IBM StreamSets - Build it and Watch it Run.
September 17, 2025

IBM StreamSets - Build it and Watch it Run.

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM StreamSets

We use IBM StreamSets for batch loading of data sets between disparate applications into a Data estate so we can query the data to find patterns. We also use IBM StreamSets to handle our continuously streaming data requirements. We went with IBM StreamSets over the competition because of their unique (patented) architecture.

Pros

  • Real-Time Data Ingestion.
  • Streaming Pipelines at Scale.
  • Handling Data Drift and Schema Changes.
  • Flexibility Across Hybrid/Multi-Cloud/On-Prem Environments.

Cons

  • Performance handling Large Data Volumes.
  • Debugging, Error Logging, and Observability.
  • Connector/Integration Coverage.
  • Huge reduction in maintenance as the StreamSets pipelines are resilient.
  • Eliminated the need for other data ingestion tools, saving us hundreds of thousands annually.
The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
We chose IBM StreamSets because we used to own the product before selling it to IBM, so we have a tremendous amount of folks who are familiar with the product.

Do you think IBM StreamSets delivers good value for the price?

Yes

Are you happy with IBM StreamSets's feature set?

Yes

Did IBM StreamSets live up to sales and marketing promises?

Yes

Did implementation of IBM StreamSets go as expected?

Yes

Would you buy IBM StreamSets again?

Yes

Because real-world sources often change (new fields get added, formats get tweaked, etc.), StreamSets helps detect and adapt to those "schema drifts" or changes automatically, or with minimal manual intervention. That makes pipelines more resilient and significantly reduces the maintenance burden. Therefore, data sets with constantly changing sources/formats are great for StreamSets.

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