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- IBM Infosphere-vs-SAS Data Quality
Compare IBM InfoSphere Information Server and SAS Data Quality 
- Users report that IBM InfoSphere Information Server excels in data integration capabilities, particularly with its robust Data Matching feature, which received a high identification score of 8.8, indicating strong performance in linking related data across different sources.
- Reviewers mention that SAS Data Quality shines in ease of setup, scoring 8.3, which is notably higher than IBM's score of 7.2, making it a more user-friendly option for organizations looking to implement data quality solutions quickly.
- G2 users highlight the superior quality of support for SAS Data Quality, with a score of 7.8 compared to IBM's 7.1, suggesting that users may find more responsive assistance and resources when encountering issues.
- Users on G2 indicate that IBM InfoSphere Information Server has a more comprehensive Preventative Cleaning feature, scoring 8.3, which helps organizations proactively maintain data quality, while SAS Data Quality's score in this area is lower.
- Reviewers say that SAS Data Quality offers better automation capabilities, with a score of 8.2, which can significantly enhance operational efficiency compared to IBM InfoSphere's matching score.
- Users report that IBM InfoSphere Information Server has a more favorable product direction score of 5.7, suggesting that users feel more optimistic about its future development compared to SAS Data Quality's score of 6.9.
IBM InfoSphere offers tools to build integration hubs and services for large scale enterprises. Datastage and Quality step is a competitive ETL/MDM solution and is comparable to informatica. The performance and ease of creating multinode jobs to improve...
performance and structure issues plus integration with other IBM products
Being one of the best BI tools, this tool helps in a wide range of approaches for Business solutions and data-related operations. It helps in Processing the data efficiently and providing the desired outcome and solutions.
SAS software, including SAS Data Quality, can be relatively expensive, and this may be a consideration for smaller businesses or organizations with budget constraints. when a new user looking to learn the tool there is not a wide variety of support...
IBM InfoSphere offers tools to build integration hubs and services for large scale enterprises. Datastage and Quality step is a competitive ETL/MDM solution and is comparable to informatica. The performance and ease of creating multinode jobs to improve...
Being one of the best BI tools, this tool helps in a wide range of approaches for Business solutions and data-related operations. It helps in Processing the data efficiently and providing the desired outcome and solutions.
performance and structure issues plus integration with other IBM products
SAS software, including SAS Data Quality, can be relatively expensive, and this may be a consideration for smaller businesses or organizations with budget constraints. when a new user looking to learn the tool there is not a wide variety of support...
