Timbr

The Ontology-Based Semantic Layer for AI-Ready Data

5.0•5 reviews•

7 followers

The Ontology-Based Semantic Layer for AI-Ready Data

5.0•5 reviews•

7 followers

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Data visualization tools

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Business intelligence software

Timbr is an ontology-based semantic layer that unifies structured data into a SQL-queryable knowledge graph. It lets teams virtually integrate, model, and explore data with relationships and metrics made explicit. powering analytics, AI, and LLMs with accuracy and speed, without data replication.

Timbr Reviews

Name: Timbr
Rating: 5.0 (5 reviews)

The community submitted 5 reviews to tell us what they like about Timbr, what Timbr can do better, and more.

5.0

Based on 5 reviews

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•1 review

In my opinion this is a total must have for any meaningful data lake - no matter which SQL backend you use (but will work with many NoSQL too, given there are so many compatibility drivers). The word "meaningful" is not used at random, Timbr adds a thin, light, layer of semantics applied at query time which totally adapts to the way your data has been stored in your existing systems giving you the power of writing super powerful queries in a few lines which would have taken pages of incomprehensible joins before that. The Timbr team then is overly excellent - we continue to receive more support than we would have hoped and so with so many of our suggestions having been incorporated in a matter of short weeks really. I'd say timbr is bound to be recognized as one of the most impactful projects in the big data world.

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3yr ago

•1 review

Timbr.AI has been an incredibly useful tool for the business I support. It has allowed us to quickly and efficiently answer important business questions while also documenting our data model in the process. Plus, the support team is absolutely incredible. They are flexible on meeting times, very detailed and helpful on calls, and are extremely responsive to feature requests. They definitely go above and beyond and our team really appreciates it!

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3yr ago

•1 review

Timbr has connected super well to Python notebook for how I'm using it, at least. The Timbr Relationships also help so much as someone who isn't a fantastic SQL programmer but was still able to do some complicated joins. I personally know a lot of college graduates who are doing some SQL for their consultant/finance/accounting roles that would be much more efficient with Timbr.

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2yr ago

•3 reviews

A great combination of data capabilities. The first product I've seen that successfully combined semantics with virtualization and cache. It made a massive difference for our data engineering and analytics teams.

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3yr ago

•1 review

Very innovative product in the space, opens up a world of possibilities. I like that they built their query language as a small extension on top of standard SQL: high compatibility and no learning required. SQL is used for querying but also dynamically configuring the system, which makes integration exceptionally easy. Well done.

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3yr ago