# IBM StreamSets Reviews **Vendor:** IBM **Category:** [ETL Tools](https://www.g2.com/categories/etl-tools) **Average Rating:** 4.0/5.0 **Total Reviews:** 117 ## About IBM StreamSets IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration. ## IBM StreamSets Pros & Cons **What users like:** - Users love the **ease of use** in IBM StreamSets, simplifying data pipeline creation with its intuitive interface and features. (30 reviews) - Users appreciate the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing pipeline visualization and debugging ease. (16 reviews) - Users love the **easy creation and monitoring of data pipelines** that StreamSets offers across various environments. (15 reviews) - Users appreciate the **simplified data integration workflows** with IBM StreamSets, benefiting from its intuitive design and automation features. (15 reviews) - Users appreciate the **wide range of integrations** in IBM StreamSets, enhancing real-time data handling across various systems. (14 reviews) - Implementation Ease (12 reviews) - Data Integration (11 reviews) - Users appreciate the **easy integrations** with various sources, enhancing the smooth creation and management of data pipelines. (11 reviews) - Streaming (10 reviews) - Connectors (9 reviews) **What users dislike:** - Users face a **steep learning curve** with IBM StreamSets, requiring deep technical knowledge for advanced features. (13 reviews) - Users find the **cost prohibitively high** for smaller teams, raising concerns about affordability and value. (10 reviews) - Users note that **learning difficulty** exists with advanced features, requiring more time and effort to become proficient. (8 reviews) - Users experience **slow performance** when processing large data volumes or complex pipelines, affecting efficiency and usability. (8 reviews) - Users face a **steep learning curve** with IBM StreamSets, requiring deep technical knowledge for advanced features. (8 reviews) - Users find the **poor documentation** of IBM StreamSets frustrating, as it lacks detail and can be confusing. (7 reviews) - Difficult Learning (6 reviews) - Users experience **poor customer support** , noting slow response times and unclear documentation that complicate problem resolution. (6 reviews) - Resource Intensive Learning (6 reviews) - Complexity (5 reviews) ## IBM StreamSets Reviews ### 1. Simplifies Real-Time Data Pipelines with Mixed Customization **Rating:** 4.0/5.0 stars **Reviewed by:** Sravya A. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 21, 2026 **What do you like best about IBM StreamSets?** I like that IBM StreamSets excels at simplifying data integration workflows. Its visual pipeline design makes it intuitive, allowing almost anyone to build, deploy, and test. I appreciate the wide range of connectors it supports for real-time data and batch processing. It's an all-in-one-place solution for ETL transformations and various kinds of data handling. I also find the initial setup to be moderately easy, with straightforward installation and basic configuration. The UI and pipeline creation are intuitive. Finally, I would recommend IBM StreamSets for its reliability in real-time data ingestion and streaming, strong schema drift handling, excellent monitoring, and low-code pipeline development. **What do you dislike about IBM StreamSets?** UI performance and usability, limited flexibility compared to pure code-based tools, connector limitations and customization, cost and licensing complexity. **What problems is IBM StreamSets solving and how is that benefiting you?** IBM StreamSets resolves complex data ingestion, real-time data availability, schema drift, operational visibility, and enhances pipeline development and hybrid integration. ### 2. Powerful Data Integration With IBM Stream sets. **Rating:** 5.0/5.0 stars **Reviewed by:** Abhishek D. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 08, 2025 **What do you like best about IBM StreamSets?** The thing that I most like about stream sets is that it makes building real time data integration and pipeline building is made very smooth. The drag and drop interface is easy to use. Also it connects to various data sources and destinations. It has cool built in monitoring and error handling mechanisms to help keep out an eye on the health of your pipeline. I also enjoy how scalable it is. I mean you can use it on a small project to something enterprise level project. **What do you dislike about IBM StreamSets?** it can be tricky to get started directly with streamsets especially if you are at beginner level. Like if you don't have any experience prior about data engineering. You need deeper level of understanding to use some advanced features but I think the documentation is helpful sometimes but not always. Also the pricing seems steep for small teams. **What problems is IBM StreamSets solving and how is that benefiting you?** Streamsets platform is designed to simplify ETL and big data integration by enabling organizations to quickly and comprehensively deploy, operate and use data-in-motion technologies, and eliminate the need for custom coding. It’s how it manages all of the complex data transformation, real time ingestion, and error handling that you’d typically need to handle manually. It makes it so much faster and easier to build and manage ETL pipelines. And I can analyze data instead of repairing broken data flows. The automation, scalability, and monitoring capabilities can save time and be more efficient when working with Massive data sets. ### 3. Excellent Data Integration and Productivity, But Pricey and Requires Training **Rating:** 4.5/5.0 stars **Reviewed by:** Konjengbam M. | BDR, Financial Services, Mid-Market (51-1000 emp.) **Reviewed Date:** October 26, 2025 **What do you like best about IBM StreamSets?** I love this platform for its data integration capabilities. It reduces efforts so much and increases productivity. Its faster development is really useful for users. The availability of ready made connectors makes work really easier and faster. This platform makes the team co ordinate as well as work faster with better efficiency and effectiveness. **What do you dislike about IBM StreamSets?** I love most parts of this platform but i just wish that price was a little bit low. To be an expert in using this platform, a person will need training and sufficient time to learn before reaching the peak potential. **What problems is IBM StreamSets solving and how is that benefiting you?** It improves productivity and efficiency with its organized tools and dashboards to monitor the pipelines effectively. ### 4. IBM StreamSets: Solid Foundations, But Falling Behind Modern Data Tooling **Rating:** 3.5/5.0 stars **Reviewed by:** Abhishek K. | Technical Lead, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** January 20, 2022 **What do you like best about IBM StreamSets?** StreamSets continues to offer an intuitive drag-and-drop canvas that simplifies pipeline creation. The seamless integration with key-vaults for secure secret management and the ease of scheduling pipelines remain strong features. It's beginner-friendly and gets data flowing quickly, especially for teams with limited coding background. **What do you dislike about IBM StreamSets?** While StreamSets was once a frontrunner in visual pipeline design, modern cloud-native tools have leapfrogged it. Platforms like Azure Data Factory, Amazon EMR notebooks, and Apache Airflow now offer more flexibility, deeper integrations, and better support for orchestration, monitoring, and cost control. Adding richer developer features, tighter CI/CD capabilities, and improved scalability options would help StreamSets stay relevant in today’s fast-evolving data engineering landscape. **Recommendations to others considering IBM StreamSets:** A product to consider for fast-paced Data Engineering pipeline development. **What problems is IBM StreamSets solving and how is that benefiting you?