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."We use Informatica PowerCenter to transfer the transitional database to and from the data warehouse. This is very efficient as it enables us to quickly find our data reports and the data, so we can build AI models."
"It is easy to use, and it is quick for developing things. It is fairly powerful, and it can integrate with a lot of different platforms without much hassle."
"It's a complete package, which is why we use this solution."
"Informatica PowerCenter has good user feedback. The developers can easily make mappings in the solution."
"What I like the most is that we have to deal with less while writing the queries."
"The number of docs has been reduced drastically, which is very good."
"It provides monitoring and we can therefore be aware of what is happening when we are handling jobs."
"The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness."
"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."
"The UI is user-friendly, it doesn't require any technical know-how and we can navigate to social media or use it more easily."
"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."
"Important features include that it comprises lots of functionality to connect data from various sources through connector availability, scheduling pipelines at any time, and integration with third-party and security solutions for encryption."
"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."
"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."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"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."
"Lacks ability to calculate cost of the product."
"The real-time database connectivity when getting the real-time data using the VPN is an area that needs improvement."
"Informatica, in my opinion, is very rigid and not very flexible, whereas platforms like Alteryx or Matillion are very flexible and agile."
"The UI is outdated and old-fashioned, at least in our current version. Also, we have experienced some stability issues with the Workflow Monitor application."
"Informatica PowerCenter is outdated and would benefit from modernization. They should have a very good migration strategy from Informatica PowerCenter to AACF. Informatica PowerCenter there is no point in using it, you have to use a cloud version."
"The UI is a little outdated."
"Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers."
"I would like to see it be able to import data from NoSQL."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"Using ETL pipelines is a bit complicated and requires some technical aid."
"Visualization and monitoring need to be improved and refined."
"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."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"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."
"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."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
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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