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StreamSets Reviews

Vendor: IBM
4.2 out of 5
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What is StreamSets?

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

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StreamSets is the #25 ranked solution in top Data Integration Tools. PeerSpot users give StreamSets an average rating of 8.4 out of 10. StreamSets is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): StreamSets vs Informatica Intelligent Data Management Cloud (IDMC). StreamSets is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 10% of all views.
Buyer's Guide
StreamSets
March 2026
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StreamSets mindshare

As of April 2026, the mindshare of StreamSets in the Data Integration category stands at 1.2%, down from 1.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
StreamSets1.2%
SSIS3.6%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other91.6%
Data Integration

PeerResearch reports based on StreamSets reviews

TypeTitleDate
CategoryData IntegrationApr 4, 2026Download
ProductReviews, tips, and advice from real usersApr 4, 2026Download
ComparisonStreamSets vs SSISApr 4, 2026Download
ComparisonStreamSets vs Informatica Intelligent Data Management Cloud (IDMC)Apr 4, 2026Download
ComparisonStreamSets vs Azure Data FactoryApr 4, 2026Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.03.6%92%214 interviewsAdd to research
SSIS3.83.6%80%76 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

StreamSets offers easy configuration and a user-friendly graphical interface. It supports multiple connectors and stages for data transformation, including data masking and schema generation. Integration with platforms like Hadoop, Snowflake, Azure, and Kafka is seamless. The tool excels in ETL capabilities and data drift resilience, providing automatic alerts. Its Control Hub and Data Collector features facilitate centralized management, minimal coding, and rapid deployment, greatly enhancing efficiency and reducing the need for technical expertise.
  • "StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages, completing processes that previously took approximately an hour to an hour and a half with Hadoop in just 15 minutes and saving us around 45 minutes per data pipeline or table that we migrate."
  • "StreamSets' reusable assets have helped to reduce workload by 32% to 40%."
  • "It has helped us in moving into the data analytics world at a faster pace than any other tool would have done."

Room for Improvement

StreamSets users want enhanced integration beyond Java, improved real-time capabilities, and streamlined logging and visualization. The GUI needs updates, and security features could be expanded to meet stricter organizational requirements. SAP HANA support is limited, and pipeline organization could be more intuitive. Documentation requires improvements, and user expertise is crucial due to a steep learning curve. Memory issues and data drift resilience need addressing, and latency problems are noted in cloud storage operations. Users seek a more user-friendly interface overall.
  • "The logging mechanism could be improved. Now, it is a bit difficult to understand and filter the logs."
  • "If the data processing in StreamSets takes a long time as compared to the previous solution, then we will reconsider why we use StreamSets."
  • "There are a few things that can be better."

ROI

StreamSets significantly reduces data processing time, enhances efficiency by 20-70%, and boosts revenue by up to 50%. It streamlines complex data operations, saving money otherwise spent on custom platforms and extensive training. Resource needs decrease by 30%, eliminating manual error and enabling faster data-driven decisions. StreamSets offers a secure, trustworthy platform that augments organizational productivity, resulting in substantial cost savings and a positive financial impact.

Pricing

StreamSets offers both free and paid versions, including open-source and commercial licenses. Enterprises find the CPU core-based licensing effective, though opinions on pricing vary. Some users appreciate its moderate cost, while others find it expensive, especially for smaller enterprises. The solution's flexibility is suitable for larger organizations, but there's criticism over fixed pricing and additional costs for updates. Overall, StreamSets is valued for its comprehensive offerings, but pricing perceptions differ across businesses.
  • "The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."
  • "Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."
  • "The pricing is affordable for any business."

Popular Use Cases

StreamSets is utilized for extracting data from Kafka topics, transporting Oracle datasets to Azure, building data pipelines for cloud migrations, and integrating datasets from multiple sources. Companies design data pipelines for analytics, engaging in real-time streaming to Azure Event Hubs. It aids in data transformation, ingests data for DataOps, and supports batch loading. IT departments configure StreamSets for stable, secure solutions, while leading initiatives in healthcare data processing and migration to the cloud.

Service and Support

Many find StreamSets' customer service knowledgeable and responsive, with support often conducted via email or dedicated portals. Users appreciate the team's prompt assistance, although some express a need for quicker resolutions. Support is particularly valued for its technical handling and detailed analysis, though it might take time to engage the right specialist. StreamSets provides patches and upgrades to address specific issues, enhancing user experiences, despite some challenges in immediate engagements.