** Being part of one of the Health Care Service provider accounts, we as a Data Engineering Team utilize Streamsets to design Data Pipelines to hydrate ADLS/GCS. This Datasets further helps Data scientists and analysts to generate patterns/insights for the healthcare benefits of customers. ### 5. IBM StreamSets review: Powers and pitfalls of the streaming beast. **Rating:** 3.5/5.0 stars **Reviewed by:** Ayon S. | Software Engineer(JAVA BACKEND), Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** September 11, 2025 **What do you like best about IBM StreamSets?** It excels at simplifying complex data integration workflows. It's visual pipeline design makes it's intutive so that anyone can build ,deploy and test in most of the cases. It supports wide range of connectors for real time data and batch processing . Most effective feature of it is that it has built in data observation ability and lineage tracking. This feature gives confidence to the team for their data pipeline reliability and compliance reporting . This also handels high loads and made for high scalabilty & high throughput. **What do you dislike about IBM StreamSets?** It has steep learning curve, especially when u have use some advance features deep technical knowledge of data engineering and related fields is required. UI feels sometimes little sluggish and cluttered when operator has to deal with complex pipelines. It's bit costlier for smaller teams or startups, if they want to purchase the enterprise-level licensing model . **What problems is IBM StreamSets solving and how is that benefiting you?** Data comes form multiple sources and clients ,and all of them are of different structures and formats. Also some of them are real time .Also sometimes datastructures and schemas changes unexpectedly and previous ETL pipeline was failing to handel that .This scenarios were breaking the pipelines. IBM StreamSets here comes as an one man show ,it automatically detects schemas and data structural changes and handels it accordingly . That reduces pipeline faliures.Along with that it also supports both real time streamings and batch processing pipe lines. As becuse it needs less maintainance and less human interventions ,it helps to make the raw to processable in less time. ### 6. IBM StreamSets Makes Building and Maintaining Data Pipelines Easy **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** March 10, 2026 **What do you like best about IBM StreamSets?** IBM StreamSets is powerful because it makes building and maintaining data pipelines easier, especially in environments where data structures change frequently. **What do you dislike about IBM StreamSets?** The main complaints are usually cost, debugging complexity, UI performance, and the need for scripting for complex transformations. **What problems is IBM StreamSets solving and how is that benefiting you?** IBM StreamSets helps me deal with unreliable, constantly changing data pipelines by automatically handling schema drift and data movement. The result is more stable, low-maintenance pipelines and faster data integration across systems, without the ongoing hassle of frequent fixes. ### 7. Functional Data Pipeline Creation and Productive Data Quality Management System. **Rating:** 5.0/5.0 stars **Reviewed by:** John W. | Information Technology Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 09, 2025 **What do you like best about IBM StreamSets?** Effective IBM platform for easy creation and monitoring of data pipelines and its integration across several Hybrid and even multi cloud environment. The ability on data enrichment and data quality management and process easy Automation this product is excellent. **What do you dislike about IBM StreamSets?** Powerful IBM solution and easy to configure all its functions and on starting the implementation process is very easy with no errors found. **What problems is IBM StreamSets solving and how is that benefiting you?** Great solution on data pipelines monitoring, data quality control, integration across multiple data sources and helpful Automation platform. ### 8. Simplifying Complex Data Pipelines **Rating:** 5.0/5.0 stars **Reviewed by:** Harshitha R. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 08, 2025 **What do you like best about IBM StreamSets?** I like how StreamSets makes building and managing data pipelines very intuitive with its drag-and-drop interface. It supports real-time streaming as well as batch processing, and the built-in monitoring/alerts give great visibility into pipeline health and data quality. **What do you dislike about IBM StreamSets?** Some advanced features have a steep learning curve, and the platform can feel resource-intensive at times. Documentation could be more detailed, and faster response from support would make the experience even better. **What problems is IBM StreamSets solving and how is that benefiting you?** IBM StreamSets helps us handle complex data integration across multiple sources and destinations in real time. It solves the challenge of building scalable, automated pipelines without heavy coding, while ensuring data quality and observability. This has reduced manual effort, improved reliability, and allowed faster decision-making based on up-to-date data. ### 9. StreamSets Data Collector & Transformer Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** September 08, 2022 **What do you like best about IBM StreamSets?** With updated support and low-code implementation process, makes it pretty easy to use. As it's support both batch and streaming pipeline, it becomes an easy-go tool for data platform teams. **What do you dislike about IBM StreamSets?** Some learning opportunities is the key area that StreamSets should focus to on board new engineers. Also, cost is a concern. No direct support for CICD. **What problems is IBM StreamSets solving and how is that benefiting you?** Below are the problems I have solved. 1. Data Collector: Collected data from on-premise sources to the cloud. 2. Applied transformations to prepare data for analytics. ### 10. A Powerful Platform for ETL and Streaming Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Vivek R. | Data Engineer, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** November 15, 2023 **What do you like best about IBM StreamSets?** The platform’s growing support for automation, reusability, and real-time processing makes it not just an ETL tool, but a full-fledged DataOps platform. **What do you dislike about IBM StreamSets?** IBM Stream Sets is a powerful platform, but it can improve in a few key areas. Handling highly complex or customized integrations can be challenging, and connector support for some newer cloud services could be expanded. The learning curve for Control Hub and CI/CD automation is a bit steep for new users, and error messages during pipeline failures could be more detailed to help with faster troubleshooting. **What problems is IBM StreamSets solving and how is that benefiting you?** Streamsets addressed the challanges associated with managing and integrating diverse data sources in real time. It helps me easy data integration, accurate real time processing and in maintaing data quality through ETL process. ### 11. IBM Steamset review by me **Rating:** 4.5/5.0 stars **Reviewed by:** Dharmendra M. | embedded saoftware engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 15, 2025 **What do you like best about IBM StreamSets?** user-friendly, visual, low-code/no-code interface that simplifies data pipeline creation with a drag-and-drop approach **What do you dislike about IBM StreamSets?** i couldnt think any reason to dislike it **What problems is IBM StreamSets solving and how is that benefiting you?