Best Analytics Platforms for Small Business

How Many Analytics Platforms Products Does G2 Track?

Total Products under this Category: 607

Category Stats (Nov 2026)

  • Average Rating: 4.52/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Publytics (+2.03%) - Among all products in this category, Publytics recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 30,200+ Authentic Reviews
  • 607+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Analytics Platforms

G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence

Highlighted products: Tableau, Microsoft Power BI, SAS Viya, Looker, Alteryx, GoodData.AI, Splunk Enterprise, and KNIME.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=tableau&focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=sas-sas-viya&focus%5B%5D=looker&focus%5B%5D=alteryx&focus%5B%5D=gooddata-ai&focus%5B%5D=splunk-enterprise&focus%5B%5D=knime-analytics-platform&segment=small-business)

Tableau

Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud.

Average Rating: 4.4/5.0

Total Reviews: 4,120

How Do G2 Users Rate Tableau?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.3/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Tableau?

  • Seller: Salesforce
  • Company Website:
  • Year Founded: 1999
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    89,711 employees on LinkedIn®
  • Ownership: NYSE:CRM

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Large, 36% Medium

What Do G2 Reviewers Say About Tableau?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Tableau, allowing quick insights and interactive dashboard creation effortlessly.
  • Users find Tableau's simple and interactive data visualization essential for transforming complex data into actionable insights.
  • Users value the simple and interactive data visualization capabilities of Tableau, enhancing clarity and insights from complex data.
  • Users value Tableau's intuitive design and powerful visualization capabilities that facilitate quick insights and effective decision-making.
  • Users value the intuitive interface of Tableau, enabling effortless creation of engaging, clear data visualizations for insights.
Cons
  • Users experience a steep learning curve with Tableau, requiring time and effort to master its advanced features.
  • Users find the learning difficulty of Tableau challenging, especially for advanced features and new terminology.
  • Users find Tableau to be expensive, especially for small organizations, impacting accessibility and overall affordability.
  • Users experience slow performance with Tableau when processing large datasets, impacting usability and efficiency.
  • Users find formatting and implementation difficult, often feeling overwhelmed when trying to create tables effectively.

What Are Recent G2 Reviews of Tableau?

What Are G2 Users Discussing About Tableau?

Microsoft Power BI

Power BI Desktop puts visual analytics at your fingertips. With this powerful authoring tool, you can create interactive data visualizations and reports. Connect, mash up, model, and visualize your data. Place visuals exactly where you want them, analyze and explore your data, and share content with others by publishing to the Power BI web service. Power BI Desktop is part of the Power BI product suite. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. To embed stunning, fully interactive reports and visuals into your applications use Power BI Embedded.

Average Rating: 4.5/5.0

Total Reviews: 1,610

How Do G2 Users Rate Microsoft Power BI?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.4/10 (Category avg: 8.4/10)
  • Reports Interface: 8.9/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Microsoft Power BI?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

Who Uses This Product?

  • Who Uses This: Data Analyst, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 42% Large, 38% Medium

What Do G2 Reviewers Say About Microsoft Power BI?

AI-generated summary from verified user reviews

Pros
  • Users find Power BI to be user-friendly, facilitating easy data visualization and efficient report sharing.
  • Users value the seamless integration and interactive visualizations of Power BI, enhancing their data analysis efficiency.
  • Users value the seamless integration of Power BI with Microsoft tools, enhancing their data analysis and reporting capabilities.
  • Users love the intuitive interface and powerful reporting features of Microsoft Power BI, enhancing their data analysis experience.
  • Users value the seamless data integration capabilities of Power BI, enhancing accessibility across various data sources and platforms.
Cons
  • Users find the steep learning curve of DAX and other advanced features frustrating for beginners.
  • Users experience slow performance with large datasets in Power BI, often impacting their workflow efficiency.
  • Users report performance issues with Power BI, especially when handling large or complex datasets, affecting speed and efficiency.
  • Users find complex data modeling challenging, especially with large datasets, impacting performance and usability.
  • Users find the limited customization options in Power BI frustrating, restricting their ability to present data creatively.

