Timbr’s AI engine powers databases with ontological meaning, relationships and inference to accelerate engineering and delivery of data products and apps.timbr.aiJoined January 2020
Marks & Spencer has the tools - BEAM, Power BI, Alation, o9.
But the real challenge? Making them speak the same language.
SQL ontologies unify Customer, Product, Planning & Supply data into one semantic backbone, powering BI, ML & AI with shared truth. 🚀
👉 Read more:…
Most digital twin projects fail, not from lack of data, but from bad data modeling.
Traditional approaches rely on rigid schemas, ex-model measures, and endless JOINs. The result: long implementation times, high maintenance costs, and models that can’t keep up with changing…
Why are enterprises suddenly asking for SQL ontologies? 🚀
For years, ontologies felt academic and disconnected from day-to-day data work. But now, large companies are asking: How can we model our data as SQL ontologies?
Here’s what changed:
⚡ LLM agents + workflows need…
🚀 Just launched: Timbr GraphRAG + SDK
Unlock real-time, structured + unstructured GenAI with governed accuracy.
We've combined Timbr's semantic knowledge graph with RAG to create an enterprise-ready architecture that lets LLMs reason over live relational data and vector-based…
📉 ERDs weren't built for insight.
📈 SQL ontologies are.
Traditional data modeling stops at structure. SQL ontologies capture meaning, relationships, and inheritance across your data.
✅ Query across systems without joins
✅ Reuse relationships with direction and logic
✅…
🚀 Supercharge your BI tools with Timbr’s Semantic Layer!
Business teams don’t need more dashboards, they need faster answers and smarter models.
Here’s what Timbr adds to @PowerBI, @tableau, Looker & more:
✅ Query concepts, not tables
✅ Speak business, not SQL
✅ Reuse…
🔓 Unlock the Power of AI-Ready Data at #DataAISummit! Book your demo!
Curious how to transform your Databricks lakehouse into a powerhouse for accurate, enterprise-grade LLM SQL queries?
Join us at the Databricks Data + AI Summit and discover Timbr’s SQL ontology-based…
LLMs promise instant dashboards & answers—
But most teams are still debugging broken SQL.
Why? Because LLMs don’t understand your data.
They need structure.
They need meaning.
They need a semantic layer.
Read how SQL-native knowledge graphs fix this:
🔗timbr.ai/blog/why-enter……
🚀 We’re heading to San Francisco for the 2025 Databricks Data + AI Summit!
If you’ll be there too, come meet our team to see how we’re helping organizations unify Databricks tools with an ontology-based semantic layer, enabling them to:
• Connect Unity, Notebooks, Delta, and…
🚰 Data infrastructure isn’t just technology — it’s trust.
When Mekorot, Israel’s national water company, needed to unify and secure on-prem and cloud data, they partnered with Timbr.ai.
Together we:
🔹 Enabled secure, seamless data flow
🔹 Built bi-directional…
Why can’t Excel just talk to Databricks?
Turns out — with the Timbr NLQ Excel Add-in, it can.
Business users often hit a wall when data lives in governed platforms like Databricks. Excel wasn’t designed to work with systems like that.
But with Timbr’s semantic layer, you can…
"Insight-First Architectures" is not a rigidly defined industry standard (like ELT or Data Mesh), but it's a strategic concept or philosophical approach that’s gaining traction, especially in conversations around modern data stacks and data product thinking.
🔎 What does…
🥇 ⚡⚡SQL-native Measures? Yes, really. 😲😲
Timbr’s Semantic Metric Store is changing the game — bringing together semantic modeling, explicit relationships, and SQL-defined measures/cubes to eliminate the complexity of traditional metric stores.
Forget messy joins and…
LLMs don’t just need data — they need context. That’s where ontologies and knowledge graphs come in. 🧠
Modeling ontologies used to be hard. With Timbr, it’s SQL-based, visual & scalable.
You get: ✅ Concepts & relationships ✅ A semantic graph ✅ LLM-ready data
Stop feeding your…
142 Followers 843 FollowingManaging Director @ Accenture.Startup Entrepreneur @ Diviture , 25 yrs of experience in Microsoft, Wipro,umlaut and Accenture
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Views and opinions expressed are my own and have not been reviewed or approved by my employer.
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