We performed a comparison between IBM InfoSphere DataStage and Informatica Enterprise Data Catalog 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."IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"The concept of integration is a valuable feature of the product."
"The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable."
"The solution is very easy to use."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"It's a robust solution."
"In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table."
"The way that the solution scans is very useful."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"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 metadata management of Informatica is great."
"The product seems stable enough."
"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."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"We can scan anything."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."
"I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers."
"It would be useful to provide support for Python, AR, and Java."
"The template mapping could be easier."
"Improvements for DataStage could include better integration with modern data sources like cloud solutions and documents, along with enhancing its capability to handle non-structured data."
"I want the tool to continue with the on-prem version, not the cloud one."
"The pricing should be lower."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"The scalability is tough."
"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."
"The solution is quite expensive."
"It is not easy to set up and configure the tool."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"IEDC can improve the comparison of lineages."
"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."
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IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews. IBM InfoSphere DataStage is rated 7.8, while Informatica Enterprise Data Catalog is rated 7.6. The top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". On the other hand, the top reviewer of Informatica Enterprise Data Catalog writes "Great metadata management with more visibility and great technical support". IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo. See our IBM InfoSphere DataStage vs. Informatica Enterprise Data Catalog report.
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