What Are Recent G2 Reviews of Microsoft Power BI?

What Are G2 Users Discussing About Microsoft Power BI?

SAS Viya

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

Average Rating: 4.3/5.0

Total Reviews: 793

How Do G2 Users Rate SAS Viya?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.4/10)
  • Reports Interface: 8.5/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind SAS Viya?

  • Seller: SAS Institute
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 34% Small, 33% Large

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of SAS Viya, thanks to its simple syntax and integrated features for analytics.
  • Users commend SAS Viya for its powerful and sophisticated features that enhance data analysis and collaboration across teams.
  • Users value the powerful analytics and integration features of SAS Viya, significantly enhancing data analysis capabilities.
  • Users value the powerful data analysis capabilities of SAS Viya, enhancing efficiency and integration for various tasks.
  • Users value the modern, intuitive user interface of SAS Viya, enhancing productivity with seamless navigation and integration.
Cons
  • Users find the learning difficulty of SAS Viya challenging, especially for beginners due to its complexity and limited resources.
  • Users find SAS Viya has a steep learning curve, making it challenging for newcomers to grasp effectively.
  • Users find SAS Viya's complexity and steep learning curve challenging, hindering effective use and self-learning opportunities.
  • Users find the difficult learning curve of SAS Viya challenging, especially for beginners seeking easier comprehension.
  • Users find the licensing costs of SAS Viya to be prohibitively expensive, especially for features they don't use.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

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Looker

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.

Average Rating: 4.4/5.0

Total Reviews: 1,678

How Do G2 Users Rate Looker?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.2/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Looker?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Medium, 21% Small

What Do G2 Reviewers Say About Looker?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use with Looker, facilitating real-time reporting and seamless integration for effective analytics.
  • Users value Looker's real-time dashboards and powerful data modeling, enhancing self-service analytics and consistent reporting across teams.
  • Users enjoy the easy integrations of Looker, facilitating seamless connection with data warehouses for efficient analytics.
  • Users appreciate the seamless integrations of Looker, enhancing data management and analytics accessibility across their platforms.
  • Users value Looker's real-time data visualization, enabling clear, interactive dashboards that drive informed decision-making.
Cons
  • Users find the learning curve steep, especially non-technical users who may struggle with LookML and dashboard customization.
  • Users find the learning difficulty of Looker's LookML challenging, especially for those without technical expertise.
  • Users often face slow loading times, especially with large data sets, impacting their overall experience with Looker.
  • Users often experience slow performance with Looker, particularly when handling large datasets and complex dashboards.
  • Users find the complexity of Looker challenging, especially due to the steep learning curve and limited customizations.

What Are Recent G2 Reviews of Looker?

What Are G2 Users Discussing About Looker?

Alteryx

Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.

Average Rating: 4.6/5.0

Total Reviews: 932

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 61% Large, 22% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Alteryx, enabling them to work efficiently without coding expertise.
  • Users appreciate the automation capabilities of Alteryx, enabling efficient workflows and streamlined data processing.
  • Users find Alteryx to be super-intuitive, making complex data analysis and migration tasks significantly easier.
  • Users find Alteryx to be super-intuitive and easy to learn, greatly simplifying their data analysis processes.
  • Users commend Alteryx for its efficiency, with quick workflows and time savings in data preparation and automation.
Cons
  • Users find the expensive licensing costs of Alteryx a barrier for wider adoption and utilization.
  • Users find the learning curve steep, requiring time to grasp all the tools effectively.
  • Users are frustrated with missing features like improved email notifications and bugs in tools during transitions.
  • Users find that mastering advanced tools in Alteryx requires time, affecting overall ease of use.
  • Users experience slow performance with large workflows on Alteryx, impacting efficiency and usability significantly.

What Are Recent G2 Reviews of Alteryx?

