IBM StreamSets Reviews & Product Details

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.

Seller

IBM

Discussions

IBM StreamSets Community

Languages Supported

English

Solution Type

All-in-One

Overview by

Natasha Collins

Value at a Glance

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

20 months

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Top-Rated Alternatives

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User Insights

Average based on 115 real user reviews.

Implementation Time

4 months

Perceived Cost

$$$$$

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Verified User in Information Technology and Services

Small-Business (50 or fewer emp.)

4/28/2025

"Powerful and Flexible ETL solution with IBM StreamSets"

0/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

9/9/2025

"Workflow simplification at peak"

4/5

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. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Nothing specific i have encountered till now as everything currently works as expected Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

Originally submitted 11/25/2023

"An easy and guided approach for creating data pipelines"

4/5

What do you like best about IBM StreamSets?

Use of openshift data foundation. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Improve learning curve, improvement in UI. Review collected by and hosted on G2.com.

Response from Natasha Collins of IBM StreamSets

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.

Vasstav K.

AI Intern

Small-Business (50 or fewer emp.)

4/28/2025

"streaming data pipelines through GUI is great"

4/5

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. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

I don't feel that there are any such. Have to use in-order to know. Review collected by and hosted on G2.com.

Abhigyan S.

Software Engineer

Retail

Small-Business (50 or fewer emp.)

5/9/2025

"Overall good experience, I like the ease of using it."

3.5/5

What do you like best about IBM StreamSets?

I like IBM StreamSets ease of use and Customer Support Team. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Almost everything is good. Number of interactive features can be improved. Review collected by and hosted on G2.com.

Riya K.

Software Engineer

Mid-Market (51-1000 emp.)

4/30/2025

"Good Product"

3.5/5

What do you like best about IBM StreamSets?

I like the ease of use of this tool. Customer support is ok. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Number of features can be improved upon. Review collected by and hosted on G2.com.

Mohammad I.

Internal Consultant

Enterprise (> 1000 emp.)

Originally submitted 9/6/2023

"Capable streaming data processing tool"

4/5

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. Review collected by and hosted on G2.com.

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 this ability in Streamsets will certainly help. Review collected by and hosted on G2.com.

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 pipelines which are being used to generate marketing prompts to the customers.

3. The development time (as compared to pyspark) has been reduced as it is a low code GUI tool

4. It has also helped in reducing our dependency on other ELT tools e.g. Informatica DEI. Review collected by and hosted on G2.com.

Gaurav N.

Enterprise (> 1000 emp.)

3/13/2024

"Simple to use pipeline based integration tool"

3/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Neeraj G.

Data Engineer

Computer Software

Mid-Market (51-1000 emp.)

2/22/2024

"Best UI for Pipelines"

5/5

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 easily implement a pipeline using the desired origin from the list of various origins. You can use it on a daily basis for your pipeline review. The customer support from the StreamSets side is very appreciated. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

There is nothing to say bad about it. Just sometimes the preview field lacks in previewing the high intensity data. Review collected by and hosted on G2.com.

Shilpi J.

Senior Software Development Engineer

Enterprise (> 1000 emp.)

Originally submitted 11/22/2023

"Review on StreamSets as Dev"

4.5/5

What do you like best about IBM StreamSets?

I used StreamSets in one of my ETL projects 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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.