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.
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Interact with ClickHouse databases through the Model Context Protocol
Best for Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters.
A Model Context Protocol (MCP) server that provides tools for interacting with ClickHouse® databases. This server enables AI assistants and other MCP clients to query, analyze, and interact with ClickHouse® databases through a standardized protocol.
What it does
- Support for STDIO, HTTP, and SSE transport protocols
- OAuth 2.0 and JWE-based authentication support
- Automatic generation of MCP tools from ClickHouse views
- Dynamic resource discovery for database schemas
- TLS encryption for secure database and server connections
Setup requirements
Requires 3 environment variables: CLICKHOUSE_HOST, MCP_TRANSPORT, MCP_PORT. Available via Docker and Helm and Source.
Biggest differences
CompareArcadeDBAltinity MCP
Best forBuilding multi-model applications that require both relational and graph data structures.Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters.
StandoutSupports multiple data models including Graph, Document, and Key-Value.Support for STDIO, HTTP, and SSE transport protocols.
SetupNPX, needs 3 env vars, stdio transport.Docker or Helm, needs 3 env vars, stdio transport.
Transportstdiostdio
Community758 GitHub stars23 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 Altinity MCP if...Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters. Support for STDIO, HTTP, and SSE transport protocols. Docker or Helm, needs 3 env vars, stdio transport.
The real split here is workflow fit, not raw counts. ArcadeDB: Building multi-model applications that require both relational and graph data structures. Altinity MCP: Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters. ArcadeDB also has the larger public footprint (758 vs 23 stars).