** IBM StreamSets helps solve the problem of moving and handling large amounts of data quickly and easily, without lots of manual work or complicated coding—making it simple to connect different systems and get real-time information when it’s needed most. This means data is always fresh and useful, which leads to better decisions, smoother operations, and less stress about outdated or messy data ### 12. I liked the low code and data integration that works with automatic schema handling. **Rating:** 4.0/5.0 stars **Reviewed by:** Sheel S. | Data Scientist II, Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2025 **What do you like best about IBM StreamSets?** 1. Works well in real-time and batches 2. Low code visual UI 3. Easier deployment 4. Probably work well with IBM ecosystem. But not tried yet. **What do you dislike about IBM StreamSets?** 1. Enterprise grade costing would be tricky. 2. Though simple features are easier to learn but advanced ones are complex and time taking whole learning. 3. Overall limited community of IBM ecosystem I'm compare to competitors **What problems is IBM StreamSets solving and how is that benefiting you?** Easier and seamless integration ### 13. Best ETL tool to manage data **Rating:** 4.5/5.0 stars **Reviewed by:** yogeshwer V. | Senior Data Analyst-PowerSchool, Enterprise (> 1000 emp.) **Reviewed Date:** March 12, 2024 **What do you like best about IBM StreamSets?** I really like how IBM StreamSets now works with watsonx—it makes building and managing data pipelines feel a lot smoother. The smart automation, clear data tracking, and built-in quality checks save time and reduce guesswork. **What do you dislike about IBM StreamSets?** One thing IBM StreamSets could improve is making the interface a bit more beginner-friendly. Also, faster and clearer error messages during pipeline issues would really help save time and reduce frustration. **What problems is IBM StreamSets solving and how is that benefiting you?** It is helping me in extraction transformation and loading of large data sets And it saves a lot of time as most of process is automated. ### 14. Streamlining Data Pipelines with ease **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2025 **What do you like best about IBM StreamSets?** I really like how user friendly IBM StreamSets is, especially the drag and drop interface for designing data pipelines. It makes the process much easier without needing to write complex code. The platform supports both real-time and batch processing, and it has a wide range of connectors, which helped me integrate different data sources without much hassle. I also appreciated the built-in monitoring tools that helped me keep an eye on data flows and troubleshoot issues quickly. **What do you dislike about IBM StreamSets?** One downside I experienced was performance lag when handling large volumes of data it wasn’t always as fast as I needed. The error logs were sometimes difficult to interpret, especially for more complex issues. Also, while basic tasks were easy to manage, getting into advanced configurations took more time than I expected, and the documentation didn’t always provide clear guidance. Support response times could also be slow when I needed urgent help. **What problems is IBM StreamSets solving and how is that benefiting you?** IBM StreamSets is solving the challenge of building and managing complex ETL workflows in a fast-changing data environment. It helps me extract data from various sources, transform it on the fly, and load it into target systems all while handling schema changes and data drift automatically. This has been a huge benefit for me because I no longer have to manually adjust pipelines when source formats change. It also supports real-time stream analytics, so I can process and analyze data as it flows in, which improves decision making speed and keeps my data infrastructure responsive and up to date. ### 15. Efficient Data Pipeline Tool with Some Limitations **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 25, 2025 **What do you like best about IBM StreamSets?** The best thing is how simple it is to use. You don’t need to write much code and the drag and drop makes things fast. It connects to lots of sources which is helpful. Also the monitoring tools are good and helps when things go wrong. **What do you dislike about IBM StreamSets?** It can get slow when dealing with big amount of data or when you add many steps. The docs are sometimes confusing or missing stuff. Support takes time to respond sometimes and the price is a bit much for smaller teams. **What problems is IBM StreamSets solving and how is that benefiting you?** We needed a way to move and process data between different systems without building everything from scratch. StreamSets made it easier to connect data sources and automate the flows. It saves us a lot of time and helps catch issues early with built-in alerts, so we don’t have to monitor everything manually all the time. It also helps to scale things easier when data volume grows. ### 16. My feedback on StreamSets **Rating:** 4.5/5.0 stars **Reviewed by:** Rohit S. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 26, 2023 **What do you like best about IBM StreamSets?** I like the updated ui which helps in visualizing the pipeline and debugging more easily. **What do you dislike about IBM StreamSets?** IBM streamsets serves much of my purpose, nothing as of now. **What problems is IBM StreamSets solving and how is that benefiting you?** It helps in data drift handling and real-time data streaming. **Official Response from Natasha Collins:** > Hi Rohit - thank you for taking the time to share your thoughts on StreamSets. Your detailed feedback is invaluable, and we appreciate your insights into both the strengths and considerations of our platform. We're glad to hear that you find the graphical interface (GI) user-friendly for designing and implementing data pipelines. It's fantastic you are an active member of the Community and it's been a source of reliable support for you. We believe a vibrant and engaged community is crucial for the success of our users, and we're thrilled to know it's proving beneficial. We're also pleased to hear that you find StreamSets to be valuable and well-suited for real-time data streaming scenarios, data drift handling and monitoring tools. As we strive for continuous improvement, your feedback helps us to shape future developments and our product team is continuously working to enhance performance and provide solutions that cater to a wide range of integration needs. If you ever have more insights to share or encounter any challenges, please don't hesitate to reach out to our support team at https://streamsets.com/about-us/contact-us. We're here to assist you. ### 17. it was very eacy to use **Rating:** 3.5/5.0 stars **Reviewed by:** prince k. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** September 10, 2025 **What do you like best about IBM StreamSets?** streamsets helped me to process real-time data efficiently. so, the efficiency impressed me a lot. **What do you dislike about IBM StreamSets?** I haven't experienced any major issues yet. Also, i am a fresher in this platform, so I haven't experienced the maximum potential of this StreamSets. **What problems is IBM StreamSets solving and how is that benefiting you?** Real-time processing. ### 18. The overall experience is good but still it need some improvements. **Rating:** 3.0/5.0 stars **Reviewed by:** Rohan B. | Sr Data Operations Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2025 **What do you like best about IBM StreamSets?** Costumer support and their regular follow up system on users. **What do you dislike about IBM StreamSets?** The promotion emails and updates for the category which are not belongs to. **What problems is IBM StreamSets solving and how is that benefiting you?