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."We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"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."
"It's fairly straightforward as a product; it's not very complicated."
"AWS Glue's best features are scalability and cloud-based features."
"It is a stable and scalable solution."
"It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly."
"AWS Glue is a stable and easy-to-use solution."
"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 way that the solution scans is very useful."
"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."
"I rate the technical support a ten out of ten."
"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."
"The solution scales well."
"We can scan anything."
"The product seems stable enough."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"There should be more connectors for different databases."
"AWS Glue is more costly compared to other tools like Airflow."
"It is not clear how the partition discovery would have been affected by more data coming in."
"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."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"The solution should offer features for streaming data in addition to batching data."
"Only people who can code, either in Java or Python, can use the product freely. Those who don't know Java or Python might find using AWS Glue difficult."
"While working on AWS Glue, I could not find any training material for it."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"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."
"It is not easy to set up and configure the tool."
"Currently, there are limitations in processing and the interface."
"The scalability is tough."
"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."
"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 UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
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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 13 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, SSIS, Informatica Cloud Data Integration 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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