We performed a comparison between Informatica PowerCenter and Pentaho Data Integration and Analytics 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."Informatica PowerCenter is a very good ETL tool."
"Reusable definition of data sources and the out-of-the-box availability of a large number maplets for common transformation functions."
"The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand."
"UI-based ability to create data mapping."
"I found the map links, work links, and workflows valuable. They are important features."
"It provides monitoring and we can therefore be aware of what is happening when we are handling jobs."
"It is an excellent ETL tool."
"PowerCenter performs well during data transformation and optimization."
"The graphical nature of the development interface is most useful because we've got people with quite mixed skills in the team. We've got some very junior, apprentice-level people, and we've got support analysts who don't have an IT background. It allows us to have quite complicated data flows and embed logic in them. Rather than having to troll through lines and lines of code and try and work out what it's doing, you get a visual representation, which makes it quite easy for people with mixed skills to support and maintain the product. That's one side of it."
"It's very simple compared to other products out there."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming."
"I can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."
"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."
"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."
"It makes it pretty simple to do some fairly complicated things. Both I and some of our other BI developers have made stabs at using, for example, SQL Server Integration Services, and we found them a little bit frustrating compared to Data Integration. So, its ease of use is right up there."
"The reputation of Informatica is that it is expensive."
"What I didn't like about it is that the platform itself is not great at distributed processing. When you need high parallel processing, it has some inherent issues. We had to use Java transformation, and it did not go very well. I have heard that it is going to the cloud, but we haven't tried that."
"The pricing could be improved."
"I would like to see improvements made to the custom transformations. It should be more open for users that want to write their own code and use cases."
"The developer tool documentation can be enhanced with a more clear explanation of each utility, accompanied by relevant examples, so that developers are able to create programs with ease."
"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."
"This product is going to decommission in the next couple of years."
"The solution must improve the integration with new services."
"I would like to see improvement when it comes to integrating structured data with text data or anything that is unstructured. Sometimes we get all kinds of different files that we need to integrate into the warehouse."
"I would like to see improvements made for real-time data processing."
"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."
"Some of the scheduling features about Lumada drive me buggy. The one issue that always drives me up the wall is when Daylight Savings Time changes. It doesn't take that into account elegantly. Every time it changes, I have to do something. It's not a big deal, but it's annoying."
"The product needs more plugins."
"As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows."
"One thing that I don't like, just a little, is the backward compatibility."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
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Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews. Informatica PowerCenter is rated 8.0, while Pentaho Data Integration and Analytics is rated 8.0. 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 Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio, Oracle Data Integrator (ODI) and IBM InfoSphere DataStage. See our Informatica PowerCenter vs. Pentaho Data Integration and Analytics report.
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