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."It works with multiple servers and offers high availability."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"The solution is very easy to use."
"The Hierarchical Data Stage is good."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"Finding logs is very easy on the solution."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"It is quite useful and powerful."
"If you compare it to SQL, the memory and development times are very quick."
"This is an established product with powerful data analysis and varied options for user entry points."
"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 product offers very good flexibility."
"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 technical support is excellent."
"I am impressed with the tool's ability to customize."
"I want the tool to continue with the on-prem version, not the cloud one."
"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 pricing should be lower."
"The error messaging needs to be improved."
"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."
"The interface needs work to be more user-friendly."
"The response time from support is slow and needs to be improved."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"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."
"I would like the tool to include the ability to automate the modifications of the integrations."
"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 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."
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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