# Amazon QuickSight Reviews **Vendor:** Amazon Web Services (AWS) **Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) **Average Rating:** 4.3/5.0 **Total Reviews:** 692 ## About Amazon QuickSight Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, natural language queries and embedded analytics. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Over 100,000 customers use Amazon QuickSight. Learn more at https://quicksight.aws ## Amazon QuickSight Pros & Cons **What users like:** - Users value the **seamless integration with AWS services** , enhancing their ability to create interactive dashboards easily. (69 reviews) - Users find Amazon QuickSight to be incredibly **easy to use** , allowing for seamless integration and fast dashboard creation. (62 reviews) - Users appreciate the **easy integrations** of Amazon QuickSight with AWS, streamlining data access and analysis effortlessly. (57 reviews) - Users value the **effective data visualization** capabilities of Amazon QuickSight, enhancing their analytics and insights sharing. (41 reviews) - Users value the **intuitive dashboard management** in Amazon QuickSight, enabling efficient creation and sharing of insights with ease. (39 reviews) - Users value the **scalability** of Amazon QuickSight, enabling efficient data handling for businesses of all sizes. (37 reviews) - Speed (34 reviews) - User Interface (31 reviews) - Performance (29 reviews) - Pricing (28 reviews) **What users dislike:** - Users note the **limited customization** in Amazon QuickSight, especially compared to tools like Power BI. (62 reviews) - Users find a **steep learning curve** with QuickSight, requiring expert guidance for effective visualization and data processing. (36 reviews) - Users note the **limited visualization options** in QuickSight, hindering the ability to create diverse and dynamic reports. (26 reviews) - Users highlight **missing features** in QuickSight, particularly concerning customization options and advanced visuals compared to competitors. (20 reviews) - Users note the need for a **better interface design** in Amazon QuickSight to improve usability and accessibility. (20 reviews) - Difficult Customization (16 reviews) - Large Dataset Handling (16 reviews) - Customization Difficulty (15 reviews) - Learning Difficulty (15 reviews) - Poor UI (15 reviews) ## Amazon QuickSight Reviews ### 1. Turns Raw Data into Interactive Dashboards for Better Trend Monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** Aviral G. | Manager - E-Commerce, Mid-Market (51-1000 emp.) **Reviewed Date:** May 03, 2026 **What do you like best about Amazon QuickSight?** The best thing I like about Amazon Quicksight is how easily it help turns raw data into intercatibe dashboard and visualisation. It helps detects pattern trends and what is working and what is not. It helps monitor a process effectively. **What do you dislike about Amazon QuickSight?** There are two disadvantages. One it works well only in Amazon ecosystem with AWS it is not that flexible and ui in terms of tool like tableau or power bi. Also it cannot be customized much according to need. Advancced use cases are difficult to solve. Also the tool requires little learning approach and cannot autonaticallu work **What problems is Amazon QuickSight solving and how is that benefiting you?** For an enterprise like ours, data is scartered acroas different platforms. It helps bring all of that data together into one and help us track what is happening in revenue, operations or customer experience. This is travked via different charts and dashboards. It helps track kpi, identify where we are struggling and compare it with what was happening before. We monitor chatbot deflection, revenue from different sources and channel performance via this tool ### 2. Amazon QuickSight’s New QuickSuite UI and Chat/AI Search Make Reporting Easier **Rating:** 5.0/5.0 stars **Reviewed by:** SAURABH B. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 24, 2026 **What do you like best about Amazon QuickSight?** New features have been added to Amazon QuickSight, including the new QuickSuite UI. Features like chat/AI search make it easier to learn more about reports, and they help users a lot. Even when there are gaps that weren’t explained in the analysis, it becomes easier for business stakeholders to review and understand the report. This new compatibility with the AI chatbot is great. The new charts that have been added also give more exposure and encourage me to explore QuickSight more as a tool. A lot of seminars have also happened to build more awareness, so overall it feels like a great community. **What do you dislike about Amazon QuickSight?** It still feels limited due to the lack of customization options. I also feel it has fewer chart types than I need, and it could include more chart options overall. Sometimes, depending on the data size, the Spice engine refresh is a bit slow and takes time. **What problems is Amazon QuickSight solving and how is that benefiting you?** Earlier, I used Metabase as a reporting tool. After that, I switched to QuickSight for a smaller number of reports. Later, we completely migrated all reports to QuickSight because it integrates easily with our DW. Also, more direct data sources are now available in QuickSight, which makes things easier as well. From time to time, new features get added, which is helpful.yes i feel my money is worth spending on quicksight tool billing ### 3. Easy to Use and Visually Appealing **Rating:** 4.5/5.0 stars **Reviewed by:** Juan Sebastián O. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** May 04, 2026 **What do you like best about Amazon QuickSight?** I like that Amazon QuickSight is very easy to use and extremely user-friendly. It allows connecting different data sources and building visualization dashboards very easily. This makes real-time analysis simple and fast, which is valuable for knowing how my cloud cost implementation is doing. **What do you dislike about Amazon QuickSight?** Perhaps an integration with many more data sources could be one of the points, and a generation of real-time analytics of my costs. I think that would be it. **What problems is Amazon QuickSight solving and how is that benefiting you?** I use Amazon QuickSight for graphical analytics and real-time analysis, which allows me to make decisions about cloud costs and possible optimizations. ### 4. Easy Charts & Live Dashboards with Redash Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Anup K. | Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 18, 2026 **What do you like best about Amazon QuickSight?** I can create charts and dashboards easily, and it integrates with Redash. It also lets me create calculated columns and metrics, and everything can be updated based on live data. **What do you dislike about Amazon QuickSight?** Downloading data is a bit slow. For example, downloading around 400 MB can take more than 10 minutes. The UI could also be more interactive, and the query language feels a bit different from standard PostgreSQL or MySQL. **What problems is Amazon QuickSight solving and how is that benefiting you?** We Have the Room Nights data and it get updated as per the live data and it helps in getting the live data without triggering any thing or like if we do the same in Gsheet then every time we have to run the query to get the updated data ### 5. AI Answers Aligned with Our Company SOPs **Rating:** 4.5/5.0 stars **Reviewed by:** Raqib Q. | Amazon Project Manager, Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about Amazon QuickSight?** Allows me to use AI to generate answers based on my company standard operating procedures. Previous ai chat bots were inaccurate or would not display the correct answer, but Quicksight is much better **What do you dislike about Amazon QuickSight?** Very difficult to set up ai chatbot. I needed to request the help of Amazon IT and took several months to create and use the ai chatbot and another month providing and validating the information generated. **What problems is Amazon QuickSight solving and how is that benefiting you?** Is able to generate answers for many common questions for Amazon project managers onsite for deploying new buildings. Mostly used by new amazon hires who are learning the ways of being a project manager ### 6. Fast, Serverless AWS Integration with AI Insights and Interactive Dashboards **Rating:** 4.5/5.0 stars **Reviewed by:** Smarth G. | UI UX designer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 23, 2026 **What do you like best about Amazon QuickSight?** The thing I like about this Is it’s server less, fast and integrates easily with AWS, and it let me create intractive dashboard and I get AI based insights without any heavy setup **What do you dislike about Amazon QuickSight?** The only thing I disklike about quick sight is that the visual customization and advanced features are limited and something it’s difficult for me to understand some features in it **What problems is Amazon QuickSight solving and how is that benefiting you?