We performed a comparison between IBM InfoSphere DataStage and SAS Data Integration Server based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"The Hierarchical Data Stage is good."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"I am impressed with the tool's ETL tracing."
"Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"The solution is very stable."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution offers very good data manipulation and loading."
"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"The interface needs improvement. It is really too technical. That is the main problem."
"It would be useful to provide support for Python, AR, and Java."
"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."
"The pricing should be lower."
"It would be great if they can include some basic version of data quality checking features."
"In the future, I would like to see more integration with cloud technologies."
"The transform tool has limited access. They should make it more flexible."
"The initial setup of SAS Data Integration Server was complex."
"So I would like to see improved integration with other software."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. IBM InfoSphere DataStage is rated 7.8, while SAS Data Integration Server is rated 7.4. 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". On the other hand, the top reviewer of SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), Azure Data Factory and AWS Glue. See our IBM InfoSphere DataStage vs. SAS Data Integration Server report.
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