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 most valuable feature is the ability to transfer information via notes."
"We can view what we want to do. We can transform data and put them on tables."
"The solution is very easy to use."
"It is quite useful and powerful."
"Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good."
"I am impressed with the tool's ETL tracing."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable."
"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."
"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."
"There could be more customization options for the product."
"The interface needs improvement. It is really too technical. That is the main problem."
"The error messaging needs to be improved."
"The solution can be a bit more user-friendly, similar to Informatica."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions."
"The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."
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 Fivetran, 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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