** The thing I like about this Is it’s server less, fast and integrates easily with AWS, and it let me create intractive dashboard and I get AI based insights without any heavy setup ### 7. Easy to use and quick **Rating:** 4.0/5.0 stars **Reviewed by:** Priya G. | Project Trainee, Small-Business (50 or fewer emp.) **Reviewed Date:** May 19, 2026 **What do you like best about Amazon QuickSight?** What I like most about Amazon QuickSight is how easy it is to use and how quickly it lets me create clear dashboards and charts. It saves me time, integrates smoothly with AWS services, and makes my data much easier to understand. **What do you dislike about Amazon QuickSight?** One thing I dislike about Amazon QuickSight is that some advanced features can feel confusing for me, and dashboards may become slow when working with very large datasets. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight helps me track marketing performance and understand my data more easily with straightforward dashboards. It saves me time and supports better content decisions, since I can quickly see what’s working and adjust accordingly. ### 8. Customizable Data Fields and Real-Time Insights Elevate Our Workflow **Rating:** 4.0/5.0 stars **Reviewed by:** Amanda S. | Staff Accountant, Mid-Market (51-1000 emp.) **Reviewed Date:** January 07, 2026 **What do you like best about Amazon QuickSight?** QS provides our company and team with the flexibility to create custom data fields tailored to the specific needs of each department. We use this system multiple times a day, and having access to real-time data is essential for tracking some of our most important metrics. **What do you dislike about Amazon QuickSight?** The only aspect I dislike is the recurring data issues, though our IT department consistently resolves them quickly. Occasionally, I've noticed that refreshing to receive updated data in the morning can take a bit longer compared to the rest of the day. **What problems is Amazon QuickSight solving and how is that benefiting you?** The ability to create custom data fields that are tailored to the unique requirements of each department is a major advantage. This feature ensures that everyone can view daily projections and track each department's progress for the month to date. ### 9. Easy, Reliable Dashboards on Huge Data with Quicksight **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Music | Enterprise (> 1000 emp.) **Reviewed Date:** May 22, 2026 **What do you like best about Amazon QuickSight?** ease of use and reliability on huge amounts of data. There are a lot of personalised use cases for which we've built dashboards on Quicksight that is really helpful. **What do you dislike about Amazon QuickSight?** nothing as such, so far it has helped us as much as we want. i use it for revenue, spends tracker, retention dashboards, geography level performance and all of it is up to the mark **What problems is Amazon QuickSight solving and how is that benefiting you?** everything related to data- data wrt daily performance of all geographies, split across different date diffs, platform leve, media source level, age, gender and a lot of other splits. ### 10. Solid BI Choice for AWS-First Teams **Rating:** 4.0/5.0 stars **Reviewed by:** Luca P. | Chief Operations Officer DEQUA Studio | Formerly CTO in MarTech, Marketing and Advertising, Small-Business (50 or fewer emp.) **Reviewed Date:** October 10, 2025 **What do you like best about Amazon QuickSight?** QuickSight’s integration with the AWS ecosystem is seamless. Connecting to S3, Redshift, or Athena happens in minutes without complex configuration or workarounds. The SPICE in-memory engine delivers fast query performance even with large datasets, which keeps dashboards responsive. I appreciate the natural language query feature (Amazon Q) that allows me to ask questions in plain English and get visual answers without writing SQL. It democratizes access to insights for non-technical stakeholders who need quick answers. The platform’s embedded analytics capability is a standout feature. I can place dashboards directly into internal applications or customer portals without additional tools. This centralizes data consumption and eliminates the need to jump between platforms. QuickSight also offers built-in machine learning features like anomaly detection and forecasting, which provide advanced insights without requiring custom algorithms. When revenue spikes unexpectedly, the ML engine surfaces an explanation automatically. The AutoGraph feature intelligently recommends chart types based on data field characteristics. This removes guesswork for team members who aren’t visualization experts and ensures consistency across reports. Security is robust with role-based access controls, single sign-on, and comprehensive auditing. QuickSight supports FedRAMP, HIPAA, PCI DSS, ISO, and SOC compliance, which covers most regulatory requirements. **What do you dislike about Amazon QuickSight?** QuickSight lacks the visualization variety found in Power BI or Tableau. Gantt charts, candlestick charts, and comparative high-low charts are missing, which limits design flexibility for specific use cases. The data model approach differs from traditional BI tools in a way that feels restrictive. Instead of building relationships between fact and dimension tables, I often need to create large denormalized datasets with repeated data. This makes data preparation more cumbersome and less efficient. **What problems is Amazon QuickSight solving and how is that benefiting you?** QuickSight centralizes reporting across departments by connecting directly to AWS data sources and presenting KPIs in unified dashboards. This reduces manual reporting work and gives stakeholders near real-time access to performance metrics. For teams tracking cloud application costs and operational performance, QuickSight provides visibility without building custom tooling. The serverless architecture removes infrastructure management entirely. I don’t need to plan capacity, provision servers, or worry about scaling. QuickSight adjusts automatically to data volume and user load, which saves engineering time and reduces operational complexity. The pay-per-session pricing model makes analytics accessible to teams with varying usage patterns. Occasional viewers don’t incur ongoing subscription costs, which makes budgeting simpler. QuickSight’s compliance certifications (HIPAA, PCI DSS, FedRAMP, ISO, SOC) solve governance challenges for regulated industries. Teams in healthcare, finance, and government can adopt the platform without additional security layers. Role-based access and comprehensive auditing ensure data protection while enabling broad access. This balance between accessibility and security is hard to achieve with on-premises tools. ### 11. Fast, Cloud-Based BI for Dashboards and Data Insights **Rating:** 4.5/5.0 stars **Reviewed by:** sultan m. | Product Designer, Mid-Market (51-1000 emp.) **Reviewed Date:** February 24, 2026 **What do you like best about Amazon QuickSight?** It is a cloud-based business intelligence and data visualization service that helps the company to analyze data, create dashboards, and share insights. It has a fast in-memory engine to process data quickly even with larger data sets. Its interface is easy to use and easy to implement. **What do you dislike about Amazon QuickSight?** It is limited pre-built visualizations compared to other tools; its initial setup is complex and complicated. The data transformations are limited. Its customer service is also not that strong. **What problems is Amazon QuickSight solving and how is that benefiting you?** As a product designer it has helped me to visualize and interpret data from multiple sources, by which it can deliver real-time insights that allow better decisions. It has also helped in optimizing user experience with automated reports serving as a self-serving insight. ### 12. Easy, Serverless BI That Works Great with Athena and S3 **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Amazon QuickSight?** It’s easy to connect, serverless, and works really well with Athena. Creating dashboards is straightforward, and sharing them with stakeholders is simple. It also handles S3 data really well. Overall, it’s a very nice experience. **What do you dislike about Amazon QuickSight?** QuickSight drawbacks include limited visual options, rising costs, a complex advanced setup, slower Athena queries, and lock-in to the AWS ecosystem. Also, if you’re working only with Athena tables, keeping the data updated can be really difficult. **What problems is Amazon QuickSight solving and how is that benefiting you?** For me, the biggest benefit is efficiency. Because I work with Athena tables, QuickSight lets me build dashboards quickly to visualize trends, performance, and operational metrics without having to repeatedly export data. The interactive dashboards also make it easier to share insights with teammates and decision-makers in a clear, simple format. ### 13. Effortless Data Visualization and Seamless AWS Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Darothi C. | Quality Assurance Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 24, 2025 **What do you like best about Amazon QuickSight?