Splunk Enterprise

Find out what is happening in your business and take meaningful action quickly with Splunk Enterprise. Automate the collection, indexing and alerting of machine data that's critical to your operations. Uncover the actionable insights from all your data — no matter the source or format. Leverage artificial intelligence and machine learning for predictive and proactive business decisions.

Average Rating: 4.3/5.0

Total Reviews: 415

How Do G2 Users Rate Splunk Enterprise?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.2/10)
  • Reports Interface: 5.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Splunk Enterprise?

  • Seller: Cisco
  • Year Founded: 1984
  • HQ Location: San Jose, CA
  • LinkedIn® Page: www.linkedin.com
    95,294 employees on LinkedIn®
  • Ownership: NASDAQ:CSCO
  • Phone: 847-678-6600

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 64% Large, 28% Medium

What Do G2 Reviewers Say About Splunk Enterprise?

AI-generated summary from verified user reviews

Pros
  • Users value the innovation in data handling that Splunk Enterprise offers, enhancing insights and integration capabilities.
  • Users value the highly customizable dashboards in Splunk Enterprise, enhancing data visualization and insights significantly.
  • Users find Splunk Enterprise to be easy to use, with intuitive dashboards and simple setup for configurations.
  • Users find Splunk Enterprise's end-to-end log management essential for effective observability and IT infrastructure management.
  • Users appreciate the robust reporting features of Splunk Enterprise, allowing for customizable log insights and dynamic dashboards.
Cons
  • Users find Splunk Enterprise expensive, especially with growing data volumes and high renewal costs affecting affordability.
  • Users find the learning curve steep for Splunk Enterprise, requiring formal training to navigate its complexities effectively.
  • Users find the licensing costs and model of Splunk Enterprise challenging and complicated, impacting sales and usability.
  • Users find integration issues with Splunk Enterprise, noting limitations and delays in data display and onboarding options.
  • Users find the limited integration capabilities of Splunk Enterprise frustrating, especially after the recent version update.

What Are Recent G2 Reviews of Splunk Enterprise?

What Are G2 Users Discussing About Splunk Enterprise?

GoodData.AI

GoodData.AI is the full-stack, AI-native decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. Designed for governed, scalable analytics, GoodData.AI enables organizations to build, operationalize, and embed decisions, workflows, and AI agents directly within products and business workflows. The platform combines Analytics as Code, a governed semantic and metrics layer, APIs, SDKs, and open AI interoperability to help teams create composable analytics and AI experiences across products, workflows, and customer environments. From embedded analytics and dashboards to assistants, AI workflows, and interoperable agents, GoodData.AI gives teams the foundation to move from insight to action with governance, performance, and deployment flexibility built in. Today, GoodData.AI serves over 140,000 companies and 3.2 million users worldwide.

Average Rating: 4.3/5.0

Total Reviews: 611

How Do G2 Users Rate GoodData.AI?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.3/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind GoodData.AI?

  • Seller: GoodData.AI
  • Company Website:
  • Year Founded: 2007
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    290 employees on LinkedIn®
  • Phone: (415) 200-0186

Who Uses This Product?

  • Who Uses This: Data Analyst, Product Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 44% Medium, 41% Small

What Do G2 Reviewers Say About GoodData.AI?

AI-generated summary from verified user reviews

Pros
  • Users admire the ease of use of GoodData.AI, enabling even non-technical staff to build workflows effortlessly.
  • Users value the powerful data visualization features of GoodData.AI, enhancing decision-making and reporting efficiency.
  • Users appreciate the integrations with existing tools, enhancing their workflow and streamlining daily reporting tasks.
  • Users appreciate the intuitive interface of GoodData.AI, making data visualization and analysis accessible and efficient.
  • Users appreciate the customization options of GoodData.AI, enhancing their ability to create personalized and versatile dashboards.
Cons
  • Users find the learning curve steep with GoodData.AI, causing delays and complicating initial usage and implementation.
  • Users find the learning difficulty considerable, especially for beginners navigating complex functionalities and concepts.
  • Users have noted the missing features in GoodData.AI, such as version control and flexible collaboration options.
  • Users experience complexity during setup with GoodData.AI, affecting productivity and ease of use for new users.
  • Users find the limited customization options frustrating, especially when dealing with complex data models and graphics flexibility.

