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ArcadeData/arcadedb

ArcadeDB Multi-Model Database supports Vector Embeddings

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

75views this month

1.2k stars145 forksLast push Sep 20, 2026 Java Apache-2.0

Decision brief

Use ArcadeDB if you require a multi-model database system supporting a variety of query languages and vector embeddings for AI applications.

Good fit when

  • When building systems that need to support SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, or Redis interfaces simultaneously.
  • For projects requiring direct support for vector embeddings integrated into its native operations without additional configurations.

Avoid when

  • If your project strictly requires the specific functionalities and history of OrientDB that ArcadeDB may not fully replicate despite being a conceptual fork.
  • When you need a database system that exclusively focuses on one model, as ArcadeDB's multi-model nature might introduce complexity without necessary benefits.

Observed Jul 14, 2026 · Source: enrich:decision_facts

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (1,157) are secondary evidence.

Docker Hub pulls (30d)
364,322·Docker Hub API·Sep 20, 2026

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/ArcadeData/arcadedb

How it fits your stack(6)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A comprehensive DBMS that integrates SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, and Redis interfaces. It offers support for vector embeddings enabling its use in AI applications.

Capability facts

Deploy
Self-host

Source: dockerfile:docker-compose.yml · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:docker-compose.yml · Sep 20, 2026

MCP server
No MCP server detected

Source: repo_scan · Sep 20, 2026

Languages
java

Source: github.language · Sep 20, 2026

Categories

Tags

README

Getting started in 5 minutes Start ArcadeDB Server with Docker: Pass database settings in and any extra JVM flags in : Docker replaces an environment variable rather than appending to it, so keeping the two apart leaves the image's own garbage collector and heap sizing ( and ) in...

For agents

This page has a .md twin and JSON over the API.

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