** What I value most about Amazon QuickSight is how effortlessly it allows me to create visualizations and dashboards directly from raw, unprocessed data. The user interface is both intuitive and easy to navigate, which makes integrating with AWS services a smooth process. For instance, accessing data from S3 or Redshift is especially convenient. I use Amazon QuickSight regularly for my daily work tasks as well as for personal projects. Furthermore, the customer support has been excellent, and setting up data analytics with Amazon QuickSight is both straightforward and accessible. **What do you dislike about Amazon QuickSight?** One aspect I find frustrating about Amazon QuickSight is that certain customization options are less accessible than in other Business Analytics tools. At times, even straightforward tasks such as modifying layouts or making small adjustments require more effort than I would anticipate. **What problems is Amazon QuickSight solving and how is that benefiting you?** As a QA engineer, I find that Amazon QuickSight enables me to build clear dashboards from test execution data, bug trends, and release metrics without having to rely on the data analyst team. Previously, we had to manually organize QA metrics and data in spreadsheets, which was both time-consuming and prone to errors. With QuickSight, I can pull data directly from our pipelines, visualize pass/fail rates, and highlight bottlenecks. Now, our entire team has access to these dashboards, allowing us to make decisions and plan our testing in a more data-driven way. ### 14. Visual Data Insights Made Easy, Setup Could Improve **Rating:** 4.0/5.0 stars **Reviewed by:** Nitin S. | Associate Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 08, 2026 **What do you like best about Amazon QuickSight?** I appreciate Amazon QuickSight for its ability to gather analytics reports and visualize data in illustrative charts. It helps me present analytics data in tabular format and various chart forms like pie and bar charts, making it easier to manage and view. The interactive format assists in showcasing sales value and other relevant data related to various vendors, and the million quick share dashboard aids in visualizing vendor sales. **What do you dislike about Amazon QuickSight?** The process of initial integration can be improved. The setup was easy, but it could be made simpler. **What problems is Amazon QuickSight solving and how is that benefiting you?** I use Amazon QuickSight to gather analytics reports, visualize data with illustrative charts, and present analytics in an easy-to-manage format. It's helpful for organizing data but the initial integration process could be improved. ### 15. Fast, Scalable Dashboards with Smooth Native AWS Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Ankit K. | Business Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** February 20, 2026 **What do you like best about Amazon QuickSight?** fast dashboard performance, native AWS integration, scalable for large datasets, pay-per-session pricing, easy SPICE setup, decent visualization options **What do you dislike about Amazon QuickSight?** limited visualization customization, learning curve for calculated fields, UI feels less intuitive, sharing and permissions can be confusing, dependency on AWS ecosystem **What problems is Amazon QuickSight solving and how is that benefiting you?** self-service BI on AWS data, fast insights on large datasets, reduced dependency on engineering teams, scalable reporting, cost-efficient analytics usage ### 16. Efficient, Easy Setup with Insightful Dashboards **Rating:** 4.0/5.0 stars **Reviewed by:** Leonidas R. | Network Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** October 30, 2025 **What do you like best about Amazon QuickSight?** I appreciate how seamlessly Amazon QuickSight integrates with our AWS resources, making it a straightforward choice for gathering information. I find the ease of the setup process remarkable; it takes just a few clicks to start collecting data, which saves us considerable time and effort. The integration experience is excellent, requiring minimal effort from our side to begin deriving insights. The platform provides us with comprehensive insights and information that we couldn't access with our previous tools, significantly enhancing our understanding of data files and EC2 instances. I find the operational monitoring feature particularly beneficial and have been looking forward to such capabilities. I also value the financial reporting feature that allows me to track expenses over the past few months effectively. Amazon QuickSight is fast and easy to manage, which is a primary reason I would consider purchasing it again. This ease of use allows us to focus more on decision-making and less on technical hurdles, enabling us to apply insights quickly to optimize our AWS resources. **What do you dislike about Amazon QuickSight?** I find that Amazon QuickSight could improve in terms of practicality and intuitiveness. The current design does not offer the best user experience, and making it more intuitive could enhance usability. **What problems is Amazon QuickSight solving and how is that benefiting you?** I find that Amazon QuickSight gives us insights into AWS resources, saving time and helping in decision-making. It aggregates data easily, providing valuable operational and financial insights, thus allowing us to manage our resources better. ### 17. Fast Data Storage and Great UI, but Needs Better Date Series Handling **Rating:** 5.0/5.0 stars **Reviewed by:** Akshat P. | Data Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** October 14, 2025 **What do you like best about Amazon QuickSight?** It has built-in data storage with SPICE, making it both fast and convenient to use. UI is extraordinery for devloping dashboards. easy to change datatypes of fields and select viesuals accordingly **What do you dislike about Amazon QuickSight?** Quicksight should include date series to show the data-gaps properly **What problems is Amazon QuickSight solving and how is that benefiting you?** My organization operates a transactional business, and we handle large datasets. We are able to feed this data into SPICE, which allows us to create dashboards very easily. Its easy to create user and we can control which user is allowed to see which data by RLS and CLS. we dont need to do joins in data warehouse or on row database we can do it in spice. its also supports incremental process with support of Window time. ### 18. Intuitive Dashboards and Seamless AWS Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Vaibhav R. | Full Stack Developer - BA4, Enterprise (> 1000 emp.) **Reviewed Date:** December 22, 2025 **What do you like best about Amazon QuickSight?** I like Amazon QuickSight for its easy integration. It's part of the Amazon ecosystem, so I can easily integrate it with my existing Amazon RDS, Amazon Redshift, or any other AWS components. I enjoy creating custom dashboards where I can see logs and data from different parts of AWS. It's pretty intuitive and helps me check API latency, error spikes, and monitor user features. It's also great for allowing custom analytics features. **What do you dislike about Amazon QuickSight?** The UI could be much more modern. So that could be one thing. **What problems is Amazon QuickSight solving and how is that benefiting you?** I use Amazon QuickSight to create custom dashboards for monitoring API latency, error spikes, and user metrics. It's intuitive, allowing easy data integration from AWS components with drag-and-drop features, and it provides machine learning insights. ### 19. Solid BI tool for AWS-driven ecosystems, but with some limitations **Rating:** 3.5/5.0 stars **Reviewed by:** Alexandre C. | Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** August 07, 2025 **What do you like best about Amazon QuickSight?** I like how well QuickSight integrates with other AWS services, making it easy to pull data from sources like Redshift and S3. The pricing model is competitive, especially for large organizations with many read-only users. I also appreciate the recent improvements in Generative BI (Amazon Q), which adds a layer of user-friendliness through natural language interactions. It’s quick to deploy, relatively easy to maintain, and ideal for dashboards and operational reporting in cloud-native environments. **What do you dislike about Amazon QuickSight?** While QuickSight works well within the AWS ecosystem, it lacks flexibility compared to more mature BI tools like Power BI or Tableau. Custom visualizations and formatting options are limited, and the interface can feel unintuitive at times. Advanced data modeling and transformations also require workarounds or external preprocessing. Additionally, integration with non-AWS data sources isn’t as seamless as advertised, which can slow things down in hybrid environments. **What problems is Amazon QuickSight solving and how is that benefiting you?