OrionBelt Semantic Layer FAQs

Question 1

What is OrionBelt Semantic Layer?

Accepted Answer

OrionBelt Semantic Layer compiles declarative YAML semantic models into optimized analytical SQL for multiple database dialects, offering a unified abstraction over your data warehouse for simpler analytics.

Question 2

Which database dialects does OrionBelt Semantic Layer support?

Accepted Answer

OrionBelt supports five major SQL dialects: PostgreSQL, Snowflake, ClickHouse, Dremio, and Databricks SQL, complete with dialect-specific optimizations for each.

Question 3

How does OrionBelt ensure the quality and safety of generated SQL?

Accepted Answer

OrionBelt utilizes AST-Based SQL Generation, which creates correct and injection-safe SQL programmatically by transforming an Abstract Syntax Tree, avoiding common pitfalls like string concatenation.

Question 4

Can OrionBelt Semantic Layer integrate with AI tools or custom applications?

Accepted Answer

Absolutely. With its API-first architecture featuring a REST API, an MCP Server for AI integration, and an interactive Gradio UI, OrionBelt is designed for seamless embedding into any application, workflow, or AI assistant.

Question 5

What is the purpose of YAML-based semantic models (OrionBelt ML/OBML)?

Accepted Answer

OrionBelt ML (OBML) allows users to define data objects, dimensions, measures, metrics, and joins using YAML. This enables analysts to query data using familiar business concepts, abstracting away complex raw SQL.

OrionBelt Semantic Layer

OrionBelt Semantic Layer

Key Features

Use Cases

Key Features

Use Cases