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0sql
0sql: Semantic layer as a service that turns structured specs into one correct SQL statement with row-level security.
0sql acts as a semantic layer as a service for applications and AI agents. Your code or agent sends a structured query spec containing measures, dimensions, filters, and cohorts, and 0sql returns one correct SQL statement for your warehouse with row-level security compiled in. It never connects to your warehouse, ensuring your data never leaves your network. The semantic model is defined as YAML in git and deployed per branch. It supports thirteen dialects including Postgres, Snowflake, BigQuery, Databricks, and Redshift, making it suitable for AI agents, embedded analytics, and platform teams.
0sql at a glance
- Best for: Software engineer
- Runs on: Web, API, CLI
- Pricing: Free while in experimental phase with no card, tiers, or limits required.
- Released: October 2026
- Category: AI coding tool
- Website: 0sql.io
Key features
- Compiles semantic specs into single SQL statements
- Applies row-level security automatically
- Uses YAML files in git for semantic models
- Supports thirteen SQL dialects
- Provides deterministic query planning
- Returns explicit errors instead of wrong numbers
Use it for
- Building custom agentic dashboards with AI query generation
- Handling embedded analytics and query builders
- Defining single sources of truth for metrics across BI tools
- Managing semantic models in git for platform teams
Alternatives to 0sql
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- TEXT2SQL.AI — Generates accurate SQL queries from natural language instantly.
- Tabularis — Combines a full-featured human SQL editor with a built-in Model Context Protocol server.
- SQLAI.ai — Generates clean SQL queries and optimizes performance with clear reasoning.
- LLMSchema — Provides AI coding agents with accurate database schemas without context bloat.
- Rdst — Catches slow queries and generates exact SQL fixes with zero database writes.
- zerostack — Minimal memory footprint and high CPU efficiency compared to JS-based agents.
- Bytebase — Centralizes database change management and access control for teams and AI agents.
- Chat2DB — Local-first data processing keeps your database schema private and secure.
- CubeSandbox — Provides sub-60ms cold starts and hardware-level microVM kernel isolation.
- DBX — It combines lightweight size, open-source access, and built-in AI for over one hundred databases.
- Git AI — It moves work to the server and handles concurrent tasks without standard Git bottlenecks.
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