What Are Recent G2 Reviews of GoodData.AI?

KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

Average Rating: 4.5/5.0

Total Reviews: 126

How Do G2 Users Rate KNIME?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.2/10 (Category avg: 8.4/10)
  • Reports Interface: 8.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind KNIME?

  • Seller: KNIME
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Zurich, Switzerland
  • LinkedIn® Page: www.linkedin.com
    245 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 43% Large, 32% Medium

What Do G2 Reviewers Say About KNIME?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in KNIME invaluable, allowing non-technical individuals to efficiently build workflows.
  • Users love the coding ease of KNIME, making data analysis accessible to both beginners and non-technical users.
  • Users find KNIME to have a user-friendly learning curve, enabling quick access to data solutions without coding skills.
  • Users find KNIME to be a user-friendly learning experience that simplifies complex data analysis without coding.
  • Users appreciate the user-friendly data visualization tools of KNIME, making complex tasks accessible for all skill levels.
Cons
  • Users find the initial learning difficulty in KNIME challenging, especially for those new to data science concepts.
  • Users often face memory availability issues with KNIME, impacting performance and usability, especially with large files.
  • Users often face storage limitations, experiencing memory availability issues and slow performance with large files in KNIME.
  • Users feel that data management issues like file handling and reading from databases hinder their experience with KNIME.
  • Users note the lack of learning resources for KNIME, which hinders their ability to fully utilize the tool.

What Are Recent G2 Reviews of KNIME?

What Are G2 Users Discussing About KNIME?

Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

Average Rating: 4.6/5.0

Total Reviews: 1,376

How Do G2 Users Rate Databricks?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.4/10 (Category avg: 8.4/10)
  • Reports Interface: 9.1/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    14,336 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Large, 39% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the seamless integration of big data and AI in Databricks, enhancing collaboration and performance.
  • Users appreciate the ease of use of Databricks, valuing its seamless integration and fast performance.
  • Users appreciate the seamless integration of Databricks with big data processing and AI, enhancing collaboration and performance.
  • Users value the seamless collaboration features of Databricks, enhancing teamwork and data analysis across departments.
  • Users appreciate the seamless integration of big data processing and AI in Databricks, enhancing collaboration and efficiency.
Cons
  • Users find the learning curve steep with Databricks, requiring time and skills to adapt effectively.
  • Users note that the cost can scale quickly, making cost monitoring and control a significant challenge.
  • Users find the steep learning curve of Databricks challenging, requiring considerable effort to adapt for business use cases.
  • Users find the inadequate ingestion options for non-standard data sources a limitation in Databricks' functionality.
  • Users find Databricks' complexity challenging, especially for beginners and smaller teams trying to fine-tune the system.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Yellowfin BI

Yellowfin BI is a data analytics platform that helps users make faster decisions, trusted by over 29,000 organizations and 3 million end-users worldwide for over two decades. Built for both embedded and enterprise BI use cases, with strong data security and governance, it can be deployed on-premise, in the cloud, or in hybrid environments. The platform uses AI to proactively surface trends and outliers, answer questions asked in natural language, and transform data into interactive stories and live reports that decision-makers actually use. The latest release of Yellowfin BI can build verifiable reports from a single question, utilize the AI model of your choice to create actionable analytical stories, and allow users to ask contextual follow-up questions about any surfaced data point, bringing more confidence to critical business decisions.

Average Rating: 4.4/5.0

Total Reviews: 419

How Do G2 Users Rate Yellowfin BI?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Yellowfin BI?

  • Seller: Yellowfin
  • Year Founded: 2003
  • HQ Location: Austin, US
  • LinkedIn® Page: www.linkedin.com
    64 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: General Manager, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Small, 35% Medium

What Do G2 Reviewers Say About Yellowfin BI?

