We performed a comparison between Informatica Enterprise Data Catalog and SAS Data Management 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 way that the solution scans is very useful."
"We can scan anything."
"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 solution scales well."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"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 product seems stable enough."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The technical support is excellent."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"The product offers very good flexibility."
"If you compare it to SQL, the memory and development times are very quick."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"I am impressed with the tool's ability to customize."
"This is an established product with powerful data analysis and varied options for user entry points."
"It is not easy to set up and configure the tool."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"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."
"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 solution is quite expensive."
"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."
"IEDC can improve the comparison of lineages."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"The solution is quite expensive and hard to install/configure."
"The solution could use better documentation."
"I would like the tool to include the ability to automate the modifications of the integrations."
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Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. Informatica Enterprise Data Catalog is rated 7.6, while SAS Data Management is rated 8.4. The top reviewer of Informatica Enterprise Data Catalog writes "Great metadata management with more visibility and great technical support". On the other hand, the top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and IBM Cloud Pak for Data. See our Informatica Enterprise Data Catalog vs. SAS Data Management report.
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