We performed a comparison between AWS Data Pipeline [EOL] and Dataloader.io 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."
"he product’s most valuable feature is ease of access."
"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."
"We need help with large data migrations. It only works well for a few thousand records or less than a million records."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Dataloader.io is ranked 39th in Data Integration with 1 review. AWS Data Pipeline [EOL] is rated 8.0, while Dataloader.io is rated 8.0. 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 Dataloader.io writes "Provides an ease of access and an automated mapping feature". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Dataloader.io is most compared with DBamp, Mule Anypoint Platform and BMC Data Management for IMS and DB2 on zOS.
See our list of best Cloud Data Integration vendors.
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