We performed a comparison between Informatica Enterprise Data Catalog and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out in this report how the two Metadata Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The metadata management of Informatica is great."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"We can scan anything."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"The solution scales well."
"The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"The product seems stable enough."
"We're using the PDI and the repository function, and they give us the ability to easily generate reporting and output, and to access data. We also like the ability to schedule."
"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"Its drag-and-drop interface lets me and my team implement all the solutions that we need in our company very quickly. It's a very good tool for that."
"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."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."
"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."
"IEDC can improve the comparison of lineages."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"The solution is quite expensive."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"The UI is extremely complex"
"The scalability is tough."
"I would like to see improvements made for real-time data processing."
"The testing and quality could really improve. Every time that there is a major release, we are very nervous about what is going to get broken. We have had a lot of experience with that, as even the latest one was broken. Some basic things get broken. That doesn't look good for Hitachi at all. If there is one place I would advise them to spend some money and do some effort, it is with the quality. It is not that hard to start putting in some unit tests so basic things don't get broken when they do a new release. That just looks horrible, especially for an organization like Hitachi."
"The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet."
"The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case, it's hard to find a way to execute step by step in the debugging mode."
"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."
"The product needs more plugins."
"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
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Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 14 reviews while Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 49 reviews. Informatica Enterprise Data Catalog is rated 7.6, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Informatica Enterprise Data Catalog writes "They listen to their customers, so if something is missing or not working, they will put it on their roadmap". 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 Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo, whereas Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue. See our Informatica Enterprise Data Catalog vs. Pentaho Data Integration and Analytics report.
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