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Timbr
What Timbr is
Timbr is an ontology-based semantic layer for enterprise AI and analytics. It creates a virtual knowledge graph over connected data sources, allowing teams to define business concepts, relationships, hierarchies, measures, and rules with SQL-native ontologies. These concepts map to existing data and can be queried across sources without moving or copying the underlying records. Listed connections include Snowflake, Databricks, BigQuery, PostgreSQL, MongoDB, and Salesforce, plus Power BI and Tableau. Timbr supports SQL and SPARQL, RDF/SPARQL, semantic reasoning, graph visualization, and OWL or CSV imports. For AI work, it offers GraphRAG, LangChain, and LangGraph SDKs and supports MCP server deployment. Plans run as Timbr-hosted cloud; Enterprise adds self-hosting, while on-premises deployment in a customer VPC or VPN is available by contacting Timbr. Timbr says customer data remains in the connected database. The Teams plan has no data virtualization; Business can use a customer Spark or Databricks engine, and Enterprise includes Timbr’s advanced engine.
Who it suits
Timbr suits data engineers and SQL users who need semantic models across enterprise sources. It also fits teams building AI or analytics workflows with graph and BI integrations.
What it does well
- SQL-native ontology modeling
- Queries data without copying it
- GraphRAG and LangChain SDKs
- Supports SQL and SPARQL
- OWL and CSV imports
What to know first
- No free plan
- Teams lacks data virtualization
- Enterprise self-hosting only
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Teams | Billed Monthly; yearly billing also available · 10 users · 5 data models · 4 data source connections · 5 concurrent queries · up to 5 million result sets per query | On request |
| Business | Billed Monthly; yearly billing also available · 20 users · 10 data models · 8 data source connections · 10 concurrent queries · up to 10 million result sets per query | On request |
| Enterprise | Request Quote · Customized to your needs · self-hosted option · advanced data virtualization engine | On request |
As timbr.ai lists them, read 4 Oct 2026. The maker's own page has the final word.
Verdict
Timbr combines semantic modeling, virtualized cross-source queries, and AI development integrations. Check plan limits carefully if data virtualization or self-hosting is required.
Facts from Timbr's own pages
- Access control
- The pricing page lists RBAC for Teams and RBAC plus SSO for Business, with Azure, Google, and OAuth 2.0 listed for SSO. · timbr.ai, 4 Oct 2026
- AI features
- Timbr offers GraphRAG, LangChain, and LangGraph SDKs and supports deployment through MCP servers. · timbr.ai, 4 Oct 2026
- Company
- The privacy policy identifies the maker as WP Semantix Ltd. (Timbr.ai), headquartered in Raanana, Israel. · timbr.ai, 4 Oct 2026
- Data residency
- Timbr says it does not store customer data, which remains in the connected database. · timbr.ai, 4 Oct 2026
- Deployment
- All plans are available as Timbr-hosted cloud, and Enterprise can also be self-hosted; on-premises deployment in a customer VPC or VPN is available by contacting Timbr. · timbr.ai, 4 Oct 2026
- Founded
- 2018 · timbr.ai, 28 Sept 2026
- Headquarters
- Raanana, Israel · timbr.ai, 28 Sept 2026
- Integrations
- The integration documentation lists data sources including Snowflake, Databricks, BigQuery, PostgreSQL, MongoDB, and Salesforce, plus BI tools such as Power BI and Tableau. · timbr.ai, 4 Oct 2026
- Plan limits
- Data virtualization is unavailable on Teams; Business customers can connect their own Spark or Databricks virtualization engine, while Enterprise includes Timbr’s advanced engine. · timbr.ai, 4 Oct 2026
- Product
- Timbr is an ontology-based semantic layer that creates a virtual knowledge graph over existing data sources for enterprise AI and analytics. · timbr.ai, 4 Oct 2026
- Semantic modeling
- Users can model business concepts, relationships, hierarchies, measures, and rules with SQL-native ontologies. · timbr.ai, 4 Oct 2026
- Support
- The pricing page lists contact form support for Teams and an account manager for Business; the support page also describes Basic, Preferred, and Premium service levels. · timbr.ai, 4 Oct 2026
- Virtualization
- Timbr maps concepts to existing data and supports querying across sources without moving or copying data. · timbr.ai, 4 Oct 2026
- Who it serves
- The pricing FAQ says data engineers generally create semantic models, while people who know SQL can also learn to build them. · timbr.ai, 4 Oct 2026
Where Timbr stands on Freedom251
- Knowledge Graph Software#25 of 33