We performed a comparison between Informatica PowerExchange 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."It is a scalable and versatile solution."
"The most valuable feature is connectivity to data sources."
"Mainstream integration and real-time integration are the best features."
"From the product feature or product capability perspective, the aspects around integration, transformation, and standardization are valuable. It's fairly easy to use. It has a GUI-based interface."
"This product is easy to install and it can be done in a few hours."
"The transformation work called for Informatica PowerExchange. It was easy to work with this and very stable."
"The product’s flexibility is valuable."
"The scalability is excellent."
"The ability to have a good bifurcation rate and fewer mistakes is valuable."
"The most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."
"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 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."
"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."
"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."
"It's very easy to integrate. It integrates with Snowflake, AWS, Google Cloud, and Azure. It's very helpful for DevOps, DataOps, and data engineering because it provides a comprehensive solution, and it's not complicated."
"In StreamSets, everything is in one place."
"The solution could be made more user-friendly. The configurations are also quite difficult."
"The major shortcoming of PowerExchange is high availability and failover. None of the versions we've used to date have had the out-of-the-box ability to enable failover and high-availability requirements. This is a significant challenge and risk."
"The product's high costs can be an area of concern where improvements are required."
"The one place where it could be improved is definitely pricing. That's a very big problem. It depends product to product, but pricing is an issue."
"Pushdown optimization could be improved."
"Technical support can be improved with respect to delays in ticket response time."
"I would like to have easier integration with cloud platforms."
"Integration with the largest number of databases and other systems would be important."
"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."
"Visualization and monitoring need to be improved and refined."
"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."
"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."
"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."
"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."
"Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
Informatica PowerExchange is ranked 21st in Data Integration with 19 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. Informatica PowerExchange is rated 7.8, while StreamSets is rated 8.4. The top reviewer of Informatica PowerExchange writes "Handles big data better than competitors". 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". Informatica PowerExchange is most compared with Informatica PowerCenter, Oracle GoldenGate, Azure Data Factory, SSIS and Qlik Replicate, whereas StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and Oracle GoldenGate. See our Informatica PowerExchange vs. StreamSets report.
See our list of best Data Integration vendors.
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.
