--- title: IBM StreamSets Reviews meta_title: 'IBM StreamSets Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 117 reviews by the users' company size, role or industry to find out how IBM StreamSets works for a business like yours. aggregate_rating: rating_value: 4.0 review_count: 117 scale: '5' date_modified: '2026-07-17' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # 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 value the **ease of use** in IBM StreamSets, highlighting its intuitive interface and beginner-friendly features. (30 reviews) - Users praise the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing visualization and debugging efficiency. (16 reviews) - Users value the **effective data management capabilities** of IBM StreamSets for seamless integration and automation across environments. (15 reviews) - Users appreciate the **simplification of data integration workflows** in IBM StreamSets, making pipeline creation intuitive and efficient. (15 reviews) - Users value the **wide range of integrations** offered by IBM StreamSets, enhancing cloud and on-premise data connectivity. (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 experience a **steep learning curve** , particularly when using advanced features and managing complex pipelines effectively. (13 reviews) - Users find the **pricing to be excessive** , especially for smaller teams, impacting overall satisfaction with IBM StreamSets. (10 reviews) - Users find the **learning difficulty** of advanced features in StreamSets to be time-consuming and not well-supported. (8 reviews) - Users often experience **slow performance** with IBM StreamSets, particularly when processing large volumes of data or complex pipelines. (8 reviews) - Users find the **steep learning curve** of IBM StreamSets challenging, especially with advanced features and configurations. (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. StreamSets **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** March 20, 2021 **What do you like best about IBM StreamSets?** Its friendly environment and user interface **What do you dislike about IBM StreamSets?** StreamSets should add more features and should reduce some latency . **Recommendations to others considering IBM StreamSets:** You can use it **What problems is IBM StreamSets solving and how is that benefiting you?** We are collecting data by using streamsets ### 2. Lead Data Engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Investment Banking | Enterprise (> 1000 emp.) **Reviewed Date:** October 29, 2020 **What do you like best about IBM StreamSets?** The development speed for a Spark Application. **What do you dislike about IBM StreamSets?** The control hub must be available as part of trail version, with minimal feature **Recommendations to others considering IBM StreamSets:** If you want to exploit the full power of Apache Spark and maintain it easily then Streamsets in the best way to do it. **What problems is IBM StreamSets solving and how is that benefiting you?** Convert Spark coding into drag and dropable UI ### 3. Review **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** September 30, 2020 **What do you like best about IBM StreamSets?** The ease of development and it doesn’t have any windows OS level footprint. **What do you dislike about IBM StreamSets?** Metadata injection building transformation via template lot of python code a developer have to write down. Most of the ETL developers core and experienced one fear from python they know very well shell scripts due to Informatica and then most of the developers looks out. Try to build something from ui which inturn should generate a standard python code **What problems is IBM StreamSets solving and how is that benefiting you?** Lot of AI / ML . Like building transformations for the main build called for knowledge graph ### 4. Very powerful tool with a lots of endpoints and high performance **Rating:** 5.0/5.0 stars **Reviewed by:** Zorik Z. | Full Stack Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 21, 2020 **What do you like best about IBM StreamSets?** Easy integration with different endpoints **What do you dislike about IBM StreamSets?** It will be better to have more tutorials and documentation. **Recommendations to others considering IBM StreamSets:** powerful tool with many endpoints and great support **What problems is IBM StreamSets solving and how is that benefiting you?** I was working on StreamSets integration with Greenplum using GRPC ### 5. I'll recommend it to my friends because there no single line of code **Rating:** 5.0/5.0 stars **Reviewed by:** Rizwan S. | Hadoop Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** October 12, 2020 **What do you like best about IBM StreamSets?** Easy to use and understand, just drag and drop. We can graphically monitor the flow. **What do you dislike about IBM StreamSets?** Please increase the origins and destinations **What problems is IBM StreamSets solving and how is that benefiting you?** Integrating cloud data with HDFS ### 6. Review on Streamsets **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2020 **What do you like best about IBM StreamSets?** It is used as real time whenever there are updates in the source database. **What do you dislike about IBM StreamSets?** Sometimes, data sits in Kafka and we need to add extra functionality to pull residual data. **What problems is IBM StreamSets solving and how is that benefiting you?** If we use Streamsets, we can access source data in less than 5 minutes without any further delay. ### 7. Solution Architect **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** September 30, 2020 **What do you like best about IBM StreamSets?** As a Solution Architect, I found StreamSets tool very useful in understanding dataflows in our company **What do you dislike about IBM StreamSets?** To be honest I'd like more training to be offered by the company **What problems is IBM StreamSets solving and how is that benefiting you?** StreamSets solution was very helpful in getting an enormous amount of data from IoT devices into the central database. ### 8. Been using Streamsets for all of use cases for onprem to cloud transfers **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** October 25, 2020 **What do you like best about IBM StreamSets?** Easy UX makes it easier to configure pipelines **What do you dislike about IBM StreamSets?** Streamsets Control hub has a lot of issues when multiple DC attached **What problems is IBM StreamSets solving and how is that benefiting you?