We performed a comparison between AWS Data Pipeline [EOL] and Informatica Enterprise Data Lake based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."It is a stable solution...It is a scalable solution."
"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."
"The process of using the tool's scalability option is well documented."
"The user-defined functions have shortcomings in AWS Data Pipeline."
"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
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AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review. AWS Data Pipeline [EOL] is rated 8.0, while Informatica Enterprise Data Lake is rated 7.0. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, the top reviewer of Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry.
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