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Timbr icon

Timbr

Timbr is an ontology-based semantic layer used by leading enterprises to make faster, better decisions with AI-ready knowledge. It transforms fragmented structured data into a unified, SQL-queryable knowledge graph that makes relationships, metrics, and business context...

Timbr replaces complex SQL joins with simplified semantic SQL using ontologies.

Cost / License

  • Subscription
  • Proprietary

Platforms

  • Online
  • Software as a Service (SaaS)
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Properties

  1.  Privacy focused

Features

  1.  Import CSV Data
  2.  Real time collaboration
  3.  No Coding Required
  4.  Ad-free
  5.  Cloud Sync
  6.  Dark Mode
  7.  Data modeling tool
  8.  AI-Powered

 Tags

  • llm-integration
  • sql-analytics
  • knowledge-graph
  • data-virtualization
  • ontology-based
  • graph-analytics
  • enterprise-data-platform
  • data-mapping
  • semantic-layer

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Timbr information

  • Developed by

    Timbr.ai
  • Licensing

    Proprietary and Commercial product.
  • Pricing

    Subscription that costs from $599 per month.
  • Alternatives

    10 alternatives listed
  • Supported Languages

    • English

AlternativeTo Category

Business & Commerce
Timbr was added to AlternativeTo by Elisha Miller on and this page was last updated .
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What is Timbr?

Timbr is an ontology-based semantic layer used by leading enterprises to make faster, better decisions with AI-ready knowledge. It transforms fragmented structured data into a unified, SQL-queryable knowledge graph that makes relationships, metrics, and business context explicit, enabling both humans and AI to reason over data with accuracy and speed.

Timbr’s open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, governed semantic model that powers analytics, automation, and LLMs via SQL, REST APIs, SDKs, and natural language.

By operationalizing AI securely and transparently on enterprise data—without dependence on proprietary stacks—Timbr helps organizations maximize data ROI and enables teams to focus on solving problems instead of managing complexity.

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