** I personally think that Streamsets can add more shortcuts keys on thw website. ### 19. Data integration platform **Rating:** 3.5/5.0 stars **Reviewed by:** Gajendra C. | Manager, Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2024 **What do you like best about IBM StreamSets?** Projects for workspace management, Full autoscaling on Kubernetes, Easier installation and uninstallation, New Data Collector features, Python SDK improvements and User-friendly drag-and-drop interface **What do you dislike about IBM StreamSets?** Better support for Data Collector Edge and Docker image transition also in terms of Project feature access and Documentation clarity **What problems is IBM StreamSets solving and how is that benefiting you?** It gives us a operational visibility and control over all pipelines across hybrid and multi cloud developments by ensuring smooth operation ### 20. It is good but I Would like to see some really cool ,innovative modifications or features **Rating:** 4.0/5.0 stars **Reviewed by:** Ananya M. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 10, 2025 **What do you like best about IBM StreamSets?** It has cool UI and interface and user friendly **What do you dislike about IBM StreamSets?** Wanted to see atleast more modifications and more stand out features **What problems is IBM StreamSets solving and how is that benefiting you?** It’s helping me solve day to day activities which needed manual attention ### 21. IBM StreamSets **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammad K. | Test Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2025 **What do you like best about IBM StreamSets?** Service that has been provided by IBM are very reliable **What do you dislike about IBM StreamSets?** The ui quality is not satisfactory thing in the whole process **What problems is IBM StreamSets solving and how is that benefiting you?** It helped me solve the migration scenarios to the best ### 22. Powerful and Flexible ETL solution with IBM StreamSets **Rating:** 0.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2025 **What do you like best about IBM StreamSets?** I like IBM StreamSets for its easy-to-use visual interface, real-time data handling, and strong integration with various cloud and on-premise systems. **What do you dislike about IBM StreamSets?** While IBM StreamSets is powerful, it can sometimes be complex to troubleshoot issues in large pipelines, and performance tuning may require additional effort for very high-volume data loads. **What problems is IBM StreamSets solving and how is that benefiting you?** IBM StreamSets solves the challenge of building, managing, and scaling complex data pipelines by providing real-time data integration and smart handling of data changes. It benefits me by simplifying pipeline development, reducing maintenance efforts, and enabling faster, more reliable data delivery across systems. ### 23. Workflow simplification at peak **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 09, 2025 **What do you like best about IBM StreamSets?** Easy to setup and use compared to kafka and stuff like this helps make the workflow quicker as there's less maintenance required to run this. The uptime gaurantee's also help alot in peaceful sleep. **What do you dislike about IBM StreamSets?** Nothing specific i have encountered till now as everything currently works as expected **What problems is IBM StreamSets solving and how is that benefiting you?** It helps manage streaming pipelines easily ### 24. An easy and guided approach for creating data pipelines **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** November 25, 2023 **What do you like best about IBM StreamSets?** Use of openshift data foundation. StreamSets can now be installed and uninstalled using the standard IBM Software Hub service methods, streamlining deployment and management compared to previous separate processes. **What do you dislike about IBM StreamSets?** Improve learning curve , improvement in UI. **What problems is IBM StreamSets solving and how is that benefiting you?** Helped teams to deliver promptly on their migration projects and take some load off **Official Response from Natasha Collins:** > Thank you for sharing your positive feedback on StreamSets! We're delighted to hear that you find our platform quite satisfactory, especially in its seamless connectivity with Hadoop, Teradata, and its facilitation of cloud migration journeys. It's great to know that data migration, job scheduling, and live data streaming are standout features for you. We are happy to hear you find our platform to be user-friendly and easy to implement across various teams for on-premises data migration to cloud platforms like Azure, Databricks, and Snowflake. Our goal is to make sure you're successful in your migration projects. Regarding the debugging challenges, our team is actively working on enhancing error-handling mechanisms to provide a smoother experience. Thank you for being a StreamSets customer! If you have any further insights or suggestions, we're eager to hear them to continually improve our platform. ### 25. streaming data pipelines through GUI is great **Rating:** 4.0/5.0 stars **Reviewed by:** Vasstav K. | AI Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2025 **What do you like best about IBM StreamSets?** I like how it makes easy in the use-cases of AI, where you can do the continuous training process. **What do you dislike about IBM StreamSets?** I don't fee that there are any such. Have to use in-order to know. **What problems is IBM StreamSets solving and how is that benefiting you?** Training AI models. ### 26. Overall good experience, I like the ease of using it. **Rating:** 3.5/5.0 stars **Reviewed by:** Abhigyan S. | Software Engineer, Retail, Small-Business (50 or fewer emp.) **Reviewed Date:** May 09, 2025 **What do you like best about IBM StreamSets?** I like IBM StreamSets ease of use and Customer Support Team. **What do you dislike about IBM StreamSets?** Almost everything is good. Number of interactive features can be improved. **What problems is IBM StreamSets solving and how is that benefiting you?** Currently using it for Data Extraction. ### 27. Good Product **Rating:** 3.5/5.0 stars **Reviewed by:** Riya K. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2025 **What do you like best about IBM StreamSets?** I like the ease of use of this tool. Customer support is ok. **What do you dislike about IBM StreamSets?** Number of features can be improved upon. **What problems is IBM StreamSets solving and how is that benefiting you?** For ETL tools, it is easy to use and implement ### 28. Capable streaming data processing tool **Rating:** 4.0/5.0 stars **Reviewed by:** Mohammad I. | Internal Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** September 06, 2023 **What do you like best about IBM StreamSets?** Listed are the things which I liked most about Streamset - a. Presence of inbuilt connectors (in-preise version) which can useful in using it for almost every source/target systems. b. The is GUI is user friendly and it has certainly helped my platform team to create the streaming data pipeline faster )Previously we were using pyspark) c. Alongwith tool, the Streamset support team is also excellent. d. The availability of streamsets academy through which we an get our resources trained easily. **What do you dislike about IBM StreamSets?** There are lesser number of connectors available in the cloud version of Streamsets. The inability to supports "exactly once" delivery of data creates limitation in few of the use cases.Although we have managed this through workaround but having ths ability in Streamsets will certainly help. **What problems is IBM StreamSets solving and how is that benefiting you?** 1.It has allowed us to perform CDC on the mainframe data and put the data to KAFKA topics which can be used by multiple platforms as per their requirement. 