AI-generated summary from verified user reviews

Pros
  • Users value the user-friendly interface of Yellowfin BI, enabling seamless dashboard creation and data visualization.
  • Users value the user-friendly data visualization capabilities of Yellowfin BI, enabling easy and effective reporting.
  • Users value the quick and easy dashboard customization of Yellowfin BI, enabling rapid and effective data visualization.
  • Users appreciate the intuitive interface of Yellowfin BI, enabling quick setup and easy report creation without technical challenges.
  • Users value the easy and powerful report generation in Yellowfin BI, facilitating effortless data understanding and collaboration.
Cons
  • Users often experience a steep learning curve with Yellowfin BI, especially for advanced features and customization.
  • Users experience slow performance with large datasets in Yellowfin BI, impacting efficiency and user satisfaction.
  • Users report challenges with large data handling in Yellowfin BI, noting performance slowdowns and lengthy filter refresh times.
  • Users often face performance issues with Yellowfin BI, including slow loading times for large datasets and complex dashboards.
  • Users find limited customization in Yellowfin BI, affecting advanced analytics and the ability to create tailored visualizations.

What Are Recent G2 Reviews of Yellowfin BI?

What Are G2 Users Discussing About Yellowfin BI?

Sigma

Sigma is the AI runtime layer for analytics, agents, and apps built on live warehouse data. It is a cloud analytics and business intelligence platform that helps business and technical teams explore live data, build reports and applications, and deploy AI agents directly on a cloud data warehouse, using a familiar spreadsheet interface alongside SQL, Python, and AI. - Analytics: Use Sigma for classic business intelligence workloads like pixel-perfect reporting, embedded analytics, and self-service access to data in an Excel-like interface. Build with AI, spreadsheet functions, SQL, or Python. - Agents: Deploy AI agents that act on live data and run multi-step workflows. Build them with natural language and your choice of enterprise LLM or warehouse AI. - Apps: Build AI Apps for operational work like planning and forecasting, scenario modeling, and approval routing, with writeback and governance automatically configured. Every artifact in Sigma inherits the security, permissions, and row-level access already set in the cloud data warehouse. Because governance is enforced at the source, anything a team builds is IT-approved from the start. Sigma solves a persistent tradeoff in enterprise data work. Business teams typically wait on a central data team to build reports and tools, while ad hoc AI and app-building tools produce work that sits outside IT's control. Sigma removes that tradeoff by keeping analysis, reporting, applications, and agents on live warehouse data under one set of permissions, so non-technical users build what they need while IT keeps a single, auditable system of control. Founded in 2014, Sigma is a privately held company headquartered in San Francisco, with offices in New York, London, and Sydney. More than 2,000 companies trust Sigma, including DoorDash, Blackstone, JPMorgan Chase, and Figma. Sigma is the business intelligence partner of the year for both Snowflake (2023-2026) and Databricks (2025-2026).

Average Rating: 4.5/5.0

Total Reviews: 615

How Do G2 Users Rate Sigma?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.5/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Sigma?

  • Seller: Sigma Computing
  • Company Website:
  • Year Founded: 2014
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    1,417 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Scientist
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 55% Medium, 25% Large

What Do G2 Reviewers Say About Sigma?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Sigma, finding its simplicity and quick setup highly beneficial.
  • Users love the intuitive spreadsheet-style interface of Sigma, making data exploration and integration effortless and fast.
  • Users commend Sigma's excellent customer support, noting quick responses and knowledgeable assistance whenever needed.
  • Users appreciate the powerful and accessible data visualization capabilities of Sigma, driving informed decision-making across organizations.
  • Users appreciate the ease of handling large datasets with Sigma, enhancing efficiency and allowing focus on insights.
Cons
  • Users often face slow loading times when working with complex datasets, impacting their productivity and experience.
  • Users express frustration over the slow performance of Sigma, especially during moderately complex tasks and formulas.
  • Users note the limited customization in Sigma, making it challenging to achieve specific design preferences.
  • Users find the learning curve steep, especially with large datasets and wish for more guided tutorials.
  • Users note that Sigma lacks several essential features, like exporting data and standard visualizations, impacting usability.

