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Close the loop. Before any query runs.

Most metadata platforms help organizations understand and govern their data. MetaKarta enforces it with its Semantic Hub that compiles governed business logic into the native formats of every database and BI tool before any query runs.

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INTERACTIVE PREVIEW
Compile business logic into native formats
Data Platforms
BI & Analytics
AI
MECHANISM

Write once. 

Compile anywhere.

Semantic Hub automatically parses your existing BI estate, reconstructing business logic into consistent, governed definitions. Instead of a risky greenfield build, your team gets a fully populated starting point from day one.

Import: Reverse-engineer existing BI semantic assets to capture institutional knowledge without starting from scratch.
Model: Standardize definitions, author new metrics, and establish consistent data stewardship across a canonical model.
Compile: Translate governed logic into the native artifacts and code formats required by each target platform.
Deploy: Publish optimized, platform-specific models to any target data or analytics environment.

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to learn more about Semantic Hub
FEATURES

Built on one metadata foundation.
Delivered across the estate.

Metrics as code

Apply software engineering best practices: version control, branch management, and CI/CD.

Portable, enterprise-owned definitions

Consistent across every tool in the estate. No vendor lock-in to a runtime layer.

Query efficiency, compute cost optimization

Definitions compiled natively, instead of resolved at query time, reducing redundant compute.

Zero-copy architecture

No more stale data marts, extracts, or snapshots. Query live data without data movement.

BI migration risk mitigated

Definitions travel with the migration. Legacy to modern. On-premises to cloud.

Semantic grounding for AI

Provide curated business context to LLMs to improve AI accuracy.

THE ARCHITECTURAL DIFFERENCE

Run-time vs. compile-time.
What’s next is not a layer.

Middleware Semantic layer

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.

All queries route through the vendor's engine, adding latency and a single point of failure

Definitions disappear when you switch tools or remove the middleware

Switching vendors means rewriting your entire semantic model

Lock-in is the business model

MetaKarta Semantic Hub

Definitions live in your systems and tools

MetaKarta compiles metric and calculation logic directly into database-native objects. No middleware. No query routing. The portable definitions are yours.

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)

USE CASES

Governed data.
Everywhere it goes.

PILLAR 1
Modernization & Migration

Eliminate vendor lock-in, accelerate cloud migrations, and modernize your stack with zero downtime

USE CASE
Database migration
without BI disruption

Migrate to a modern database in days, not months, without re-wiring a single BI dashboard.

USE CASE
BI platform
modernization

Move to a new BI platform without rebuilding years of business logic from scratch.

USE CASE
Portable semantics across database platforms

Deploy semantic definitions across databases without re-engineering, avoiding lock-in.

PILLAR 2
Unified Governance & Agility

Break down data silos, reduce cloud costs, and rebuild trust in your data

USE CASE
Single source of truth for metrics & KPIs

Pull from the same governed definitions, so that boardroom numbers match and audits close faster for every team.

USE CASE
Lower overhead & faster dashboards

Eliminate redundant extracts, cut cloud compute costs, and speed up dashboards with centralized metric definitions.

USE CASE
Cross-data store joins without ETL

Join data across warehouses, operational databases, and data lakes on demand, without building pipelines or moving data.

PILLAR 3
Universal Data Consumption

Deliver governed definitions to every consumer

USE CASE
Trusted & auditable AI

Trace every AI answer back to a governed metric definition your team can verify and audit.

USE CASE
Spreadsheets without 
the export

Query live data from governed definitions in the tool your finance team already uses.

USE CASE
Embedded analytics
without rewrites

Return the same answer from the same governed definition, without rewriting logic in every app.

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