** QuickSight helps us centralize reporting across departments by connecting directly to AWS data sources and presenting KPIs in a unified, visual way. It reduces the need for manual reporting and enables stakeholders to access dashboards in near real time. It’s especially useful for cost and performance tracking of cloud-native applications, and the pay-per-session model is cost-effective for occasional viewers. ### 20. Effortless AWS Integration, but UI and Advanced Features Need Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Daniil K. | AI Design Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 20, 2025 **What do you like best about Amazon QuickSight?** I really like how easy it is to connect QuickSight to multiple AWS data sources like Athena, S3, and Redshift. It’s fast, serverless, and scales automatically. The dashboards are interactive, visually clear, and great for sharing insights with teammates without heavy setup. It also integrates well with ML models and predictive analytics, which helps automate business insights. **What do you dislike about Amazon QuickSight?** The UI feels a bit limited compared to tools like Power BI or Tableau, especially in custom formatting and advanced visualization. Some features (like calculated fields or parameters) can be unintuitive. Performance drops slightly with large datasets, and debugging permission or SPICE issues sometimes takes longer than expected. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight helps me centralize analytics from multiple AWS sources like S3, Redshift, and Athena without manual ETL or infrastructure management. It simplifies building dashboards for both technical and business users, allowing quick insights into user behavior, performance metrics, and financial trends. The predictive analytics features also make it easier to integrate ML outputs into reports, supporting better data-driven decisions with minimal setup and maintenance effort. ### 21. Smooth AWS Integration, Easy Scalable Dashboards with Amazon QuickSight **Rating:** 3.0/5.0 stars **Reviewed by:** Nithin L. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 20, 2026 **What do you like best about Amazon QuickSight?** Amazon QuickSight integrates smoothly with AWS services and makes it easy to build scalable, interactive dashboards without having to manage the underlying infrastructure. **What do you dislike about Amazon QuickSight?** Customisation feels limited compared to Power BI, but apart from that it’s good to go. On the flip side, its visualization flexibility, advanced analytics features, and overall UI refinement still lag behind the bigger BI players. So if you need deep, highly customised analytics, or if you’re pulling data from lots of non-AWS sources, you might run into limitations. **What problems is Amazon QuickSight solving and how is that benefiting you?** It provides real-time dashboards that support faster decision-making, helping the business avoid relying on manual analysis and slow reporting when making decisions. ### 22. Simplified Data Analysis, Seamless AWS Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Ganesh G. | Senior Software Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** October 18, 2025 **What do you like best about Amazon QuickSight?** I find Amazon QuickSight particularly valuable for its speed and efficiency in generating analytics and insights from user data without the need for extensive coding. It seamlessly connects within the AWS ecosystem, allowing instantaneous data source connections, which significantly eases the setup process. The platform supports writing natural language queries, enabling users to obtain necessary data quickly and effortlessly. This feature has been a game-changer, providing user-specific insights on demand without the complexity of writing custom code. Furthermore, I appreciate its flexibility in working both within and outside the AWS ecosystem, making data integration straightforward with both internal and external sources. **What do you dislike about Amazon QuickSight?** I dislike that Amazon QuickSight isn't available as a standalone product. It would be easier if I could deploy it on other platforms rather than relying solely on AWS Cloud and using it on-premise. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight allows me to generate user-specific analytics without writing code, turning natural language requests into queries, saving us development time and meeting custom demands conveniently. ### 23. Seamless AWS Integration, Cost-Effective and Scalable **Rating:** 4.5/5.0 stars **Reviewed by:** Jojo J. | Software Developer **Reviewed Date:** October 14, 2025 **What do you like best about Amazon QuickSight?** I love using Amazon QuickSight for its seamless integration with AWS services, enabling smooth data connectivity and efficient large dataset analysis. Its interactive dashboards, machine learning-powered insights, and real-time analytics enhance my data visualization and reporting. The cost-effective, scalable architecture and the easy deployment with the pay-per-session pricing model stand out. I appreciate the natural language query feature for accessibility, fast SPICE engine performance, and secure data sharing for effective team collaboration. **What do you dislike about Amazon QuickSight?** I find some of the more complex functions in Amazon QuickSight, like calculated fields and custom visuals, a bit clunky, requiring extra navigations and clicks. It would be beneficial if the user interface for advanced analytics was made more intuitive. This would particularly help new users or non-technical members to understand and use it more easily. While QuickSight is excellent for creating dashboards and visualizations, improving the user interface and simplifying the access to advanced features would enhance its user-friendliness. Additionally, there is a slight learning curve for the advanced features, which can be a barrier initially. **What problems is Amazon QuickSight solving and how is that benefiting you?** I use Amazon QuickSight to automate dashboard creation, integrate data effectively, and access real-time insights seamlessly. It saves reporting time, enhances security, and allows faster data-driven decisions without constant IT support. Its scalability and cost-effectiveness make it ideal for all data sizes. ### 24. Empowers Nontechnical Users with Real-Time Insights **Rating:** 3.5/5.0 stars **Reviewed by:** Blessing I. | Operations Administrator **Reviewed Date:** October 13, 2025 **What do you like best about Amazon QuickSight?** I love Amazon QuickSight's SPICE engine, which significantly enhances performance by quickly loading large datasets and updating data in real-time. The user-level access control is fantastic, allowing easy permission management and data security when sharing dashboards with stakeholders. The scheduled email reports help ensure everyone stays informed by delivering key metrics directly to inboxes. Furthermore, the natural language query feature is incredibly user-friendly for nontechnical users to explore data simply by typing questions. **What do you dislike about Amazon QuickSight?** I find the customization of visuals somewhat limited in Amazon QuickSight compared to other tools like Power BI or Tableau. The lack of flexibility in layout designs, conditional formatting, and custom themes can be frustrating, especially when trying to match internal branding or create highly tailored dashboards. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight improves access to insights across the department, empowering nontechnical users with real-time data visibility. It supports decision-making, enhances team alignment, scales reporting without additional infrastructure, and simplifies tasks, saving time and making the job easier. ### 25. Amazon QuickSight: A Fast, Scalable, and Smart BI Solution **Rating:** 5.0/5.0 stars **Reviewed by:** Rekha S. | content creator on social media, Small-Business (50 or fewer emp.) **Reviewed Date:** October 09, 2025 **What do you like best about Amazon QuickSight?** Amazon QuickSight stands out as an impressive BI tool—fast, intuitive, and highly scalable. Its smooth integration with AWS and the robust SPICE engine make analyzing data straightforward, even when working with large datasets. The machine learning insights feature is particularly useful for quickly identifying trends and anomalies, which saves a significant amount of time. Additionally, the pay-per-session pricing model helps keep expenses manageable. All in all, it’s a smart, dependable, and user-friendly option for anyone looking to make data-driven decisions. I highly recommend it. **What do you dislike about Amazon QuickSight?** While Amazon QuickSight offers excellent speed and integration, it has a few limitations. The dashboard customization options can feel restricted compared to other BI tools, and the interface—though improving—may not be as polished or intuitive for new users. Some users also find data preparation and formatting a bit rigid, especially for complex datasets. Lastly, exporting reports and managing visuals could be more flexible. Despite these issues, QuickSight remains a solid choice for AWS-based analytics. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight is Amazon Web Services’ cloud BI (business intelligence) tool. It solves a number of pain points around getting insights from data, especially at scale, and makes analysis more accessible. I can walk you through what problems it addresses, how it works, and what benefits people & organisations get, from both AWS’s documentation and real-user cases. If you want, I also can relate it to your situation. ### 26. Comprehensive BI Tool with Room for Improvement **Rating:** 2.5/5.0 stars **Reviewed by:** RAKSHITH G. | Operations, Mid-Market (51-1000 emp.) **Reviewed Date:** October 06, 2025 **What do you like best about Amazon QuickSight?** Amazon QuickSight integrates smoothly with other AWS services, making it convenient for users already working within the AWS ecosystem. It provides fast, scalable analytics and allows easy creation of interactive dashboards without requiring complex setup. The SPICE engine helps in handling large datasets efficiently, and the web-based interface is accessible and responsive. **What do you dislike about Amazon QuickSight?** While Amazon QuickSight offers strong integration with AWS and solid performance, its user interface can feel less intuitive compared to some other BI tools. Customization options for visuals and layouts are somewhat limited, and advanced features may require additional AWS knowledge or setup. Pricing can also become complex to estimate when scaling to multiple users or large datasets. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight helps consolidate data from multiple AWS and external sources into a single platform for analysis and reporting. It simplifies the process of building dashboards and sharing insights across teams, reducing manual reporting efforts. The ability to generate real-time visualizations supports quicker decision-making and improves overall visibility into key business metrics. ### 27. Simple, scalable, and powerful BI tool for AWS users **Rating:** 5.0/5.0 stars **Reviewed by:** Kashifa S. | Data Integration Developer, Enterprise (> 1000 emp.) **Reviewed Date:** October 03, 2025 **What do you like best about Amazon QuickSight?** Amazon QuickSight integrates seamlessly with AWS services, making it very easy to connect to different data sources like Redshift, S3, and Athena. The dashboards are interactive, responsive, and easy to share across teams. I like the pay-as-you-go pricing model which makes it cost-effective compared to other BI tools, and the natural language query feature (“Q”) is a big plus for quickly generating insights without needing technical SQL knowledge. **What do you dislike about Amazon QuickSight?** The customization options for visuals are more limited compared to competitors like Power BI or Tableau. The initial learning curve can feel steep for non-technical users, and sometimes dashboards take longer to load when handling very large datasets. Integration outside the AWS ecosystem could also be more flexible. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight helps us centralize data from multiple AWS sources and visualize it in a way that makes decision-making faster and more data-driven. It solves the challenge of creating interactive dashboards without heavy infrastructure or BI licensing costs. By using QuickSight, we’re able to give both technical and non-technical users easy access to insights, improve reporting efficiency, and reduce dependency on manual data preparation. ### 28. A scalable BI tool for AWS users, but not the most beginner-friendly **Rating:** 3.0/5.0 stars **Reviewed by:** Shrutika P. | Junior Developer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** October 03, 2025 **What do you like best about Amazon QuickSight?** It allows for smooth ingestion of large datasets and offers good performance once configured properly. The pay-per-session pricing model is cost-effective for organizations with many occasional or non-daily users. Integration with AWS services like S3, Athena, and Redshift is seamless, making it a natural choice for teams already operating within the AWS ecosystem. Implementation is relatively straightforward if you're familiar with AWS IAM and permissions, though non-technical users may need initial support. Customer support through AWS is reliable, especially with premium plans. Since we don't use it daily, the on-demand usage model suits our team well, and the ML-powered features like anomaly detection add value without additional complexity. **What do you dislike about Amazon QuickSight?** The interface isn't as intuitive as other BI tools, and customization options for dashboards are somewhat limited. Also, real-time collaboration features are lacking, and dashboard formatting can be restrictive. **What problems is Amazon QuickSight solving and how is that benefiting you?** It reduces the need for manual reporting, supports role-based data access, and makes it easier to present trends to stakeholders. Its pay-per-session model makes it cost-efficient for teams with a mix of frequent and infrequent users. ### 29. Powerful and Intuitive BI Solution! **Rating:** 5.0/5.0 stars **Reviewed by:** Saneel P. | Self-employed, Small-Business (50 or fewer emp.) **Reviewed Date:** October 02, 2025 **What do you like best about Amazon QuickSight?** I find Amazon QuickSight to be an incredibly powerful and user-friendly business intelligence tool. Its seamless integration with AWS services is a major plus, allowing for easy data access and analysis. I particularly appreciate its intuitive interface for creating interactive dashboards and visualizations, which makes complex data easily digestible for my team. The ability to share insights quickly and efficiently has significantly improved our decision-making process. **What do you dislike about Amazon QuickSight?** While my experience with Amazon QuickSight has been overwhelmingly positive, if I were to offer a suggestion for future enhancement, it would be to further expand the library of pre-built custom visuals. While the existing options are excellent, having a broader range of specialized visuals could cater to even more niche analytical needs. However, this is a minor point, as the current capabilities are more than sufficient for most use cases. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight is helping us solve the problem of data silos by providing a unified platform for business intelligence and analytics. This allows our teams to easily access and analyze data from various sources, leading to faster decision-making and improved operational efficiency. The benefit is that we can now get a comprehensive view of our business performance, identify trends, and proactively address any issues. ### 30. Efficient BI Tool with Solid AWS Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Leonid C. | Senior Artificial Intelligence Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 07, 2025 **What do you like best about Amazon QuickSight?** Amazon QuickSight is tightly integrated with the AWS ecosystem, which makes it very convenient to use for data stored in S3, Redshift, and Athena. I like that it scales well without complex setup, and the cost-effective pay-per-session pricing model is especially useful compared to traditional BI tools. The interactive dashboards are responsive, and the ability to quickly embed analytics into apps or internal portals helps reduce development overhead. **What do you dislike about Amazon QuickSight?** The user interface can sometimes feel less intuitive compared to competitors, especially for new users who are not familiar with AWS services. Advanced customization for visualizations is somewhat limited, and documentation could be improved with more practical, end-to-end examples. There are also occasional delays when working with larger datasets, which can affect the user experience in real-time analysis. **What problems is Amazon QuickSight solving and how is that benefiting you?** QuickSight centralizes self‑service BI on top of our AWS data lake and warehouse (Athena/Redshift/S3), removing ad‑hoc notebook dashboards and reducing time from model output to stakeholder‑ready visuals. SPICE acceleration and direct queries let analysts explore large datasets without managing servers, while embedded dashboards and row‑level security enable safe sharing with product and internal users. As a result, reporting latency dropped from days to hours, ad‑hoc analysis load on the data team decreased, and product teams gained near‑real‑time visibility into KPIs and ML inference quality. ### 31. Cost-Effective BI with Some Visualization Trade-Offs **Rating:** 4.5/5.0 stars **Reviewed by:** Pranav N. **Reviewed Date:** September 03, 2025 **What do you like best about Amazon QuickSight?** I appreciate Amazon QuickSight's cost-effectiveness, which is crucial for us. Its capability to integrate seamlessly with multiple data sources, and support for a large number of database connections, makes it incredibly useful. I also enjoy its serverless architecture and the ease of use of its filters. The ability to provide quick visualizations and personalized dashboards helps us convert data into insights efficiently, saving us significant time. Additionally, having fewer visualization options makes the tool easier to understand, which aligns well with our needs. **What do you dislike about Amazon QuickSight?