What Are Recent G2 Reviews of Sigma?

What Are G2 Users Discussing About Sigma?

Hex

Hex is the world’s favorite AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now > https://app.hex.tech/signup?source=g2 Get a demo > https://hex.tech/request-a-demo/?source=g2

Average Rating: 4.5/5.0

Total Reviews: 431

How Do G2 Users Rate Hex?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.7/10 (Category avg: 8.4/10)
  • Reports Interface: 8.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Hex?

  • Seller: Hex Tech
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    280 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 53% Medium, 22% Small

What Do G2 Reviewers Say About Hex?

AI-generated summary from verified user reviews

Pros
  • Users commend Hex for its ease of use, enabling effortless data analysis without needing extensive technical skills.
  • Users appreciate the ease of use with SQL queries in Hex, enhancing efficiency and data exploration for all team members.
  • Users appreciate the ease of use and efficient data manipulation in Hex, enhancing their data management experience.
  • Users value the efficient SQL querying in Hex, enhancing team collaboration and simplifying data exploration with AI features.
  • Users praise Hex for its effortless data analysis, enabling self-service insights with powerful AI tools and user-friendly features.
Cons
  • Users find Hex's limited features frustrating, noting a lack of options and poor usability affecting overall experience.
  • Users find Hex lacking in essential features like multiple modes and basic coding shortcuts, affecting usability.
  • Users find Hex lacking features, particularly in missing shortcuts and having confusing modes and permissions.
  • Users note the limited visualization options in Hex, hindering their ability to create effective dashboards and graphics.
  • Users express concerns about data management issues, including inaccuracies and organization challenges in Hex's workbooks.

What Are Recent G2 Reviews of Hex?

What Are G2 Users Discussing About Hex?

Amazon Quick

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

Average Rating: 4.3/5.0

Total Reviews: 681

How Do G2 Users Rate Amazon Quick?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.4/10)
  • Reports Interface: 8.2/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Amazon Quick?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN
  • Total Revenue (USD mm): $177,866

Who Uses This Product?

  • Who Uses This: Data Analyst, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 40% Small, 36% Medium

What Do G2 Reviewers Say About Amazon Quick?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integration of Amazon QuickSight with AWS services, enhancing their dashboard creation and management experience.
  • Users find Amazon QuickSight to be easy to use and implement, enhancing their data analysis and visualization experience.
  • Users value the easy integrations of Amazon Quick, allowing seamless interaction with AWS services for effective dashboard creation.
  • Users appreciate the data visualization capabilities of Amazon QuickSight, enhancing clarity and insight in analytics presentations.
  • Users value the easy integration and intuitive design of Amazon QuickSight for building interactive, scalable dashboards.
Cons
  • Users find the limited customization options in Amazon QuickSight frustrating, impacting ease of use and flexibility.
  • Users report a steep learning curve with Amazon QuickSight that hinders initial setup and overall usability.
  • Users often find limited visualization options in Amazon Quick, hindering the ability to customize and analyze data effectively.
  • Users find missing features in QuickSight, particularly in customization and advanced analytics compared to competitors.
  • Users feel the poor interface design hampers usability and needs to be more intuitive and user-friendly.

What Are Recent G2 Reviews of Amazon Quick?

What Are G2 Users Discussing About Amazon Quick?

