
DataMatch Enterprise
6.8#4 in data deduplication softwareWebAPILinuxSelf-hosted
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| Fact | DataMatch Enterprise | Tilores |
|---|---|---|
| Deployment | The 2026 release ships as a Docker container that runs on Linux, on-premises infrastructure or cloud environments. | Tilores offers managed AWS, deployment in a customer's AWS account or another cloud, and on-premise deployment. |
| Founded | 2006 | 2021 |
| Headquarters | 68 Bridge St Suite 307, Suffield, CT 06078, United States | Berlin, Germany |
| Intended users | The maker describes its visual interface as intended for business users, IT specialists, data analysts and scientists, and novice users. | The company describes Tilores as infrastructure for developers and presents use cases including fraud, compliance, Customer 360, and AI. |
| Licence | Data Ladder describes its matching technology as proprietary and presents the product as a commercial quoted offering; no open-source licence is stated. | The commercial software licence grants limited internal object-code rights and prohibits modification, reverse engineering, sublicensing or offering it as a hosted service without permission. |
| Matching | It supports phonetic, numeric, domain-specific, and fuzzy matching, with tunable algorithm levels and weights. | The platform combines deterministic rules and fuzzy matching, with explainable links, a quality score, and an audit trail. |
| Purpose | DataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources. | Tilores resolves duplicate and conflicting records across systems into unified entity profiles in real time. |
| Rating on G2 | 4.2 out of 5 from 27 reviews | Tilores scores 4.7 out of 5 from 30 reviews. |
DataMatch Enterprise suits business users, IT specialists, analysts, and scientists working with data quality and duplicate records. It can also fit teams that need address verification or API-based matching in custom projects.
Tilores suits developers building systems for fraud, compliance, Customer 360, or AI workflows. Its local Studio mode may suit those evaluating entity matching on a computer, while production buyers can choose among cloud and on-premise deployment options.