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."The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable."
"ETL is the most valuable feature."
"Offers great flexibility."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"It is quite useful and powerful."
"The most valuable feature is the data integration for data warehousing."
"The most valuable feature is the product's versatility to inject data."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"The product seems stable enough."
"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 way that the solution scans is very useful."
"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."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The solution scales well."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"The response time from support is slow and needs to be improved."
"The pricing should be lower."
"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."
"The interface needs improvement."
"Working with some of the big data components is good, but I can see improvements are needed."
"The error messaging needs to be improved."
"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."
"The solution can be a bit more user-friendly, similar to Informatica."
"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."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"It is not easy to set up and configure the tool."
"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."
"IEDC can improve the comparison of lineages."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"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."
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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 "They listen to their customers, so if something is missing or not working, they will put it on their roadmap". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, 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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