IBM Cognos Analytics

IBM Cognos Analytics is a business intelligence and analytics solution that uses agentic AI to help teams transform trusted data into actionable insights, build governed analytical applications, and make better decisions. Teams can explore data, monitor KPIs, analyze performance, forecast trends, and share insights across the business. The solution is built for business leaders, analysts, report authors, IT teams, and data governance teams that need governed reporting, self-service analytics, data modeling, and flexible deployment options. Common use cases include enterprise reporting, operational reporting, financial reporting, dashboarding, performance management, forecasting, and governed self-service analytics. It supports both centralized BI teams and distributed users who need consistent access to trusted analytics. Key capabilities: 1. Create governed reports and dashboards: Build, schedule, distribute, and manage reports, dashboards, and visualizations for teams, executives, and stakeholders. Support routine reporting, business reviews, and purpose-built analytical applications with consistent information. 2. Explore data with control: Use self-service analytics, certified data models, governed metrics, access controls, and auditability to keep reporting consistent across teams and departments. 3. Analyze and forecast faster: Use natural-language assistance, automated insights, and forecasting to help users understand data faster in supported versions and deployments. 4. Put Reporting Agents to work: Use agentic AI capabilities in supported versions and deployments to find reports, summarize results, share insights, and create or refine reports using natural language. 5. Deploy where the business needs it: Run Cognos Analytics in on-premises, IBM-hosted, hybrid, or certified container environments to align with infrastructure, security, and governance requirements. Cognos Analytics helps organizations reduce repetitive reporting work, improve consistency across metrics and dashboards, and make governed data analytics easier to access across the business.

Average Rating: 4.1/5.0

Total Reviews: 479

How Do G2 Users Rate IBM Cognos Analytics?

  • Has the product been a good partner in doing business?: 7.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind IBM Cognos Analytics?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Software Engineer, Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 56% Large, 27% Medium

What Do G2 Reviewers Say About IBM Cognos Analytics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM Cognos Analytics, enjoying intuitive navigation and effortless data visualization.
  • Users value the easy report generation in IBM Cognos Analytics, enabling consistent reporting from multiple data sources effortlessly.
  • Users appreciate the powerful AI-driven insights and enterprise-grade reporting capabilities of IBM Cognos Analytics.
  • Users love the drag-and-drop visualization feature in IBM Cognos Analytics for quick and easy data insights.
  • Users appreciate the user-friendly interface of IBM Cognos Analytics, enhancing their ability to analyze and visualize data effortlessly.
Cons
  • Users note a steep learning curve for mastering advanced features, impacting the initial onboarding experience.
  • Users find it difficult to learn and navigate IBM Cognos Analytics, especially for retrieving historical data and building reports.
  • Users often experience slow performance when generating complex reports, requiring frequent resets and causing frustration.
  • Users find the complexity of report building in IBM Cognos Analytics challenging without extensive training.
  • Users often struggle with the complex usage of IBM Cognos Analytics, particularly during onboarding and learning advanced features.

What Are Recent G2 Reviews of IBM Cognos Analytics?

What Are G2 Users Discussing About IBM Cognos Analytics?

ThoughtSpot

ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot.

Average Rating: 4.4/5.0

Total Reviews: 342

How Do G2 Users Rate ThoughtSpot?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind ThoughtSpot?

  • Seller: ThoughtSpot
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    1,781 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 43% Large

What Do G2 Reviewers Say About ThoughtSpot?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of ThoughtSpot, transforming complex data access into a straightforward experience.
  • Users love the easy access to relevant data with ThoughtSpot, simplifying data retrieval and enhancing decision-making.
  • Users value the AI natural language queries of ThoughtSpot, which simplify data access and enhance insights for all users.
  • Users value the intuitive interface of ThoughtSpot, enabling effortless data exploration and empowering non-technical employees.
  • Users value the data visualization capabilities of ThoughtSpot, appreciating its ability to simplify complex business insights effectively.
Cons
  • Users find the learning curve steep, requiring extensive training and practice to achieve proficiency in ThoughtSpot.
  • Users express concerns about missing features in ThoughtSpot, particularly regarding AI capabilities and formula recognition.
  • Users find the learning difficulty of ThoughtSpot challenging, citing non-intuitive features and a confusing setup process.
  • Users face substantial complexity in ThoughtSpot, struggling with intricate data modeling and non-intuitive features that hinder usability.
  • Users find ThoughtSpot has limited customization, which can hinder personalized search visualization and overall usage experience.

What Are Recent G2 Reviews of ThoughtSpot?

What Are G2 Users Discussing About ThoughtSpot?

Tian Lin
TL
Researched and written by Tian Lin
Updated October 9, 2026