We performed a comparison between AWS Data Pipeline [EOL] and IBM InfoSphere DataStage 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."
"The product is easy to deploy."
"The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need."
"I am impressed with the tool's ETL tracing."
"The solution is very easy to use."
"The best feature of IBM InfoSphere DataStage for me was that it was very much user-friendly. The solution didn't require that much raw coding because most of its features were drag and drop, plus it had a large number of functionalities."
"The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes."
"Once you have Infosphere up and running properly, it is stable."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"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 template mapping could be easier."
"The error messaging needs to be improved."
"The interface needs work to be more user-friendly."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component."
"I want the tool to continue with the on-prem version, not the cloud one."
"The solution can be a bit more user-friendly, similar to Informatica."
"In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. AWS Data Pipeline [EOL] is rated 8.0, while IBM InfoSphere DataStage is rated 7.8. 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 IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and IBM Cloud Pak for Integration, whereas IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter. See our AWS Data Pipeline [EOL] vs. IBM InfoSphere DataStage report.
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