2. It has helped to create event based real time pipeline swhich is being used to generate marketing prompts to the customers. 3.The development time (as compared to pyspark) has been reduced as it is low code GUI tool 4. It has also helped in reducing our dependency on other ELT tools e.g. Informatica DEI. ### 29. Simple to use pipeline based integration tool **Rating:** 3.0/5.0 stars **Reviewed by:** Gaurav N. | Enterprise (> 1000 emp.) **Reviewed Date:** March 13, 2024 **What do you like best about IBM StreamSets?** UI of the tool is very easy to understand even for a beginner. It has the graphical pipeline feature to convert source data and add some processing steps on top it and then send it to target system. It seems simple to implement from a docker image in your environment. Opening the tool in your chrome or any web browser is less heavy in terms of RAM usage and logging in and log out times are quick. **What do you dislike about IBM StreamSets?** It still seems a bit under matured in terms of support for more 3rd party vendors like SAP, Salesforce, etc. **What problems is IBM StreamSets solving and how is that benefiting you?** Currently, most of the clients different sets of systems like Azure, SAP, Salesforce etc. for different streams in their organisations. For example, an organisation may have SAP for their ERP application but for payments and billing they may be having 3rd party system which communicates via SFTP or APIs, in such cases when data is needed to flow from these 3rd party systems to organisation's own systems, Streamsets like middleware tools are needed. It benefits a lot when Streamsets helps in connecting different systems efficiently. ### 30. Best UI for Pipelines **Rating:** 5.0/5.0 stars **Reviewed by:** Neeraj G. | Data Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** February 22, 2024 **What do you like best about IBM StreamSets?** I love the StreamSets UI and its interface. The components in StreamSets are very useful and very easy to use. You can esily implement a pipeline using the desired origin from the lits of various origins. You can use it on daily basis for your pipeline review. The customer support from the StreamSets side is very appreciated. **What do you dislike about IBM StreamSets?** There is nothing to say bad about it. Just sometimes the preview field lacks in previeing the high intensity data. **What problems is IBM StreamSets solving and how is that benefiting you?** Streamsets is very useful for the big pipelines and the ease of use of the origins, processors and the executors are well managed. It helps me to reduce my time to building complex pipelines very easily. ### 31. Review on StreamSets as Dev **Rating:** 4.5/5.0 stars **Reviewed by:** Shilpi J. | Senior Software Development Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** November 22, 2023 **What do you like best about IBM StreamSets?** I used StreamSets in one of my ETL project where we were working on Apache Spark for handling bulk data. The best thing I feel is it provides an easy way to configure pipelines so that we were able to process tasks easily using the same. Also apart from this it also helped in monitoring the same. Even for beginners it is very easy to learn. **What do you dislike about IBM StreamSets?** While doing performance testing it took a lot of time for around 8-10 million records. That could be improved further. Also I think there is a scope to improve the details of errors in a more detailed way. **What problems is IBM StreamSets solving and how is that benefiting you?** It helps to implement pipelines and do the monitoring in a very efficient and easy way. ### 32. Streamsets revolution in data integration **Rating:** 4.0/5.0 stars **Reviewed by:** Siva Ganesh V. | Associate Trainee, Small-Business (50 or fewer emp.) **Reviewed Date:** March 13, 2024 **What do you like best about IBM StreamSets?** StreamSets makes designing and managing data pipelines easy-peasy. Its versatility and vast array of connectors simplify the process of handling different data sources. It's like having a smooth operator for your data flow. **What do you dislike about IBM StreamSets?** While StreamSets offers many benefits, some users find its learning curve a bit steep initially. Additionally, the complexity of certain configurations might be overwhelming for beginners. **What problems is IBM StreamSets solving and how is that benefiting you?** StreamSets simplifies data integration and real-time processing, boosting operational efficiency and enabling faster insights from data. ### 33. Utilized the technology to design and deploy efficient data pipelines for ingestion of the data. **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** March 08, 2024 **What do you like best about IBM StreamSets?** The tool has userfriendly interface, which has simplified the process of designing data pipelines. The number of connectors has made it easy for me to integrate various data sources. Also an additional thing is that it can handle both stream and batch data. In the organisation, the client has migrated to StreamSets and it is used almost 80% of the time. The team is quite accessible in case of any defects raised and is very co-orperative. **What do you dislike about IBM StreamSets?** Down sides of using SteamSets might be the cost, for some scenarios the solution might be costlier than the competition, For Large scale data there have been reports of performance issues. **What problems is IBM StreamSets solving and how is that benefiting you?** For example, the client gets continous stream data from the source, media and other platforms, The extraction part of the streaming data in near real time has very much helped the client to make use of the data refreshes being more frequent and getting quicker insights with high efficiency. ### 34. Good integration tool **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Mid-Market (51-1000 emp.) **Reviewed Date:** April 13, 2024 **What do you like best about IBM StreamSets?** Streamsets is a good and lightweight integration tool with good ease of integration. It's fast and reliable. It has a decent library of connectors which are easy to use. I have been using streamsets for a year now and recently switched to data bricks. Customer support turnaround is decent. Ease of implementation is not that good as the learning curve is high without a good resource to study from **What do you dislike about IBM StreamSets?** lack of documentation and community support **What problems is IBM StreamSets solving and how is that benefiting you?** Stream sets have a good amount of pre-built connectors which accelerates the speed of data ingestion ### 35. A good ETL tool for real time data streaming **Rating:** 5.0/5.0 stars **Reviewed by:** Stalin A. | Associate Projects, Enterprise (> 1000 emp.) **Reviewed Date:** March 28, 2024 **What do you like best about IBM StreamSets?** It's very easy to build pipelines. Just drag and drop components and the coding can we done within the components. We can use a wide range of tech and languages to get our data transformation done. We can also connect to different DBs. Also modifying the pipelines and deploying it is very easy. **What do you dislike about IBM StreamSets?** Probably if we make a change to any jar components in the spark evaluator or add any component to the files in StreamSets , we need to restart the server. **What problems is IBM StreamSets solving and how is that benefiting you?** Building real time for a lot of attendance events, doing data transformation instantly and loading to DBs. ### 36. StreamSets tool for data integration and pipeline **Rating:** 4.5/5.0 stars **Reviewed by:** Ahmad Raza K. | Mid-Market (51-1000 emp.) **Reviewed Date:** November 23, 2023 **What do you like best about IBM StreamSets?