Pritam VidulkarSenior Associate at Cognizant Technology pvt. Ltd.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The way that the solution scans is very useful."
"This is an established product with powerful data analysis and varied options for user entry points."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"If you compare it to SQL, the memory and development times are very quick."
"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."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"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."
"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."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"The solution could use better documentation."
"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
Earn 20 points
Informatica Enterprise Information Catalog provides a machine-learning-based discovery engine to collect data assets across the enterprise while increasing the understanding of those data assets through a graph-based enterprise information catalog. Powered by Informatica’s unique metadata services engine, Enterprise Information Catalog enables business analysts and data stewards to find all types of data across the enterprise; discover relationships among them; enrich data with business glossary terms and crowdsourced annotations; and understand the provenance, quality, and usage of their data.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
Informatica Enterprise Data Catalog is ranked 2nd in Metadata Management with 1 review while SAS Data Management is ranked 10th in Data Integration Tools with 6 reviews. Informatica Enterprise Data Catalog is rated 5.0, while SAS Data Management is rated 8.6. The top reviewer of Informatica Enterprise Data Catalog writes "Difficult initial setup and needs better support for data discovery but has an excellent data profiler". On the other hand, the top reviewer of SAS Data Management writes "One-stop-shop solution for sorting, categorizing and summarizing your data". Informatica Enterprise Data Catalog is most compared with Collibra Catalog, AWS Glue, Azure Data Factory, Denodo and Informatica PowerCenter, whereas SAS Data Management is most compared with Informatica PowerCenter, Palantir Gotham, SAP Data Services, Informatica Axon and Collibra Governance.
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