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orionbelt-semantic-layer
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orionbelt-semantic-layer

Active·★ 49·NOASSERTION·Updated 2026-05-28
★ Trending★ Workflow Automation★ API Integration

API-first semantic layer engine with MCP server that compiles declarative YAML models into optimized, dialect-specific SQL across PostgreSQL, Snowflake, ClickHouse, Dremio, and Databricks.

OrionBelt Semantic Layer is an API-first semantic engine that transforms declarative YAML model definitions into optimized SQL for multiple database dialects. It provides a unified abstraction for querying using business concepts like dimensions and measures. All capabilities are exposed via REST API for easy integration.

#agentic-ai#ai-analytics#ai-workflow#bigquery#business-intelligence#clickhouse#data-analytics#databricks
$ Install
$ git clone https://github.com/ralfbecher/orionbelt-semantic-layer.git && cd orionbelt-semantic-layer && uv sync
↗ Visit site★ GitHub
01

Features

01Support for 7 SQL dialects with dialect-specific optimizations
02AST-based SQL generation ensuring correct and injection-safe queries
03YAML-based semantic models (OBML) with data objects, dimensions, measures, and joins
04Automatic join path resolution with Composite Fact Layer support for multi-fact queries
05REST API with session management, validation, diagram generation, and MCP server support
02

Compatibility

BigQuery
BigQuery
Verified via docs
ClickHouse
ClickHouse
Verified via docs
Databricks
Databricks
Verified via docs
Dremio
Dremio
Verified via docs
DuckDB
DuckDB
Verified via docs
PostgreSQL
PostgreSQL
Verified via docs
03

Quick start

1
$ git clone https://github.com/ralfbecher/orionbelt-semantic-layer.git
2
$ cd orionbelt-semantic-layer
3
$ uv sync
04

Use cases

↳Compile business-friendly queries into optimized SQL for data warehouses
↳Integrate with AI agents to provide a semantic interface for data analysis
↳Manage and validate semantic models across multiple database platforms via API
05

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Related searches

orionbelt-semantic-layer AlternativesBest Workflow Automation Tools 2026Open Source Workflow Automationorionbelt-semantic-layer Tutorialorionbelt-semantic-layer Vs Competitorsagentic-aiai-analyticsai-workflow

Comments

Log in to leave a comment
  • S
    Sutton AndersonMay 24, 2026

    YAML-based semantic layer with MCP server is the right abstraction for data teams

  • K
    Kai AndersonApr 23, 2026

    API-first design means the semantic definitions are portable across tools

  • J
    Jesse HarrisApr 14, 2026

    Used for building a consistent data vocabulary across AI and BI tools, works well

  • J
    Jesse JacksonMar 10, 2026

    The declarative YAML approach makes semantic layer changes reviewable in git

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 49
Last commit2d ago
StatusActive
LicenseNOASSERTION
CategoryWorkflow Automation
Trend (30d)
+1.9↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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