** I've had a very positive overall experience with streamsets. Streamsets are a tool that our organization uses to migrate its on-premises data to the cloud, it is a potent tool that can assist us in our cloud migration journey by connecting to numerous tools, such as Hadoop and Teradata, with ease. **What do you dislike about IBM StreamSets?** So far i have observed that debugging becomes difficult when utilizing a large dataset because the pipeline fails without generating a specific error. It cannot establish parallel connections with Teradata to speed up pipeline execution. **What problems is IBM StreamSets solving and how is that benefiting you?** Its ability to establish connections with different data sources.Simple method for scheduling tasks, so it doesn't need additional tools like AutoSys. If you wish to establish dependencies between indivisual streamset pipelines, you can use Data Collector pipelines. **Official Response from Natasha Collins:** > Hi Ahmad, thank you for sharing your positive experience with StreamSets! We're thrilled to be a part of your organization's cloud migration journey, making the process smoother by connecting seamlessly with tools like Hadoop and Teradata. We appreciate your feedback about debugging challenges with large datasets. Our team is actively working to enhance error reporting for better visibility, ensuring a more seamless experience for users. Regarding the limitation with parallel connections to Teradata, we understand the importance of speed, and this feedback is invaluable for ongoing improvements. It's great to hear StreamSets has simplified your task scheduling without the need for additional tools. Our goal is to ensure your success in your data integration projects. Thank you for choosing StreamSets, and if you have any further insights or suggestions, please don't hesitate to reach out to us. ### 37. Streamsets Dataops **Rating:** 2.5/5.0 stars **Reviewed by:** Aishwary P. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 20, 2024 **What do you like best about IBM StreamSets?** Streamsets is having functions to built,check,observe and change the data pipeline which are momently providing data. **What do you dislike about IBM StreamSets?** StreamSets can handle a lot of data sources and destinations, but it struggles a bit with some fancy proprietary systems. **What problems is IBM StreamSets solving and how is that benefiting you?** StreamSets solves the headache of data integration, making it easier for you to manage diverse data sources and destinations, so you can focus on what matters most. ### 38. StreamSets : Review **Rating:** 4.0/5.0 stars **Reviewed by:** Dhaanish S. | Software Development Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 11, 2024 **What do you like best about IBM StreamSets?** I love using streamsets because it helps in moving data and make necessary transformations to the data by using processors. **What do you dislike about IBM StreamSets?** As of now I haven't faced any issues for this. **What problems is IBM StreamSets solving and how is that benefiting you?** StreamSets helps me in transforming the data and move it from one place to another with ease. ### 39. StreamSets for building data pipelines **Rating:** 5.0/5.0 stars **Reviewed by:** NIKHIL G. | GCP Data Engineer at TCS, Enterprise (> 1000 emp.) **Reviewed Date:** November 25, 2023 **What do you like best about IBM StreamSets?** StremSets User interface is very useful friendly. It provides drag and drop facility which simplifies building, designing and managing the data pipelines. It also handles a very large amount of data since it is scalable. We can use it for building both batch pipelines and streaming pipelines. It also provides security features such as encryption, access controls, data masking etc. The team also provides a very good customer support. Since it has drag and drop functionality we can easily implement and integrate it with different sources and destination. **What do you dislike about IBM StreamSets?** As of now I don't have any dislikes about StreamSets since it is improving a lot. **What problems is IBM StreamSets solving and how is that benefiting you?** Buliding the data integrations involves complex coding but with StreamSets we can drap and drop the data movements. It provides a very good intuitive visual interface. It also provides many kind of error handling mechanisms which is must during the data integrations. It also provides the monitoring capabilities for the data pipelines. Helps a lot in faster decision making capacity. **Official Response from Natasha Collins:** > Hi Nikhil - thank you for sharing your positive experience with StreamSets! We're delighted to hear that you find our user interface intuitive and the drag-and-drop functionality helpful for seamless pipeline development and that it aligns with your needs for handling large volumes of data, both in batch and streaming scenarios. Security is important to us and your feedback on security features, including encryption, access controls, and data masking, reflects our commitment to providing a robust and secure data integration solution. Our customer support team is dedicated to ensuring your success and thrilled to hear you've had a positive experience. We're happy to hear StreamSets has simplified your data integration process, replacing complex coding with an intuitive visual interface. We're committed to continuous improvement, and your feedback inspires us to keep enhancing our platform. Thank you for choosing StreamSets, and if you ever have additional insights to share or suggestions for improvement, we're all ears. ### 40. StreamSets: Adaptable data Intergration tool **Rating:** 3.5/5.0 stars **Reviewed by:** Pranshu G. | Software Developer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** November 24, 2023 **What do you like best about IBM StreamSets?** The fact that it allows you to orchestrate your data pipelines with minimal coding and with not-so-deep understading of DE/ETL concepts is super helpful. Also, Streamsets data collector is an open source tool to be used for data ingestion and integration usecases. **What do you dislike about IBM StreamSets?** Few things I could say where they came short. 1. Their pricing structure is rather ambigous and could be hard to decode while choosing the right version for your usecase 2.For some data sources, streamsets may not be have connectors as compared to other tools in the market. 3. With the GUI based tool, and being on pricey end, there is always long term maintenance ovehead which makes more problems that it solves. 4. They offer customer support via third party zendesk and their documentation resources aren't comprehensive enough in my experience **What problems is IBM StreamSets solving and how is that benefiting you?** The business was looking for a ETL tool that can cater wide variety of data ingestin sources and destinations along with the moderate transformations capability on the fly. We implemented streamsets to test out one of our pilot program focused on integrating diverse data sources (electricity users ) from vendors across world with the goal to find the behavioural patterns grouped by region/country/culture etc.. The pilot problem was a success. In future, team may want to scale it up to the point where the insights could be leveraged for growth of business **Official Response from Natasha Collins:** > Hi Pranshu - thank you for sharing your experience with StreamSets. We're thrilled to hear that our platform's user-friendly approach to orchestrating data pipelines with minimal coding has been super helpful, especially for those without an in-depth understanding of DE/ETL concepts. We appreciate your constructive feedback on areas where we can improve. We understand the importance and are committed to addressing these concerns to enhance the overall user experience. Regarding customer support and documentation, we're always working to improve both aspects to ensure you have a positive experience. We also have an active Community where you can typically find answers quickly and engage with other users. You can join here: https://community.streamsets.com/ We're delighted to hear that StreamSets has successfully addressed your business needs, facilitating the integration of diverse data sources for your pilot program. As you scale up for future initiatives, we're here to support your growth and ensure a positive experience with our platform. Thank you for choosing StreamSets, and we look forward to continuing to be your data integration partner. ### 41. Review for StreamSets **Rating:** 5.0/5.0 stars **Reviewed by:** Nimisha P. | Associate Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** November 22, 2023 **What do you like best about IBM StreamSets?