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StreamSets Reviews

Vendor: IBM
4.2 out of 5
451 followers
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Helped 856,856 peers since 2012

Featured StreamSets reviews

StreamSets mindshare

As of June 2025, the mindshare of StreamSets in the Data Integration category stands at 1.6%, up from 1.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Integration

PeerResearch reports based on StreamSets reviews

TypeTitleDate
CategoryData IntegrationJun 13, 2025Download
ProductReviews, tips, and advice from real usersJun 13, 2025Download
ComparisonStreamSets vs Azure Data FactoryJun 13, 2025Download
ComparisonStreamSets vs Informatica Intelligent Data Management Cloud (IDMC)Jun 13, 2025Download
ComparisonStreamSets vs SSISJun 13, 2025Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.04.3%93%185 interviewsAdd to research
Azure Data Factory4.08.4%92%91 interviewsAdd to research
 
 
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Room for Improvement

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Review data by company size

By reviewers
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
8%
Retailer
6%
Government
5%
Real Estate/Law Firm
5%
Healthcare Company
5%
Energy/Utilities Company
4%
Comms Service Provider
3%
Educational Organization
3%
Wholesaler/Distributor
3%
Logistics Company
3%
University
3%
Media Company
2%
Hospitality Company
2%
Non Profit
2%
Construction Company
2%
Transportation Company
1%
Performing Arts
1%
Legal Firm
1%
Consumer Goods Company
1%
Wellness & Fitness Company
1%
Outsourcing Company
1%
Pharma/Biotech Company
1%
Mining And Metals Company
1%
Non Tech Company
1%
Aerospace/Defense Firm
1%
 

StreamSets reviews

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SS
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
Verified user of StreamSets
Apr 2, 2025
Enables effective batch loading with visual interface and enterprise support

Pros

"StreamSets is the leader in the market."

Cons

"One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure."
Ved Prakash Yadav - PeerSpot user
Senior Data Platform Manager at a manufacturing company with 10,001+ employees
Verified user of StreamSets
Apr 16, 2024
Useful for data transformation and helps with column encryption

Pros

"The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up. "

Cons

"We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered. "
Find out what your peers are saying about StreamSets. Updated May 2025
856,856 professionals have used our research since 2012.
SS
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
Verified user of StreamSets
Jun 14, 2022
Product version discussed: SaaS
Quite simple to use for anybody who has an ETL or BI background

Pros

"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

Cons

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."
Nantabo Jackie - PeerSpot user
Sales Manager at Soft Hostings Limited
Verified user of StreamSets
Apr 2, 2023
Simplified pipelines and helped us break down data silos within our organization

Pros

"The most valuable features are the option of integration with a variety of protocols, languages, and origins."

Cons

"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
Reyansh Kumar - PeerSpot user
Technical Specialist at Accenture
Verified user of StreamSets
Mar 13, 2023
We no longer need to hire highly skilled data engineers to create and monitor data pipelines

Pros

"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."

Cons

"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."
Karthik Rajamani - PeerSpot user
Principal Engineer at Tata Consultancy Services
Verified user of StreamSets
Jul 10, 2022
Integrates with different enterprise systems and enables us to easily build data pipelines without knowing how to code

Pros

"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks. "

Cons

"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."
Ramesh Kuppuswamy - PeerSpot user
Senior Software Developer at a tech vendor with 10,001+ employees
Verified user of StreamSets
Jan 25, 2023
Eradicated our data silos, integrating all data files into one central system

Pros

"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."

Cons

"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."
MI
Software Engineer at Soft Hostings Limited
Verified user of StreamSets
Sep 18, 2024
It's lightweight and well-integrated, and it saves a lot of money and time

Pros

"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."

Cons

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline. "