Timbr
timbr.ai
Spec sheet
- Product
- Timbr is an ontology-based semantic layer that creates a virtual knowledge graph over existing data sources for enterprise AI and analytics.Read 4 Oct 2026 · timbr.ai
- 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.Read 4 Oct 2026 · timbr.ai
- Integrations
- The integration documentation lists data sources including Snowflake, Databricks, BigQuery, PostgreSQL, MongoDB, and Salesforce, plus BI tools such as Power BI and Tableau.Read 4 Oct 2026 · timbr.ai
- 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.Read 4 Oct 2026 · timbr.ai
- Headquarters
- Raanana, IsraelRead 28 Sep 2026 · timbr.ai
- Founded
- 2018Read 28 Sep 2026 · timbr.ai
- Company
- The privacy policy identifies the maker as WP Semantix Ltd. (Timbr.ai), headquartered in Raanana, Israel.Read 4 Oct 2026 · timbr.ai
- 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.Read 4 Oct 2026 · timbr.ai
- AI features
- Timbr offers GraphRAG, LangChain, and LangGraph SDKs and supports deployment through MCP servers.Read 4 Oct 2026 · timbr.ai
- Data residency
- Timbr says it does not store customer data, which remains in the connected database.Read 4 Oct 2026 · timbr.ai
- 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.Read 4 Oct 2026 · timbr.ai
- Semantic modeling
- Users can model business concepts, relationships, hierarchies, measures, and rules with SQL-native ontologies.Read 4 Oct 2026 · timbr.ai
- Virtualization
- Timbr maps concepts to existing data and supports querying across sources without moving or copying data.Read 4 Oct 2026 · timbr.ai
- Who it serves
- The pricing FAQ says data engineers generally create semantic models, while people who know SQL can also learn to build them.Read 4 Oct 2026 · timbr.ai
Plans and prices
Business Price not published 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 Read 4 Oct 2026 · timbr.ai
Enterprise Priced on request Request Quote Customized to your needs · self-hosted option · advanced data virtualization engine Read 4 Oct 2026 · timbr.ai
Teams Price not published 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 Read 4 Oct 2026 · timbr.ai
Where Specifiction places it
- Knowledge Graph Software#27 of 337.3
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