** There are various upsides of using StreamSets as Many users appreciate StreamSets for its user-friendly interface and intuitive design. The platform aims to simplify the process of designing and managing data pipelines. StreamSets is very useful in terms of Data Drift Handling, Scalability, Extensibility, Monitoring and Management, Community Support, Real-time Data Processing, Customer Support and in many more. **What do you dislike about IBM StreamSets?** THere are not such any significant downside of using StreamSets but there are a few features in which StreamSets is laking behind are as Documentation Quality, Limited Transformations, Community and Ecosystem Maturity, Resource Intensive. **What problems is IBM StreamSets solving and how is that benefiting you?** StreamSets solves the problem related to Real-time Data Processing as Traditional batch processing may not meet the requirements of applications that demand real-time data processing, StreamSets supports real-time data processing, enabling organizations to analyze and act upon data as it is generated. This is crucial for use cases requiring low-latency insights and decision-making. Along with this StreamSets also resolve problem related to Scalability as data volumes grow, scalability becomes a concern for traditional data integration solutions, StreamSets is designed to scale horizontally, accommodating large volumes of data and adapting to changing processing needs. This scalability ensures that the platform can handle increased data loads as organizations grow. ### 42. Best Enterprise Grade Modern Data Integration Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** March 26, 2024 **What do you like best about IBM StreamSets?** Best UI/UX in terms of modern day ETL tools, it enhanced the working machenism thinking and good product support. **What do you dislike about IBM StreamSets?** Transformer still misses some basic functionality, and doesn't work well in Google cloud. **What problems is IBM StreamSets solving and how is that benefiting you?** Majorly for all Batch and Streaming Scenarios we are designing StreamSets pipelines, few best suited and tried out use cases below : 1. JDBC to ADLS data transfer based on source refresh frequency. 2. Kafka to GCS. 3. Kafka to Azure Event. 4. Hub HDFS to ADLS data transfer. 5. Schema generation to generate Avro. The easy to design Canvas, Scheduling Jobs, Fragment creation and utilization, an inbuilt wide range of Stage availability makes it an even more favorable tool for me to design data engineering pipelines. ### 43. No more changes in design patterns **Rating:** 3.5/5.0 stars **Reviewed by:** Kishan G. | Associate Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 19, 2024 **What do you like best about IBM StreamSets?** the best part of the StreamSets is person can create any type of integrations pipeline without changing the patterns that helps in reusability of the code and pipeline. using CDC any change in DB is refelceted to the end user and shows the real data without loosing it. **What do you dislike about IBM StreamSets?** it make things supereasy so nothing as i observed till now to dislike :) **What problems is IBM StreamSets solving and how is that benefiting you?** it simplfied the whole ingestion process and while any error easy to recover as well ### 44. Streamsets Review & ratings **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** March 27, 2024 **What do you like best about IBM StreamSets?** Best things i liked of streamsets is pipeline creation using mulyiple options of data sources and destination storage options & also very easy of processsing & transformation of data. **What do you dislike about IBM StreamSets?** Need more options in streamsets for data transformation & availability/integration of streamsets products in other products like GCP. **What problems is IBM StreamSets solving and how is that benefiting you?** Streamsets helped in transformation of data in very easy and efficient way. Also reusibility of pipelines into other pipelines helps making quick data transformation. ### 45. Powerful and user-friendly data integration platform **Rating:** 5.0/5.0 stars **Reviewed by:** Mili M. | IT Operational Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2023 **What do you like best about IBM StreamSets?** The best feature of StreamSets is its intuitive visual interface, allowing us to effortlessly design, monitor, and manage data pipelines without the need for complex coding. This has significantly reduced our development time and made the process highly accessible to both technical and non-technical team members. **What do you dislike about IBM StreamSets?** Though StreamSets is an outstanding tool, one aspect that could be improved is the initial learning curve for new users. While the interface is user-friendly, understanding all the features and configurations may take some time for those unfamiliar with data integration platforms. However, the support documentation and community forum help to mitigate this issue to a large extent. **What problems is IBM StreamSets solving and how is that benefiting you?** StreamSets has been a game-changer for us, addressing several critical challenges in our data management process. Firstly, it simplifies data integration tasks through its intuitive visual interface, enabling both technical and non-technical team members to participate in designing, monitoring, and managing data pipelines. This has significantly reduced the learning curve and development time, improving our overall productivity. Furthermore, StreamSets has helped us improve data quality and governance. Its monitoring and validation features allow us to track data quality metrics, identify anomalies, and ensure compliance with data privacy regulations and industry standards. By ensuring high-quality data, we can make more accurate and reliable business decisions. Moreover, as our data volumes grow, StreamSets scales effortlessly, handling large-scale data processing without compromising on performance. This scalability has allowed us to handle increasing data demands and grow our business without worrying about data integration bottlenecks. **Official Response from Natasha Collins:** > Hi Mili, thank you so much for taking the time to share your review of StreamSets. We are happy to hear your overall experience with our data integration platform has been very positive! It brings us great joy to know our platform has significantly reduced your development time, overall productivity, and allowed your business to handle increased data demands without challenge. We also appreciate your feedback around training and resources. It is good to hear our documentation and StreamSets Community assist with getting questions answered. I would like to mention we do offer free education and training courses with StreamSets Academy. Our goal is to support users with the training and education they need to be successful using StreamSets. We also offer certification belts to our users. If you have further feedback, course suggestions, or questions, please feel free to reach out to our Education team at education@streamsets.com. We are always here to lend a helping hand and ensure that you continue to have a positive experience with StreamSets. ### 46. StreamSets: Navigating the Data Integration Current with Ease **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** November 21, 2023 **What do you like best about IBM StreamSets?