We performed a comparison between AWS Data Pipeline [EOL] and Oracle Big Data SQL 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."
"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."
"The user interface is really user-friendly and intuitive."
"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."
"The solution could improve by adding more advanced features."
"There is room for improvement in the pricing."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Oracle Big Data SQL is ranked 17th in Cloud Data Integration with 2 reviews. AWS Data Pipeline [EOL] is rated 8.0, while Oracle Big Data SQL is rated 8.6. 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 Oracle Big Data SQL writes "Offers good scalability, strong stability and seamless integration ". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Oracle Big Data SQL is most compared with Palantir Foundry and Oracle Data Integrator (ODI).
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.
