We performed a comparison between AWS Glue and Informatica Enterprise Data Catalog based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."
"What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."
"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."
"It is a stable and scalable solution."
"AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."
"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"We have found it beneficial when moving data from one source to another."
"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"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."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The solution scales well."
"We can scan anything."
"I rate the technical support a ten out of ten."
"Offers data lineage feature"
"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."
"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."
"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."
"In terms of improvement, the performance of AWS Glue could be faster."
"While working on AWS Glue, I could not find any training material for it."
"The mapping area and the use of the data catalog from Glue could be better."
"It is not clear how the partition discovery would have been affected by more data coming in."
"The solution could be cheaper. The price of the solution is an area that needs improvement."
"I would like to see stable libraries at the moment they are not there."
"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 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."
"The scalability is tough."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"The UI is extremely complex"
"IEDC can improve the comparison of lineages."
"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."
"Currently, there are limitations in processing and the interface."
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AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 14 reviews. AWS Glue is rated 7.8, while Informatica Enterprise Data Catalog is rated 7.6. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". 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". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Informatica Cloud Data Integration, SSIS and SAP Data Services, whereas Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, Informatica PowerCenter, Denodo and Palantir Foundry. See our AWS Glue vs. Informatica Enterprise Data Catalog report.
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