dedupe vs DQE One Unify
dedupe
github.comDQE One Unify
dqe.techSide by side
| Figure | dedupe | DQE One Unify |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Data Deduplication Software | 7.9 (#12) | 7.9 (#13) |
| Compliance | The former service's FAQ states that Dedupe.io was certified FERPA compliant as of July 2019. | DQE states its headquarters are in France and that its data protection and confidentiality practices follow GDPR requirements. |
| Headquarters | Chicago, Illinois, United States | Levallois-Perret, France |
| Intended users | The maintainers describe the library as suitable for integration into applications or import scripts, while the former Dedupe.io service was designed as an online tool for non-developers. | DQE describes DQE One as serving technical, sales, and marketing departments, and says it supports projects involving tens of millions of records. |
| Support | The library documentation directs bug reports to GitHub Issues and lists a mailing list for users. | DQE describes technical server supervision as 24/7 and functional support as available on working days from 8 a.m. to 6 p.m. |
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.