** I find the visualization options somewhat limited, which can be a flaw in terms of variety and depth. While the current simplicity is easy for new users to grasp, more visuals and finer control would greatly enhance the tool's flexibility. This includes the ability to customize dashboards more extensively and adjust data representations more precisely. Additionally, having more detailed analytics on dashboard usage, such as how many have used it, who used it, and the exact run times, would be beneficial. This lack of flexibility in meeting diverse organizational needs is an area I'd like to see improved. **What problems is Amazon QuickSight solving and how is that benefiting you?** I use Amazon QuickSight to solve data integration issues and provide quick visualizations. It helps in converting data into insights efficiently, allowing personalized dashboards and saving time. Its cost-effectiveness and serverless nature also fit our budget needs while connecting to multiple databases. ### 32. Excellent **Rating:** 5.0/5.0 stars **Reviewed by:** Shukran A. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 10, 2025 **What do you like best about Amazon QuickSight?** Platform is easy to use. Number of Features are really a lot. Since it is fast and easy to use, it is saving you a lot of time and effort. It has good customer support. **What do you dislike about Amazon QuickSight?** QuickSight has fewer advanced chart customization options compared to competitors like Power BI or Tableau. Those customizations can be really needed in some situations. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight easily connects to a wide range of data sources, including: AWS services: S3, Redshift, Athena, RDS, Aurora, DynamoDB, EMR, and more. Databases: MySQL, PostgreSQL, SQL Server, MariaDB, Oracle, Teradata, Snowflake, and other JDBC-compliant databases. Applications & SaaS: Salesforce, Microsoft Excel, Jira, Twitter, and other third-party SaaS applications. Streaming & big data: Supports integration with streaming data sources like Kinesis and Spark clusters. ### 33. “Powerful, Scalable, and Seamlessly Integrated BI Tool for AWS Users” **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about Amazon QuickSight?** Amazon QuickSight stands out for its seamless integration with other AWS services like Redshift, S3, and Athena, which makes it incredibly efficient for analyzing large-scale datasets stored in the cloud. The interface is intuitive and easy to navigate, allowing both technical and non-technical users to create interactive dashboards and visualizations quickly. I particularly appreciate the speed of the SPICE engine, which enables fast, in-memory data processing even for complex queries. The ability to embed dashboards into applications and share insights securely across teams is another major plus. It’s also cost-effective since it follows a pay-per-session model, which ensures scalability without unnecessary overhead. Overall, QuickSight provides enterprise-grade analytics with the simplicity of a self-service BI tool. **What do you dislike about Amazon QuickSight?** While QuickSight is powerful, there are a few areas that could be improved. The customization options for visuals are somewhat limited compared to competitors like Tableau or Power BI, especially when it comes to fine-tuning chart aesthetics. The initial setup can be slightly complex for first-time users, particularly when configuring permissions and data sources within AWS. Additionally, while the SPICE engine is fast, it has data size limits that may require frequent refreshes for very large datasets. The documentation, though comprehensive, can sometimes be overly technical for business users. Despite these minor drawbacks, the overall performance and integration capabilities make it a strong choice for AWS-centric organizations. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight helps us centralize and visualize data from multiple AWS sources like S3, Redshift, and Athena, eliminating the need for manual data aggregation. It has significantly improved our decision-making process by providing real-time insights through interactive dashboards. The SPICE engine’s in-memory computation allows us to analyze large datasets quickly, which is crucial for time-sensitive reporting. QuickSight also simplifies collaboration by enabling secure sharing of dashboards across teams, ensuring everyone has access to consistent, up-to-date metrics. This has reduced reporting turnaround time by over 40% and improved transparency across departments. Its integration with AWS services ensures scalability and cost efficiency, making it an ideal analytics solution for our growing data needs. ### 34. POC - AWS QuickSight **Rating:** 5.0/5.0 stars **Reviewed by:** Prateek B. | Senior Business Intelligence Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 22, 2022 **What do you like best about Amazon QuickSight?** Ease of connection with source data and view datasets. Once connection is done with source data can create variety of multiple graphs and charts quickly with drag and drop functionality. **What do you dislike about Amazon QuickSight?** User interface need to work to get more user friendly other than that all things are good. If we compare with the other tools then can be improved on UI. **What problems is Amazon QuickSight solving and how is that benefiting you?** Data to extract from Athena and visualize on QuickSight, Action perform for some visual not all so in short customize action on visuals which benefits me. ### 35. Solid BI Tool with Seamless AWS Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Wareez O. | Amazon Warehouse associate (STN8 UK), Enterprise (> 1000 emp.) **Reviewed Date:** September 18, 2025 **What do you like best about Amazon QuickSight?** What I like best about Amazon QuickSight is how easily it integrates with AWS services. Pulling in data from different sources is seamless, and the interactive dashboards make it simple to share insights with my team. It’s also cost-effective compared to many other BI tools, which is a big plus. **What do you dislike about Amazon QuickSight?** What I dislike about Amazon QuickSight is that the customization options for visuals are somewhat limited compared to other BI tools. There’s also a bit of a learning curve at the start, especially for users who aren’t already familiar with AWS. Once you get past that, though, it becomes much easier to use. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight makes it easy to turn data into clear dashboards and reports. It saves me time with its seamless AWS integration and helps my team make faster, data-driven decisions. ### 36. Amazon QuickSight **Rating:** 4.0/5.0 stars **Reviewed by:** Niko G. | Data Consultant - Data Visualisation, Small-Business (50 or fewer emp.) **Reviewed Date:** June 12, 2025 **What do you like best about Amazon QuickSight?** native connection to AWS is the best part for me and my team at the moment since we are building a whole new solution built around it - we will definetly explore more options regarding this **What do you dislike about Amazon QuickSight?** there is nothing in particular that i dislike about the product. cut the price maybe? i don't know because it seems kinda unique in its own space if im making any sense **What problems is Amazon QuickSight solving and how is that benefiting you?** centralizing analytics from multiple sources in order to then transform that data which will be used in the ad hoc reporting for the end user, rather than having multiple sources of data we now have one ### 37. Lightning-Fast Dashboards with Effortless Scaling **Rating:** 4.5/5.0 stars **Reviewed by:** Honey J. | Software Developer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** November 26, 2025 **What do you like best about Amazon QuickSight?** QuickSight’s in-memory engine SPICE can handle millions of rows with sub-second performance. People like this the most because dashboards stay fast even with heavy data. Everything auto-scales automatically. **What do you dislike about Amazon QuickSight?** fewer visualization types fewer formatting options imited control over fine-grained design AWS updates QuickSight, but not as rapidly as competitors. Some missing features take years to arrive. **What problems is Amazon QuickSight solving and how is that benefiting you?** It eliminates the need to manage BI infrastructure, reduces dashboard loading times using SPICE, and makes it easy to share insights across teams.QuickSight removes the need for servers, installations, or manual scaling. Benefit: Less operational overhead and faster setup. ### 38. Effortless Dashboard Creation and Lightning-Fast Data Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Poorvi . | marketing science analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** November 22, 2025 **What do you like best about Amazon QuickSight?** I like how easy it is to build and share dashboards without heavy setup, and the way it handles large datasets smoothly with SPICE makes analysis feel fast and lightweight. **What do you dislike about Amazon QuickSight?