Timbr.ai
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About
Timbr.ai offers an intelligent semantic layer leveraging SQL knowledge graph technology to efficiently integrate data from various sources while providing business context and relationships. The platform simplifies data projects by automating modeling, enabling users to query data with up to 90% shorter SQL queries. Its architecture allows seamless connections to clouds, data lakes, and warehouses, promoting rapid development of data applications. Timbr features include data virtualization, intelligent caching, integration with BI tools, and support for REST APIs, with flexible deployment options including SaaS and on-premises. The tool also supports graph algorithms and facilitates machine learning projects, enhancing data interoperability and governance.
Platform
Task
Features
• flexible deployment options
• rest api access
• data virtualization
• graph algorithms support
• bi tool integration
• intelligent cache manager
• sql knowledge graph technology
FAQs
What is Timbr Intelligent Semantic Layer?
Timbr is a semantic layer based on SQL knowledge graph technology that allows for the integration and modeling of data products.
How long does it take to build a Timbr Semantic Layer?
Timbr offers a fast and easy implementation with no data movement or proprietary query language required.
Does Timbr work with graph algorithms?
Yes, Timbr supports graph algorithms through its integration with libraries like networkX and Nvidia's Cugraph.
What makes Timbr different from a graph database?
Timbr enables semantic capabilities on existing data engines without requiring a separate graph database.
What are the benefits of a semantic data fabric?
The semantic data fabric provides universal meaning and context to data, facilitating complex queries and reducing data silos.
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