Multi Model DBMS Built for Extreme Performance
Best for Building multi-model applications that require both relational and graph data structures.
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What it does
- Supports multiple data models including Graph, Document, and Key-Value
- Compatible with SQL, Cypher, Gremlin, and MongoDB query languages
- Native support for vector embeddings for AI applications
- Full ACID transaction support
- High-performance engine optimized for low resource usage
Setup requirements
Requires 3 environment variables: ARCADEDB_URL, ARCADEDB_USER, ARCADEDB_PASSWORD. Available via NPX.
View ArcadeDB details vs
Production-ready SQL parsing SDK for Go with 7 SQL tools
Best for Automating SQL code review and linting in development workflows.
Parse SQL at the speed of Go.
๐ Try the Playground ยท ๐ Read the Docs ยท ๐ Get Started ยท ๐ Benchmarks.
What it does
- Zero-copy SQL tokenization and parsing
- Support for 7 SQL dialects including PostgreSQL, MySQL, and SQLite
- Full AST generation for complex SQL analysis
- Built-in SQL validation, formatting, and linting
- High-performance architecture handling 1.38M+ ops/sec
View GoSQLX details Biggest differences
CompareArcadeDBGoSQLX
Best forBuilding multi-model applications that require both relational and graph data structures.Automating SQL code review and linting in development workflows.
StandoutSupports multiple data models including Graph, Document, and Key-Value.Zero-copy SQL tokenization and parsing.
SetupNPX, needs 3 env vars, stdio transport.MCP Server, http transport.
Transportstdiohttp
Community758 GitHub stars61 GitHub stars
Bottom line
Pick ArcadeDB if...Building multi-model applications that require both relational and graph data structures. Supports multiple data models including Graph, Document, and Key-Value. NPX, needs 3 env vars, stdio transport.
Pick GoSQLX if...Automating SQL code review and linting in development workflows. Zero-copy SQL tokenization and parsing. MCP Server, http transport.
The real split here is workflow fit, not raw counts. ArcadeDB: Building multi-model applications that require both relational and graph data structures. GoSQLX: Automating SQL code review and linting in development workflows. ArcadeDB also has the larger public footprint (758 vs 61 stars).