Most metadata platforms help organizations understand and govern their data. MetaKarta enforces it with Semantic Hub. The compiler writes governed business logic into the native formats of every database and BI tool before any query runs.
Semantic Hub parses your existing BI estate and reconstructs its business logic into consistent, governed definitions. Your existing BI investment becomes the starting point, instead of a risky greenfield build.
01
Reverse-engineer existing BI semantic assets to capture institutional knowledge without starting from scratch.
02
Standardize definitions, author new metrics, and establish consistent data stewardship across a canonical model.
03
Translate governed logic into the native artifacts and code formats required by each target platform.
04
Publish optimized, platform-specific models to any target data or analytics environment.
Apply software engineering best practices: version control, branch management, and CI/CD.
Consistent across every tool in the estate. No vendor lock-in to a runtime layer.
Definitions compiled natively, instead of resolved at query time, reducing redundant compute.
No more stale data marts, extracts, or snapshots. Query live data without data movement.
Definitions travel with the migration. Legacy to modern. On-premises to cloud.
Provide compiled context to LLMs to improve AI accuracy.
Definitions live in the vendor's runtime
Semantic layers intercept queries at runtime, routing them through the vendor's engine. Your definitions exist only inside their product. Remove it and you lose everything.
Drawbacks
Definitions disappear when you switch tools or remove the middleware
Switching vendors means rewriting your entire semantic model
Lock-in is the business model
Definitions live in your systems and tools
Semantic Hub compiles metric and calculation logic directly into database-native objects. No middleware. No query routing. The portable definitions are yours.
Advantages
Compiled metrics live in your warehouse, nothing to route through at runtime
Definitions survive a tool change. They exist in the data layer, not in a vendor product
Switch BI tools without redefining your semantics
Open standard Semantic Hub Language (SHL)
Database Migration Without BI Disruption
Migrate to a modern database in days, not months, without re-wiring a single BI dashboard.
BI Platform
Modernization
Move to a new BI platform without rebuilding years of business logic from scratch.
Portable Semantics Across Database Platforms
Deploy semantic definitions across databases without re-engineering, avoiding lock-in.
Single Source of Truth for Metrics & KPIs
Every team pulls from the same governed definitions, so boardroom numbers match and audits close faster.
Lower Overhead & Faster Dashboards
Eliminate redundant extracts, cut cloud computecosts, and speed up dashboards with centralized metric definitions.
Cross-Data Store Joins Without ETL
Join data across warehouses, operational databases, and data lakes on demand, without building pipelines or moving data.
Trusted & Auditable AI
Trace every AI answer back to a governed metric definition your team can verify and audit.
Spreadsheets Without the Export
Query live data from governed definitions in the tool your finance team already uses.
Embedded Analytics Without Rewrites
Return the same answer from the same governed definition, without rewriting logic in every app.
MetaKarta establishes the shared metadata foundation organizations have been trying to patch together for years: trusted BI, reliable AI, and defensible governance, compiled into every architecture, every cloud, and every tool. No runtime dependency. No vendor lock-in. No greenfield start required.
Semantic Hub is MetaKarta's semantic compiler capability. It imports your existing BI semantic assets, lets you model and govern them as one canonical set of definitions, and compiles them into the native artifacts of each target platform: Import, Model, Compile, Deploy.
Semantic layer products sit in the query path at runtime, routing every query through the vendor's engine. We don't sit in your query path. We've already compiled into your database and tools. Each target system enforces the definitions with its own engine, at its own speed.
Remove us tomorrow. Your definitions stay. Compiled artifacts are native objects in your warehouse and BI tools, and the source models are written in SHL, an open-source, YAML-based language you keep.
Native artifacts including Snowflake Semantic Views, Databricks Metric Views, Power BI semantic models, and Tableau data sources, across a platform with 400+ native connectors.
Yes, and that's the recommended starting point. The reverse-engineering engine parses your existing Power BI, Tableau, and other BI semantic assets into governed definitions. Import what you have. Model what you need. Compile it everywhere.
Compiled, governed definitions become the curated context AI agents reason against, so an agent's answer and a dashboard's number come from the same definition, with the provenance chain attached.