We performed a comparison between IBM InfoSphere DataStage and SAS Data Management 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."DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"It's a robust solution."
"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."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"We can view what we want to do. We can transform data and put them on tables."
"The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed."
"The solution has improved the time it takes to perform tasks related to batch applications."
"The most valuable feature is the product's versatility to inject data."
"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."
"I am impressed with the tool's ability to customize."
"The product offers very good flexibility."
"The tool is reliable, quick, and powerful."
"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."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"This is an established product with powerful data analysis and varied options for user entry points."
"The technical support is excellent."
"In the future, I would like to see more integration with cloud technologies."
"Working with some of the big data components is good, but I can see improvements are needed."
"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 interface needs improvement. It is really too technical. That is the main problem."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers."
"The solution should be more user-friendly."
"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."
"I would like the tool to include the ability to automate the modifications of the integrations."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"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."
"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."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"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."
"The solution could use better documentation."
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 Data Governance, SSIS and Collibra Governance. See our IBM InfoSphere DataStage vs. SAS Data Management report.
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