We performed a comparison between Informatica PowerCenter 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 setup is very simple."
"It has good standard features for ETL development."
"The most valuable features are the metadata repository and the data warehouse application console."
"The most valuable feature of Informatica PowerCenter is the flow designer functionally. It is the best out of any ETL tool. Additionally, the solution is reliable and trustable in dealing with large data sources anytime. When we're using billions of data transactions, it's smooth."
"The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed."
"Easy, scalable, robust platform to integrate heterogeneous source platform's data into the unified data warehouse."
"Good product if you are trying implement data quality, data integration, and data management projects."
"It is UI friendly and has all the advantages of an ETL tool."
"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 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."
"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."
"I really appreciate the numerous ready connectors available on both the source and target sides, the support for various media file formats, and the ease of configuring and managing pipelines centrally."
"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."
"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 is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution."
"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."
"As a connector to big data, it is not well developed. We've had problems connecting Informatica with Hadoop. The functionality to connect Informatica with Hadoop, for me it's not good."
"Some of the conversions are done inside the product. We use work tables that are created by the engine itself, but the names of the work tables are very long, and they don't have any meaning, which makes it a bit difficult to understand and follow exactly what is happening inside."
"The licensing is difficult."
"The solution can improve by providing more connectivity by having native ODBC or JDBC connections available. It will be easier and more people could start using it."
"It would be nice to have all tools in one place. CDC needs more effort, as it's only easy to develop if you are familiar with Linux."
"In the future, I would like to see Informatica PowerCenter integrate a more powerful dashboard."
"Informatica, in my opinion, is very rigid and not very flexible, whereas platforms like Alteryx or Matillion are very flexible and agile."
"The pricing could be improved."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"Using ETL pipelines is a bit complicated and requires some technical aid."
"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."
"I would like to see further improvement in the UI. In addition, upgrades are not automatic and they should be automated. Currently, we have to manually upgrade versions."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"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."
Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. Informatica PowerCenter is rated 8.0, while StreamSets is rated 8.4. The top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". 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 PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS and Databricks, whereas StreamSets is most compared with Fivetran, Azure Data Factory, SSIS, IBM InfoSphere DataStage and webMethods.io Integration. See our Informatica PowerCenter vs. StreamSets report.
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