Tech riderRev. 4 Oct 2026

Timbr

Ch 156.9of 33 Knowledge Graph Software

1Runs onAPI, Linux, self-hosted, Web
2Costsfree trial
3Ontology modelingYes
4Semantic reasoningYes
5RDF/SPARQL supportYes
6Graph visualizationYes
7Import formatsOWL, CSV
8Deploymentboth

8 lines stated Written from the maker's own pages: timbr.ai

Visit site Alternatives

Overview

Timbr is ranked #15 of 33 in knowledge graph software on Specifiction. It runs on API, Linux, Self-hosted, Web. There is no free plan. A free trial is offered.

Timbr plans and pricing

All plans

Teams 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 timbr.ai · 4 Oct 2026

Business 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 timbr.ai · 4 Oct 2026

Enterprise Not published Request Quote Customized to your needs · self-hosted option · advanced data virtualization engine timbr.ai · 4 Oct 2026

Compared on knowledge graph software

Free plan: Notimbr.ai
Ontology modeling: Yestimbr.ai
Semantic reasoning: Yestimbr.ai
RDF/SPARQL support: Yestimbr.ai
Graph visualization: Yestimbr.ai
Import formats: OWL, CSVtimbr.ai
Deployment: bothtimbr.ai
Query languages: SQL, SPARQLtimbr.ai

Facts

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
Virtualization: Timbr maps concepts to existing data and supports querying across sources without moving or copying data.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
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
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
Data residency: Timbr says it does not store customer data, which remains in the connected database.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
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
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
Company: The privacy policy identifies the maker as WP Semantix Ltd. (Timbr.ai), headquartered in Raanana, Israel.timbr.ai · 4 Oct 2026