DataGroomr vs Tilores
DataGroomr
datagroomr.com
Tilores
tilores.ioSide by side
| Figure | DataGroomr | Tilores |
|---|---|---|
| Price from | $33.25/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 4 |
| Spec score · Data Deduplication Software | 8.3 (#4) | 8.3 (#5) |
| Headquarters | Charlotte, North Carolina, United States | Berlin, Germany |
| Support | Every plan includes support from real people by email or phone plus help articles and video tutorials. | Production quotes can scope support from standard technical support to a dedicated customer success engineer. |
Plans
DataGroomr
- Micro$399 a year
- Professional$3,995 a year
- EnterprisePriced on request
- StandardPriced on request
Tilores
- Tilores StudioFree
- Tilores Studio Local ModeFree
- Production TiloresPriced on request
- Tilores ProductionPriced on request
In their own words
DataGroomr
DataGroomr has no write-up on Specifiction yet; its figures are above.
Tilores
Tilores resolves duplicate and conflicting records into unified entity profiles in real time. It maps, normalizes, and enriches fields such as names, phone numbers, and addresses before applying deterministic rules and fuzzy matching. Results can include explainable links, a quality score, and an audit trail. A real-time GraphQL API supports entity retrieval, ranked fuzzy searches, and aggregation of source records. Listed connectors include Salesforce, HubSpot, and Snowflake, alongside webhooks and event streaming. Deployment options include managed AWS, a customer's AWS account or another cloud, and on-premise installations. Developers can connect entity resolution to LangChain and Amazon Bedrock through IdentityRAG; the company says it works with any LLM through LangChain. Tilores Studio runs locally on macOS Apple Silicon, Windows x64, or Linux x86_64, storing data on the user's computer. Its free local mode allows up to 100,000 records per deployment. Production pricing is by custom quote, based on data volume, deployment, service requirements, and support.