We performed a comparison between AWS Data Pipeline [EOL] and Oracle Data Integrator (ODI) 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."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."
"Easy to understand, very developer-friendly, and has a big forum community and lots of documentation for support."
"It's completely user-friendly."
"ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules."
"It's scalable."
"The scalability is great. It's one of the reasons we chose the solution."
"What I found most valuable in Oracle Data Integrator (ODI) is that it integrates well with almost all technologies currently being used in my company."
"The most valuable feature that we use is the Knowledge Modules."
"ODI's most valuable features are it utilizes the database engine and is very lightweight."
"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."
"It lacks a suite of tools suitable for fully processing data and moving it into decision support warehouses."
"There are certain things where it can be improved. Initial solution setup seems a bit complex at the start, it should be improved because it becomes bit tough for a novice to get started on this. Sometimes error description is not helpful to understand the problem it gives some generic type of errors which are at times not that helpful to understand the underlying root cause of the issue."
"An area for improvement in Oracle Data Integrator (ODI) is real-time integration. Currently, my company has a workaround to implement real-time integration, an area on which Oracle must focus more. Real-time integration should be easier in Oracle Data Integrator (ODI). Another area for improvement in Oracle Data Integrator (ODI) is integration with more publishers and subscribers rather than just database integrations."
"The stability of the software could be improved. Sometimes, the software just crashes. "
"If you have something like Cisco on top of it, you will have endless problems."
"Technical Support could be better."
"The initial setup is complex, especially if you also have to install a console."
"It needs easier security."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews. AWS Data Pipeline [EOL] is rated 8.0, while Oracle Data Integrator (ODI) is rated 8.2. 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 Data Integrator (ODI) writes "Straightforward to implement, scalable, and has good stability and documentation, but technical support could still be improved". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, FME, Perspectium DataSync and IBM InfoSphere DataStage, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, SSIS, Informatica PowerCenter, Azure Data Factory and Oracle GoldenGate. See our AWS Data Pipeline [EOL] vs. Oracle Data Integrator (ODI) report.
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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.