DataMatch Enterprise vs OneMerge
DataMatch Enterprise
dataladder.comOneMerge
onemerge.co.ukSide by side
| Figure | DataMatch Enterprise | OneMerge |
|---|---|---|
| Price from | — | $45/mo |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 3 | 2 |
| Spec score · Data Deduplication Software | 8.8 (#1) | 7.7 (#21) |
| Headquarters | 68 Bridge St Suite 307, Suffield, CT 06078, United States | Newcastle upon Tyne, United Kingdom |
| Intended users | The maker describes its visual interface as intended for business users, IT specialists, data analysts and scientists, and novice users. | The product information identifies Salesforce administrators, architects, CRM operations teams, RevOps and sales operations teams, and data stewards as intended audiences. |
| Purpose | DataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources. | OneMerge extends Salesforce Duplicate Management by automating duplicate record resolution. |
| Security | The product page describes DataMatch Enterprise as certified for security, quality, compliance, and code integrity, without naming the certifications in its text. | OneMerge runs within the customer’s Salesforce org, does not store or access Salesforce data, and has undergone Salesforce security reviews as a certified managed package. |
| Support | The product page lists [email protected] and +1 (888) 779 6578 as contact details. | All customers receive a complimentary QuickStart session, and OneMerge provides support articles and training modules. |
Plans
DataMatch Enterprise
- DataMatch EnterprisePriced on request
- DataMatch Enterprise + Address VerificationPriced on request
- DataMatch Enterprise + APIPriced on request
In their own words
DataMatch Enterprise
DataMatch Enterprise is a code-free toolkit for profiling, cleansing, matching, and deduplicating data from multiple sources. Its profiling tools identify quality problems and help surface where data may need cleansing, standardization, matching, or deduplication. Matching methods include phonetic, numeric, domain-specific, and fuzzy approaches, with adjustable algorithm levels and weights. An address module verifies and corrects mailing addresses, fills missing details, and adds ZIP+4 geocoding information. A REST API makes cleansing and matching functions available to custom projects. The containerized release can run on Linux, on-premises infrastructure, or in the cloud; listed platforms also include web and Windows. Visual entity graphs support review of matched groups from a particular run, rather than persistent identity graphs across batches. The maker describes the interface as intended for business users, IT specialists, data analysts and scientists, and novice users. The product is paid, with pricing on request; a free trial is available, but there is no free plan.