We performed a comparison between SSIS and StreamSets based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The performance and stability are good."
"It is easy to set up the product."
"SSIS' best feature is SFTP connectivity."
"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle."
"The workflow features have been very valuable. You can have automated workflows and all the steps are controlled. The workflow functionality of integration services is excellent."
"The data reader is the most valuable feature."
"Its compatibility with Microsoft products has been very valuable to our company. It fits well within the architecture."
"It has a drag and drop feature that makes it easy to use. It has a good user experience because it takes into account your most-used tools and they're lined up nicely so you can just drag and drop without looking too far. It also integrates nicely with Microsoft."
"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."
"It is really easy to set up and the interface is easy to use."
"The most valuable features are the option of integration with a variety of protocols, languages, and origins."
"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"
"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."
"The best feature that I really like is the integration."
"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."
"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."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"SSIS sometimes hangs, and there are some problems with servers going down after they've been patched."
"Options for scaling could be improved."
"Sometimes we need to connect to AWS to get additional data sources, so we have to install some external LAN and not a regular RDBMS. We need external tools to connect. It would be great if SSIS included these tools. I'd also like some additional features for row indexing and data conversion."
"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."
"It's a legacy tool, that is nearing the end of its useful life."
"It's difficult to refactor SSIS. It gets cumbersome to reuse the solution."
"The solution could improve on integrating with other types of data sources."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."
"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."
"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."
"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"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."
"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."
SSIS is ranked 2nd in Data Integration with 69 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. SSIS is rated 7.6, while StreamSets is rated 8.4. The top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". On the other hand, the top reviewer of StreamSets writes "We no longer need to hire highly skilled data engineers to create and monitor data pipelines". SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue, whereas StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, IBM InfoSphere DataStage and Oracle GoldenGate. See our SSIS vs. StreamSets report.
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We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
