We performed a comparison between AWS Data Pipeline [EOL] and Talend Stitch ETL 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."The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."
"It is a stable solution...It is a scalable solution."
"The most valuable feature of Stitch for us is ease of use. This solution is fire-and-forget. All an organization has to do is set up the connection or integration and move on."
"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."
"The user-defined functions have shortcomings in AWS Data Pipeline."
"Generally speaking, support is a pain point. In the next release, I would love to see a change in support from the current chat to a more comprehensive portal."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Talend Stitch ETL is ranked 16th in Cloud Data Integration with 1 review. AWS Data Pipeline [EOL] is rated 8.0, while Talend Stitch ETL is rated 9.0. 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 Talend Stitch ETL writes "Fire-and-forget solution with a great infrastructure". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Talend Stitch ETL is most compared with Talend Open Studio and AWS Glue.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