** Some customisations feel limited compared to tools like Power BI, and the interface can be a bit unintuitive when trying to create more advanced visuals. **What problems is Amazon QuickSight solving and how is that benefiting you?** It helps me turn large, messy datasets into clean, shareable dashboards quickly, without needing heavy engineering support. That saves a lot of time and makes reporting far more consistent and accessible for the team. ### 39. Strong Visualization, But Needs Refinement **Rating:** 3.0/5.0 stars **Reviewed by:** Yajnesh R. **Reviewed Date:** September 16, 2025 **What do you like best about Amazon QuickSight?** I really appreciate the power of Amazon QuickSight's dashboards and visualizations. They are excellent and significantly better, which helps me communicate more effectively with my team. The clarity of the visualizations and the availability of various styles make it easier to break down complex information, especially for non-technical staff. I find the capability to make graphs through different definition variables very helpful. **What do you dislike about Amazon QuickSight?** I'm not particularly thrilled with anything beyond the dashboard and visualization features of Amazon QuickSight. There seems to be an overall clutter in the design, which I think could be made more seamless to improve the user experience. **What problems is Amazon QuickSight solving and how is that benefiting you?** I use it for better data visualizations and dashboards, enhancing communication with my team through clarity in visual representation. ### 40. Easy access to dashboards and data insights **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** September 30, 2025 **What do you like best about Amazon QuickSight?** I found QuickSight very useful for quickly accessing dashboards and extracting data without needing complex setup. The dashboards were straightforward to navigate, and having everything centralised saved a lot of time compared to handling raw data manually. **What do you dislike about Amazon QuickSight?** While it’s good for viewing dashboards, I felt limited when it came to deeper customisation or more advanced analysis. The interface can sometimes feel less intuitive, especially if you want to go beyond basic data extraction. **What problems is Amazon QuickSight solving and how is that benefiting you?** QuickSight makes it easy to access data and dashboards in one place without needing to request manual reports. It saves time, improves visibility of key metrics, and allows me to quickly extract the information I need to support decisions. ### 41. Beautiful Visualizations, But Steep Learning Curve for New Users **Rating:** 2.0/5.0 stars **Reviewed by:** Jessyca H. | Enterprise - CS Billing & Operations Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** October 20, 2025 **What do you like best about Amazon QuickSight?** The visualizations are clean and visually appealing. I also appreciate how easy it is to add them to dashboards and share insights with the team in a collaborative way. **What do you dislike about Amazon QuickSight?** The platform isn’t very user-friendly, especially for new users. It takes quite a bit of time to understand how to build visualizations effectively, and the querying process can be a bit unintuitive. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight makes it easier to communicate insights to a broader audience through interactive dashboards. The visualizations help clearly convey key metrics, such as business performance and internet service performance, in a way that’s easy to understand and act on. ### 42. Scalable BI Revolution with Amazon QuickSight **Rating:** 5.0/5.0 stars **Reviewed by:** Neeraj Kumar N. | AI Data Specialist | Transcription & Annotation Expert | AI Model Training at Sigma AI, Mid-Market (51-1000 emp.) **Reviewed Date:** July 09, 2025 **What do you like best about Amazon QuickSight?** I appreciate how Amazon QuickSight seamlessly integrates with our existing AWS infrastructure, making data accessible and enabling self-service analytics across the organization. The interactive dashboards, live data refreshes, and the ease of sharing access through secure URLs simplify data management. QuickSight's simplicity in setup and ongoing maintenance without the need for BI servers is remarkable, making it an ideal choice for an AWS-centric company. Additionally, the regular feature updates, like natural language queries, further enhance its value, ensuring it remains a robust, scalable, and secure BI tool for our needs. **What do you dislike about Amazon QuickSight?** I found the initial setup and learning curve with Amazon QuickSight challenging, especially in terms of mastering best practices to optimize performance and create user-friendly dashboards. Additionally, managing live queries directly against Redshift initially posed some technical challenges. However, once we navigated these hurdles, the process became much smoother. **What problems is Amazon QuickSight solving and how is that benefiting you?** I use QuickSight to create interactive dashboards, automating data refreshes, reducing repetitive tasks, and providing real-time insights. It enhances our analytic process, shifting focus from manual reporting to strategic analysis, making data accessible to decision-makers consistently and scalably across the organization. ### 43. Amazon QuickSight review **Rating:** 5.0/5.0 stars **Reviewed by:** Ashwini B. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 09, 2025 **What do you like best about Amazon QuickSight?** What I like best about Amazon QuickSight is how seamlessly it integrates with other AWS services. It makes pulling data from S3, Redshift, or Athena really smooth, and the SPICE engine speeds up dashboard performance noticeably. It's also easy to share interactive reports without heavy setup, which is great for collaboration. **What do you dislike about Amazon QuickSight?** While Amazon QuickSight is powerful within the AWS ecosystem, there are a few areas where it could improve. The ease of use isn't as intuitive as other BI tools—custom visuals and formatting can be a bit rigid. Implementation is straightforward if you're already using AWS, but not as beginner-friendly for those outside that environment. I’ve found customer support to be decent but not always quick with technical queries. I use QuickSight a few times a week, and while it gets the job done, I sometimes miss the flexibility and polish of tools like Power BI or Tableau. **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight helps solve the problem of making large-scale, distributed data more accessible and visual for decision-making—especially within the AWS environment. For me, it simplifies connecting to data sources like S3 and Redshift, speeds up reporting with the SPICE engine, and allows for easy dashboard sharing across teams. This reduces reliance on manual reporting, saves time, and helps turn raw data into actionable insights more efficiently. ### 44. My personal experience: great for AWS users, but not always the easiest to use **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.) **Reviewed Date:** September 23, 2025 **What do you like best about Amazon QuickSight?** I like how easy it is to connect QuickSight with other AWS services. It saves a lot of time when pulling data together, and the dashboards are pretty fast and interactive once you get them set up. The pay-per-session pricing is also a big plus because it keeps costs down compared to other BI tools I’ve used. **What do you dislike about Amazon QuickSight?** The tool isn’t always the most user-friendly. Sometimes it takes a while to figure out how to do simple things, and the customization options for charts and visuals feel limited. For more complex data, I often need to prepare it outside of QuickSight first, which can be frustrating. The documentation could also be better—it doesn’t always explain advanced features in a clear way. **What problems is Amazon QuickSight solving and how is that benefiting you?** QuickSight helps me turn raw data into dashboards and reports that are easy to share with my team. Instead of spending time exporting spreadsheets or running manual queries, I can quickly build visuals and track KPIs in real time. Since it’s integrated with AWS, I don’t have to worry about moving data around—it’s already connected. This saves me time, reduces errors, and makes it much easier for everyone to make decisions based on the same information. ### 45. Amazon QuickSight **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammed T. | Senior AI Associate, Client Technology, Mid-Market (51-1000 emp.) **Reviewed Date:** October 02, 2025 **What do you like best about Amazon QuickSight?** I appreciate the integration with AWS services. The scalability and performance when it comes to sharing and embedding are impressive. I also find the ML and NLP features, as well as the cost models, to be really good. **What do you dislike about Amazon QuickSight?