** Onprem to Cloud data transfers ### 9. Good Data Movement Software **Rating:** 4.0/5.0 stars **Reviewed by:** Amit C. | Sr.Specialist Product Development, Enterprise (> 1000 emp.) **Reviewed Date:** June 27, 2019 **What do you like best about IBM StreamSets?** It is drag and Drop software.Almost no coding is required to create the data flows with Streaming Sets. It has intuitive interface and complete flow can be viewed.We can monitor the run time performance I like it very much.We can detect PII by pattern matching so that we can secure the data.This can be executed at enterprise scale. **What do you dislike about IBM StreamSets?** The application takes some time to load.Other wise its great software tool to be used for large scale applications. **Recommendations to others considering IBM StreamSets:** I would recommend Stream Sets to others for Data Ingestion.Its great tool to be used .Very helpful. **What problems is IBM StreamSets solving and how is that benefiting you?** We are using Stream sets in our big data project.We are using it to move large data across.We are using it for real time data ingestion.The data is continuously streamed from external sources into our systems.This data we are using for analysis and DSS systems. ### 10. Review **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** November 07, 2019 **What do you like best about IBM StreamSets?** Good user interface, lots of capabilities, good documentation/help **What do you dislike about IBM StreamSets?** This is the only data collection tool I have used, so I don't have anything to compare this with. No complaints **What problems is IBM StreamSets solving and how is that benefiting you?** Pulling data from multiple different types of data sources that we were previously unable to connect to ### 11. Good Streaming Data Integration software **Rating:** 3.5/5.0 stars **Reviewed by:** Prerana B. | Sr.Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** June 25, 2019 **What do you like best about IBM StreamSets?** It provides visual UI for designing and deployment for the data flows. Also it is cloud based which is very helpful. Moreover creating data pipeline does not require coding which is very good. **What do you dislike about IBM StreamSets?** The application sometimes does not perform well. Sometime it takes time to load the software. Otherwise the tool is very good. **Recommendations to others considering IBM StreamSets:** I would recommend the users to use Stream sets to process data specifically with large volume. **What problems is IBM StreamSets solving and how is that benefiting you?** We use it to injest and process data in hundreds of files. We use Data collector for it. Also we are using it with Hadoop system to process files. ### 12. Best app for deployment **Rating:** 3.5/5.0 stars **Reviewed by:** Sergio H. | SA, Enterprise (> 1000 emp.) **Reviewed Date:** June 11, 2019 **What do you like best about IBM StreamSets?** I can deploy new apps in aws with a easy way **What do you dislike about IBM StreamSets?** I have not used too much the application, but at the moment i do t dislike nothing **What problems is IBM StreamSets solving and how is that benefiting you?** I only use SteemSets for deploy my new aplicattions in aws ### 13. Performance Management tool **Rating:** 4.5/5.0 stars **Reviewed by:** Nidhi M. | Information Technology Analyst, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** July 23, 2019 **What do you like best about IBM StreamSets?** Open source software for building batch and data stream flows.It measurers the data flow performance and data quality. **What do you dislike about IBM StreamSets?** User interface should be improved .Sometimes its very confusing to navigate with software **What problems is IBM StreamSets solving and how is that benefiting you?** It creates pipelines in minutes and design batch and steaming data with minimal coding and maximum flexibility. ### 14. Good offering but need more value **Rating:** 3.5/5.0 stars **Reviewed by:** Munish M. | Senior Team Lead, Enterprise (> 1000 emp.) **Reviewed Date:** April 08, 2019 **What do you like best about IBM StreamSets?** Streamset is simple effective tool to setup CDC pipelines. Can integrate to almost all databases and cloud platforms, ETL tools. The best part is how easy is to build pipelines and manage the same. **What do you dislike about IBM StreamSets?** We expect more features from streamsets to enable fast data capture with less turnaround time. **What problems is IBM StreamSets solving and how is that benefiting you?** moving incremental data from oracle to cloud. ### 15. It is okay to use **Rating:** 0.5/5.0 stars **Reviewed by:** Verified User in Market Research | Mid-Market (51-1000 emp.) **Reviewed Date:** June 23, 2019 **What do you like best about IBM StreamSets?** I like the software. It’s fun to use and make my life easier **What do you dislike about IBM StreamSets?** The learning curve is steep and can be difficult for a newbie. Once learnt is great though. **What problems is IBM StreamSets solving and how is that benefiting you?** OST functionality scross our team has improved greatly. ### 16. StreamSets at Work **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Enterprise (> 1000 emp.) **Reviewed Date:** June 11, 2019 **What do you like best about IBM StreamSets?** The way how data is used in the platform better than competitors **What do you dislike about IBM StreamSets?** The way the platform still has a few bugs **What problems is IBM StreamSets solving and how is that benefiting you?** Mass amounts of data ### 17. It's a good software, but has it's limitations. **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Information Services | Mid-Market (51-1000 emp.) **Reviewed Date:** December 24, 2018 **What do you like best about IBM StreamSets?** Easy to use ETL tool for faster development, deployment. Has various out of the box connectors to use. **What do you dislike about IBM StreamSets?** Not good for sophisticated business requirements. Requires good infrastructure and can be a pain. **What problems is IBM StreamSets solving and how is that benefiting you?** Ingestion of large files and data points from various sources into Hadoop platform. Benefits are ease of use, fast development, testing and less code. ## 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?page=3§ion=pricing&secure%5Bexpires_at%5D=2026-07-25+19%3A22%3A54+-0500&secure%5Bsession_id%5D=ebfaf973-10b8-4fb0-beff-ed36811a4594&secure%5Btoken%5D=9633a85d864c6a33e88088e57a397a70aef516cad3ccd60c2c3ddfd816152ca1&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 (804 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,327 reviews) - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) - 4.5/5.0 (560 reviews)