Data Lens vs DataMatch Enterprise
Data Lens
matchbookai.com
DataMatch Enterprise
dataladder.comSide by side
| Figure | Data Lens | DataMatch Enterprise |
|---|---|---|
| Price from | $1,250/mo | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 3 |
| Spec score · Customer Data Quality Software | 8.1 (#11) | 8.7 (#2) |
| Founded | 2018 | 2006 |
| Headquarters | Santa Monica, California, United States | 68 Bridge St Suite 307, Suffield, CT 06078, United States |
| Intended users | The page identifies Revenue Operations teams, CRM implementation partners, migration teams, and Sales, Marketing and RevOps leaders as intended users. | The maker describes its visual interface as intended for business users, IT specialists, data analysts and scientists, and novice users. |
| Matching | It matches Contacts and Companies using confidence-scored logic, applies survivorship rules and automatically updates Deal associations after merges. | It supports phonetic, numeric, domain-specific, and fuzzy matching, with tunable algorithm levels and weights. |
| Purpose | Data Lens audits, cleanses, normalises and deduplicates CRM data. | DataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources. |
| Support | The company offers a demo and lists [email protected] and (310) 643-4596 for contact. | The product page lists [email protected] and +1 (888) 779 6578 as contact details. |
Plans
Data Lens
- Tier 1 — Basic Access (Annual Partner Fee)$15,000 a year
- Tier 2 — Managed Data Lens (Annual Partner Fee)Priced on request
DataMatch Enterprise
- DataMatch EnterprisePriced on request
- DataMatch Enterprise + Address VerificationPriced on request
- DataMatch Enterprise + APIPriced on request
In their own words
Data Lens
Data Lens has no write-up on Specifiction yet; its figures are above.
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.