Deployment

StreamSets initial setup is generally straightforward but varies in complexity depending on the organization's setup. Some found it simple, especially when guided by documentation or support. Others experienced challenges due to technical skills or multiple data sources, requiring more time and assistance. Deployments are often done in phases with various environments, and maintenance needs are minimal, typically managed by small teams. With cloud-based deployment, ongoing management is handled efficiently.

Scalability

Many users agree that StreamSets is highly scalable, with support for increased load handling and multiple platforms. While scalability is affected by installation environment, users report successful use across various teams and locations, including cloud-based setups. Some suggest room for improvement in auto-scaling for data migration projects. StreamSets is being adopted by numerous companies, fueling interest and curiosity. It effectively handles millions of records, making it suitable for small to medium enterprises.

Stability

StreamSets demonstrates solid stability, functioning without major interruptions for months. Users have noted occasional memory issues and latency with cloud-based deployment, but patches and upgrades often address these. Confidence in its operations is high, even during intense usage. Some users would appreciate quicker issue resolution and high-availability implementations. Despite previous bugs, recent updates have enhanced reliability, earning ratings around eight to ten. StreamSets ranks among the top in its category for stability.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our StreamSets Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise9
By reviewers
By visitors reading reviews
Company SizeCount
Small Business79
Midsize Enterprise40
Large Enterprise206
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
10%
Insurance Company
8%
Manufacturing Company
8%
Computer Software Company
6%
Healthcare Company
6%
Real Estate/Law Firm
6%
Educational Organization
6%
Energy/Utilities Company
5%
Transportation Company
5%
Retailer
5%
Comms Service Provider
4%
Logistics Company
4%
University
4%
Government
4%
Wholesaler/Distributor
2%
Construction Company
2%
Media Company
2%
Outsourcing Company
2%
Performing Arts
2%
Marketing Services Firm
2%
Non Profit
2%
Hospitality Company
2%
Wellness & Fitness Company
1%
Recreational Facilities/Services Company
1%
Newspaper
1%
Consumer Goods Company
1%
Pharma/Biotech Company
1%

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StreamSets customers

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

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Product Categories

Product Categories
Data Integration

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StreamSets Reviews Summary
Author infoRatingReview Summary
Senior Data Platform Manager at a manufacturing company with 10,001+ employees4.0I found StreamSets effective for data transformation with valuable plugins that integrate well with various sources. However, issues like handling non-integer columns, frequent pipeline failures, and licensing concerns need improvement. It's cost-effective compared to other solutions but situationally beneficial.
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees4.5I use StreamSets for batch loading and appreciate its GUI-based interface, hybrid installation options, and excellent enterprise support. However, memory issues require frequent AWS EC2 upgrades, and I'd like to see data lineage visualization added to its features.
Software Engineer at Soft Hostings Limited5.0StreamSets is used in our IT department for stable configuration, data analytics, and real-time predictions. It's user-friendly, integrates well with platforms like Kafka, but needs better debugging tools. We've achieved a 40% ROI using AWS.
Product Manager at a hospitality company with 51-200 employees4.0We used StreamSets to efficiently process and classify healthcare data with a high bifurcation rate, saving costs and increasing accuracy. It replaced manual work and scaled operations without additional hires. Manual data manipulation would enhance its effectiveness further.
CEO-founder at Tubayo4.5I use StreamSets for building a data lake, supporting easy data transformation without coding skills. While integration with Kafka is simple, the setup of nodes can be unclear. Since implementing it on AWS, sales have increased by 50%.
Chief software engineer at Appnomu Business Services4.0In our department, we utilize StreamSets for creating data pipelines to load data from various sources to the cloud, such as Azure. It integrates well with Azure Keyvault, simplifies data integration, and has yielded a 30% return on investment. However, it requires improvement in visualization and monitoring, and its licensing model is expensive.
Sales Manager at Soft Hostings Limited4.0I use StreamSets for developing data feeds and managing scheduling options, valuing its integration with various protocols and ease of use. However, issues with reconnection and outdated documentation need improvement. Despite its cost, it has delivered significant ROI and improved client trust.
Technical Specialist at Accenture4.5We use StreamSets for healthcare data engineering, appreciating its user-friendly interface, easy connectivity with sources like SQL Server and Azure, and efficient pipeline management. Despite some UI improvements needed, it offers a significant ROI and reduces coding needs.