DQE One Unify vs Infosys Data Workbench
DQE One Unify
dqe.techInfosys Data Workbench
infosys.comSide by side
| Figure | DQE One Unify | Infosys Data Workbench |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · Data Cleansing Software | 7.9 (#10) | 7.2 (#22) |
| Deployment | The engine can run on company platforms or AWS, Azure, GCP, and Heroku; a SaaS option hosts curative processing in DQE’s cloud. | The brochure describes a web-based interface, cloud-ready deployment, and automated installation scripts for multiple platforms. |
| Processing | Duplicate supports batch processing, and Unify also supports real-time processing. | Its AI-powered core supports large-scale data quality operations, and its Apache Spark core supports high-speed analysis at scale. |
| Purpose | Unify identifies, merges, and prevents duplicate contacts and accounts across customer databases. | Infosys Data Workbench (iDW) is a scalable data quality solution with lightweight analytical master data management capabilities. |
| Security | DQE says it is ISO 27001-certified and processes data in certified datacenters that have undergone security audits. | The brochure lists LDAP authentication, single sign-on, and role-based authorization as enabled security capabilities. |
Plans
In their own words
DQE One Unify
DQE One Unify identifies, merges, and helps prevent duplicate contacts and accounts across customer databases. Duplicate handles existing records in bulk, while Look-Up checks for an existing contact before a new record is created. Processing can be batch or real time, and the engine can run on company platforms or AWS, Azure, GCP, and Heroku. A SaaS option hosts curative processing in DQE’s cloud. For deployments in a customer’s environment, DQE says information is processed there and does not leave the customer’s IT system. The Data Stewardship interface is available in Salesforce through AppExchange, and API access is supported. A free 30-day trial is available, with limits of 200,000 database records, the first 20 duplicate groups in visualization, and the first 20 records for standardization. DQE describes the product for technical, sales, and marketing departments, including projects involving tens of millions of records. Pricing is on request.
Infosys Data Workbench
Infosys Data Workbench (iDW) combines large-scale data quality operations with lightweight analytical master data management. Its AI-powered core supports data-quality processing, while an Apache Spark core supports high-speed analysis at scale. Users can profile data with machine-learning models, review interactive reports, and validate complex business rules. Cleansing and standardization tools include machine-learning-based enrichment, outlier detection, clustering, and filtering. Master-data functions cover de-duplication, linking, grouping, golden-record generation, and identity resolution.
The product works with JDBC-compliant databases and files, including fixed-width, delimited, and Excel formats. Deployment options include standalone or cluster execution, a web interface, and cloud-ready installation; the listed environments include Windows, Linux/Unix, Azure, and AWS. Jobs can run once or recur, with results in dashboards or downloadable PDF and Excel reports. Infosys lists LDAP authentication, single sign-on, and role-based authorization. Pricing is on request, and Infosys directs interested organizations to its request-for-services form.