Mengbi
Quality score 76Bralforion.com#agents#business#coding#data#design#no-code

OrionBelt® Semantic Layer

OrionBelt® Semantic Layer is an open-source, self-hosted semantic runtime that lets AI agents and BI tools query, validate, and act on enterprise data through structured query objects instead of raw tables.

Visit website

About this tool

OrionBelt® Semantic Layer is an open-source, self-hosted semantic runtime that lets AI agents and BI tools query, validate, and act on enterprise data through structured query objects instead of raw tables. It expresses analytical queries against a semantic model using a structured query object and compiles them into executable SQL. It supports Analytics as Code: version-controlled YAML compiled into executable SQL, DQ rules, KPIs, and semantic context. It provides a command-line tool, obsl, and a public API exposed through Arrow Flight SQL and the PostgreSQL wire protocol, so BI tools see each role as its own column. It targets data engineers, analytics engineers, AI agent developers, and BI developers. The learning curve is high. It is Apache-2.0 licensed, free to use, and self-hosted on Linux, macOS, and Windows.

Best for
  • data engineers building semantic models for BI tools
  • AI agent developers enabling safe agent query composition
  • BI developers generating SQL from structured query objects
  • analytics engineers performing trend analysis over semantic models
Use cases
  • building semantic models for BI tools
  • trend analysis over semantic models
  • guiding query builders with composable dimensions and measures
  • enabling safe AI-agent query composition
  • generating SQL from structured query objects
Strengths
  • open-source under Apache-2.0
  • free to use
  • public API available
  • self-hosted deployment
  • integrates with BI tools via Arrow Flight SQL and PostgreSQL wire protocol
  • command-line tool obsl
Limitations
  • high learning curve
  • requires self-hosted deployment
  • dimensions beyond the object, such as a support employee's department, are not supported yet

Features & use cases

structured query object query languagecompiles semantic models into executable SQLAnalytics as Code: version-controlled YAMLcommand-line tool obslArrow Flight SQL and PostgreSQL wire protocolpublic APItrend-analysis primitivescomposable dimensions and measuresself-hosted deployment

Quick facts

Self-hosting supported
Open-source license: Apache-2.0

At a glance

Monetization
  • Free
Maturity signals
  • Open source
  • Public API
Learning curve
  • High

Resources

Guide

Sources

Every profile keeps its sources and latest verification date.
01https://ralforion.com/orionbelt-semantic-layer/guide/trend-analysis

Similar tools

Elementary Data
elementary-data.com
91

Elementary Data is an automated data quality monitoring and anomaly detection tool for dbt projects, with AI agents for end-to-end data reliability workflows.

Free

Open details
Open source No code & Low code AI
convertigo.com
89

Leverage AI-powered features with Convertigo’s low-code platform. Automate processes, enhance decision-making, and drive smarter app experiences.

Open details
Taskade
taskade.com
88

Taskade is a no-code platform for teams, marketers, developers, and no-code builders to build and customize AI apps, agents, and automations from templates or prompts.

Freemium · $10+/mo

Open details
Dify
dify.ai
86

Dify is a no-code platform for building, deploying, and scaling AI applications, supporting agents, workflows, knowledge pipelines, and model integrations. Users can create agents, agentic workflows, and chatbots through a visual workflow builder, then publish them as web apps or integrate via REST API.

Paid · $590+/mo

Open details