Key Differentiator: Functionalities
| Facets | uArrow Data Quality | Competitors |
|---|---|---|
| Pushdown technique | DQ rules are fine tuned by the target warehouse | Irrespective of any database all the data pulled from the DB into informatica memory, process it and load back the data. |
| Performance | Very fast due to pushdown technique | you need to integrate IDQ jobs with power center to get the performance |
| Jira Integration | available | Not available |
| Uploading & Executing SQL rules | available | Not available |
| Integrity check, functional check , Composite primary key check |
available | Not available |
| Ease of use | 1.Single interface to define and run DQ
2.Business analyst with minimal SQL knowledge can create and run DQ |
1.Multiple interfaces like MRS,DIS,CMS & ANS
2.You need Technical people to create and run the DQ jobs. 3.You need to be familiar with informatica syntax and functions |
| Rule transparency | Single screen to capture and view all the rules/output | Need to go though multiple screens |
| Dashboard functionality | Have a detailed dashboard with download option for Data profiling and Data quality rules | There is no dashboard, but tabular report is available |