** The customisation options are quite limited, and there is a steep learning curve when it comes to using the more advanced features. Additionally, the performance with very large data sets does not meet expectations. The product also feels heavily AWS-centric. **What problems is Amazon QuickSight solving and how is that benefiting you?** It is helping me make decisions more quickly, improve cost efficiency, and ensure accessibility for all users. The embedded analytics and future-proofing features are also valuable. ### 46. Powerful BI tool with seamless AWS integration but room for UI improvements **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** September 18, 2025 **What do you like best about Amazon QuickSight?** It makes it easy to connect directly with AWS data sources like S3, Redshift, and Athena, which saves a lot of time compared to traditional BI setups. I also like the speed and scalability—it handles large datasets smoothly and offers pay-per-session pricing, which is cost-efficient. The ML insights feature is particularly useful for quick trend spotting without having to build complex models. **What do you dislike about Amazon QuickSight?** The user interface feels less intuitive compared to competitors like Power BI or Tableau. Customization of visuals can sometimes be limited, and creating complex calculated fields or advanced dashboards requires a learning curve. Documentation is decent but could go deeper in certain areas, especially for more advanced use cases. **What problems is Amazon QuickSight solving and how is that benefiting you?** Connection to data sources and integration to AWS is easy without need for complex ETL pipelines and reduces my need as a manager to rely on data engineering teams for tasks like data extraction and preparation. ### 47. Unified Dashboard Brings All Services Together **Rating:** 4.0/5.0 stars **Reviewed by:** Albin C. | MLOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 21, 2025 **What do you like best about Amazon QuickSight?** One of the thinks that I truly love about Amazon Quicksight is the ability to connect different services together so that you can have visibility on all your services in one place. A dashboard **What do you dislike about Amazon QuickSight?** One of the things that I have been struggling with is that I am sometimes limited on the visualization choices, compared to other Visualization tools. **What problems is Amazon QuickSight solving and how is that benefiting you?** Usually integrating different data sources and also the AWS data reporting and storing the results in S3. Because I can then use the reports for my stakeholders meeting when I need them. ### 48. A sight that fulfill all your date record requriments **Rating:** 4.5/5.0 stars **Reviewed by:** Sarita B. | Admin Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** September 17, 2025 **What do you like best about Amazon QuickSight?** i love the Features Amazon Q, help me convey and understand it in much better way the 2nd feature i like is QuickSight dashboards also **What do you dislike about Amazon QuickSight?** its not for small group to use it need to have a large number of product that i fee cannot use in small scale this need to be improve and once any customer add arrange a one to one call to explain the user all the feature **What problems is Amazon QuickSight solving and how is that benefiting you?** Amazon QuickSight helps automate reporting and visualize real-time data like agent performance, call volumes, and attendance. It reduces manual work and makes it easier to share insights with management quickly. ### 49. Fast, Cloud-Native BI That Scales with Your Data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** September 04, 2025 **What do you like best about Amazon QuickSight?** QuickSight’s strongest asset is its seamless integration with AWS infrastructure. The ability to ingest data directly from services like Redshift, Athena, and S3 with minimal setup is a major advantage for cloud-native teams. The SPICE engine significantly improves query performance and dashboard responsiveness, especially for large datasets. Embedding dashboards into web applications is straightforward via the API, and the pay-per-session pricing model is cost-effective for scalable deployments. **What do you dislike about Amazon QuickSight?** The platform’s limitations become apparent when attempting advanced customization. Visualization options are rigid, and formatting controls are minimal compared to tools like Tableau or Power BI. The calculated field editor lacks robust debugging tools, and complex logic often requires workarounds. Documentation is sparse for non-standard use cases, and support channels are slow to respond with actionable guidance. Additionally, version control and collaborative development features are missing, which can hinder enterprise-level BI workflows. **What problems is Amazon QuickSight solving and how is that benefiting you?** We use QuickSight as our go-to self-service analytics layer on top of AWS. It hooks directly into Redshift and S3 so we can spin up interactive dashboards in minutes and load million-row reports. Internally, uses it to explore metrics in real time, and externally we embed and share complex, interactive reports with clients so they get deep insights without ever touching raw data or juggling multiple tools. ### 50. Embedded Analytics Enhance Business Insights **Rating:** 3.5/5.0 stars **Reviewed by:** Anakha B. **Reviewed Date:** August 05, 2025 **What do you like best about Amazon QuickSight?** I appreciate Amazon QuickSight’s embedded analytics in customer-facing apps, making it really useful for my business. The interactive dashboard and chart features for reporting directly into apps or websites are outstanding, enhancing data visualization for external users. I find the machine learning insights extremely valuable, as they automatically detect outliers and forecast trends, perfectly aligning with my work needs. Additionally, the pay-per-session pricing is cost-effective, because I pay only when users view the dashboards. **What do you dislike about Amazon QuickSight?** I would prefer Amazon QuickSight to offer a free version, rather than just the paid option. **What problems is Amazon QuickSight solving and how is that benefiting you?** I use Amazon QuickSight to create dashboards, operational reports, monitor KPIs, and embed analytics in apps. It’s cost-effective with pay-per-session pricing, integrates with AWS, and offers machine learning insights for anomaly detection, enhancing decision-making with actionable data. ## Amazon QuickSight Discussions - [What is Amazon QuickSight used for?](https://www.g2.com/discussions/what-is-amazon-quicksight-used-for) - 2 comments, 1 upvote - [What is new in QuickSight?](https://www.g2.com/discussions/what-is-new-in-quicksight) - 1 comment, 1 upvote - [Is AWS QuickSight free?](https://www.g2.com/discussions/is-aws-quicksight-free) - 2 comments, 1 upvote - [How does AWS QuickSight work?](https://www.g2.com/discussions/how-does-aws-quicksight-work) - 2 comments, 1 upvote - [What is Amazon QuickSight?](https://www.g2.com/discussions/what-is-amazon-quicksight) - 2 comments, 1 upvote - [View Amazon QuickSight pricing details and edition comparison](https://www.g2.com/products/amazon-quicksight/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-27+11%3A27%3A28+-0500&secure%5Bsession_id%5D=8aa9b6e8-f9c5-49fc-a1c7-a54c57e0daa0&secure%5Btoken%5D=075a664c1e534d3e942200db9dbfc1d77b5b1424a45c14669d02e02b72be5a69&format=llm_user) ## Amazon QuickSight Integrations - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) - [Amazon Simple Email Service (Amazon SES)](https://www.g2.com/products/amazon-simple-email-service-amazon-ses/reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews) - [AWS Mobile SDK](https://www.g2.com/products/aws-mobile-sdk/reviews) - [Google Workspace](https://www.g2.com/products/google-workspace/reviews) - [MA3000](https://www.g2.com/products/ma3000/reviews) - [Microsoft Excel](https://www.g2.com/products/microsoft-excel/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [OK dokument](https://www.g2.com/products/ok-dokument/reviews) - [Omuni](https://www.g2.com/products/omuni/reviews) - [Redash](https://www.g2.com/products/redash/reviews) - [Redshift](https://www.g2.com/products/redshift/reviews) - [SA MaaS Microsoft Windows Server](https://www.g2.com/products/sa-maas-microsoft-windows-server/reviews) ## Amazon QuickSight Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Data Preparation** - Connectors - Data Governance **Statistical Tool** - Scripting - Data Mining - Algorithms **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Data Analysis** - Analysis - Data Interaction **Generative AI** - AI Text Generation - AI Text Summarization **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Generative AI** - AI Text Generation - AI Text Summarization **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Amazon QuickSight Alternatives - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,546 reviews) - [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews) - 4.4/5.0 (761 reviews) - [Plotly Dash Enterprise](https://www.g2.com/products/plotly-dash-enterprise/reviews) - 4.8/5.0 (36 reviews)