CleanSmart vs DataMatch Enterprise
CleanSmart
cleansmartlabs.comDataMatch Enterprise
dataladder.comSide by side
| Figure | CleanSmart | DataMatch Enterprise |
|---|---|---|
| Price from | $59/mo | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 3 |
| Spec score · Customer Data Quality Software | 8.2 (#6) | 8.7 (#2) |
| Spec score · Data Cleansing Software | 8.1 (#8) | 8.7 (#5) |
| Headquarters | United States | 68 Bridge St Suite 307, Suffield, CT 06078, United States |
| Intended users | CleanSmart describes its intended users as marketing, sales, and revenue operations staff at small and mid-sized companies. | The maker describes its visual interface as intended for business users, IT specialists, data analysts and scientists, and novice users. |
| Support | The help center says the team aims to reply within one business day and monitors in-app chat during business hours for urgent active-run issues. | The product page lists [email protected] and +1 (888) 779 6578 as contact details. |
Plans
DataMatch Enterprise
- DataMatch EnterprisePriced on request
- DataMatch Enterprise + Address VerificationPriced on request
- DataMatch Enterprise + APIPriced on request
In their own words
CleanSmart
CleanSmart 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.