** StreamSets has been a game-changer for me. The initial learning curve was worth it, as the platform's user-friendly interface makes data integration a breeze. Implementing it was surprisingly easy, and the responsive customer support has been a lifesaver. I find myself using it frequently in my workflow, thanks to its diverse feature set that handles various integration needs. The platform seamlessly integrates into existing systems, making it an essential tool for efficient data management in my day-to-day tasks. **What do you dislike about IBM StreamSets?** I find StreamSets intuitive and powerful for data integration. The learning curve was a bit steep initially, but once mastered, it streamlined my workflows effectively. Occasionally, performance hiccups arose, but ongoing updates seem promising in addressing these issues. **What problems is IBM StreamSets solving and how is that benefiting you?** StreamSets solves data integration challenges, simplifying the movement and management of diverse data sources. This results in increased efficiency for me, making data tasks more streamlined and less time-consuming. The platform's continuous updates and support enhance the overall reliability of data integration processes. ### 47. Seamless data integration tool **Rating:** 4.5/5.0 stars **Reviewed by:** Abhishek S. | Software engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** November 22, 2023 **What do you like best about IBM StreamSets?** As a data engineer, running an ETL job in this platform in apache spark was carried out very smoothly and collecting data is always not a hassle job here. **What do you dislike about IBM StreamSets?** So far i found that the pipelines fails when i am running a large dataset which makes it very difficult to debug. **What problems is IBM StreamSets solving and how is that benefiting you?** Scheduling job, migrating data on cloud like snowflake made it very easy for us to carry the operation in our organization. ### 48. Satisfactory **Rating:** 3.5/5.0 stars **Reviewed by:** Kumar A. | Senior Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** March 18, 2024 **What do you like best about IBM StreamSets?** Seamless integration with data sources. Also work flow is easy to handle and manage **What do you dislike about IBM StreamSets?** Over all UI can be more intutive for a beginer **What problems is IBM StreamSets solving and how is that benefiting you?** I wanted a tool to connect to multiple data base as different customer have different requirments and StreamSets work seamlessly with many dataset at one unified location ### 49. StreamSets **Rating:** 5.0/5.0 stars **Reviewed by:** shweta t. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 23, 2023 **What do you like best about IBM StreamSets?** StreamSets Data Collector Engine is an easy-to-use data pipeline engine for streaming, CDC, and batch ingestion from any source to any destination. You don't need to know any code to use this user-friendly interface. It is reasonably priced and capable of resolving any integration issues without interference, particularly with data integration. **What do you dislike about IBM StreamSets?** Dealing with extremely intricate and unique data integration circumstances occasionally presented challenges for me. There also needs to be more learning materials and assistance because the idea is somewhat unique. **What problems is IBM StreamSets solving and how is that benefiting you?** We frequently had to source data from various platforms using different tools. Streamsets enable connectivity from a single tool to multiple data endpoints. ### 50. Streamsets tool as end-to-end data integration platform **Rating:** 4.5/5.0 stars **Reviewed by:** Pranesh G. | Back End Developer, Enterprise (> 1000 emp.) **Reviewed Date:** November 24, 2023 **What do you like best about IBM StreamSets?** This is used by our organization for below uses >> it builds batches and streaming pipelines in Hours. >> It protects sensitive data. >> Ease of Use **What do you dislike about IBM StreamSets?** Below are the failures which I faced in our organziation >> less numbers of connectors are available in cloud version. >> Debugging becomes difficult when we worked on a large dataset and sometimes fails without generating any error. **What problems is IBM StreamSets solving and how is that benefiting you?** Below are the benifits of using StreamSets >> This Maps and Monitor the performances at Runtime. >> Also This protects sensitive data when it comes. >> This provides simple methods for scheduling tasks. **Official Response from Natasha Collins:** > Hi Pranesh - thank you for sharing your experience! We're thrilled to hear StreamSets has accelerated your pipeline development and enhanced data security. We appreciate your feedback on connectors in the cloud version and debugging challenges. Rest assured, we're actively working on enhancing features and improving processes for our users. We're glad to hear StreamSets is effectively mapping, monitoring, and ensuring the security of your sensitive data. We're committed to continuous improvement and thank you for your valuable insights. If you ever have more insights to share or encounter any challenges, please don't hesitate to reach out to our support team at https://streamsets.com/about-us/contact-us. We're here to assist you. ## IBM StreamSets Discussions - [here](https://www.g2.com/discussions/33270-here) - 1 comment, 1 upvote - [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) - 1 comment - [View IBM StreamSets pricing details and edition comparison](https://www.g2.com/products/ibm-streamsets/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-14+04%3A33%3A30+-0500&secure%5Bsession_id%5D=c07ed66f-f44d-4c6f-87ec-f65f1f3eb395&secure%5Btoken%5D=0c9a7c2e7d878454fd661aff3d4d6c10caa94befca5d4269492f2c6ea83ef05e&format=llm_user) ## IBM StreamSets Integrations - [AWS Auto Scaling](https://www.g2.com/products/aws-auto-scaling/reviews) - [ES Engage](https://www.g2.com/products/es-engage/reviews) - [Mysql workbench](https://www.g2.com/products/oracle-mysql-workbench/reviews) - [PyTorch](https://www.g2.com/products/pytorch/reviews) - [TensorFlow](https://www.g2.com/products/tensorflow/reviews) ## IBM StreamSets Features **Data** - Data Processing - Data Sources - Integration - Real-Time Processing **Functionality** - Diverse Extraction Points - Data Structuring - Consolidation - Data Cleaning - Cloud Extraction - Visualization **Management** - Reporting - Auditing **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Analytics** - Reporting & Analytics **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Analytics** - Analytics capabilities - Dasboard visualizations **Diverse Extraction Points** - Diverse Extraction Points **Monitoring and Management** - Data Observability - Testing capabilities **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Customization - User, Role, and Access Management - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top IBM StreamSets Alternatives - [Fivetran](https://www.g2.com/products/fivetran/reviews) - 4.3/5.0 (776 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (740 reviews) - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) - 4.5/5.0 (560 reviews)