We performed a comparison between IBM InfoSphere DataStage and SAS Data Management based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The solution has improved the time it takes to perform tasks related to batch applications."
"The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed."
"When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"I am impressed with the tool's ETL tracing."
"We can view what we want to do. We can transform data and put them on tables."
"The solution is stable."
"It's a robust solution."
"The product offers very good flexibility."
"I am impressed with the tool's ability to customize."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"This is an established product with powerful data analysis and varied options for user entry points."
"The technical support is excellent."
"If you compare it to SQL, the memory and development times are very quick."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"The tool is reliable, quick, and powerful."
"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 solution should be more user-friendly."
"It takes a lot of time to actually trigger your job and then go into the logs and other stuff. So all of this is really time-consuming."
"It would be great if they can include some basic version of data quality checking features."
"The interface needs work to be more user-friendly."
"The initial setup can be complex."
"We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great."
"The interface needs improvement. It is really too technical. That is the main problem."
"The solution could use better documentation."
"I would like the tool to include the ability to automate the modifications of the integrations."
"The solution is quite expensive and hard to install/configure."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. IBM InfoSphere DataStage is rated 7.8, while SAS Data Management is rated 8.4. 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 Management writes "A scalable solution with customer support that is responsive and diligent". IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, Palantir Foundry and SSIS.
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