# ArcadeData/arcadedb

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Repository: https://github.com/ArcadeData/arcadedb
Canonical: https://ross.abutalabs.com/products/arcadedb
Homepage: https://arcadedb.com
Language: Java
License: Apache-2.0
License Family: permissive
Topics: database, dbms, multi-model, graph, document, time-series, key-value, embedded, docker, kubernetes, k8s, distributed, arcadedb, orientdb, search-engine, similarity-search, vector-database, vector-search
Last push: 2026-09-03T01:09:09+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 96, longevity 100
- inputs: {"age_days": 1843, "days_push": 0, "days_rel": 30, "gap_med": 27, "n_releases_24m": 28}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1122, forks 137 (observed 2026-09-03T02:15:04.983849+00:00)

## What it is
ArcadeDB is an open-source, Apache 2.0 licensed multi-model DBMS written in Java that natively stores graphs, documents, key-value pairs, full-text search, vectors, and time-series in a single ACID-compliant engine. It supports multiple query languages including SQL, Cypher, Gremlin, GraphQL, and the MongoDB and Redis protocols, and can run embedded in a JVM or as a distributed server.

## Use cases
- store graph, document, and vector data in one database instead of polyglot persistence
- run similarity search over vector embeddings for AI/RAG applications
- query a graph database with Cypher or Gremlin
- embed a high-performance database directly inside a Java application
- replace OrientDB with an actively maintained fork
- connect via MongoDB, Redis, or Postgres wire protocols from existing clients
- run a distributed ACID database on Docker or Kubernetes

## When to choose
- you need multiple data models (graph, document, key-value, vector, time-series) without running several databases
- you want an OrientDB successor with active development and Apache 2.0 licensing
- you need vector similarity search alongside graph or document workloads
- you want embedded-mode database access in the JVM with zero network overhead
- your clients already speak MongoDB, Redis, or Postgres protocols

## When to avoid
- you need a single-model database with a large ecosystem of specialized tooling (e.g., pure Postgres or Neo4j)
- your stack is not JVM-based and you only need remote access with no Java API
- you require managed cloud hosting rather than self-hosted deployment
- you need extremely mature enterprise support without a paid subscription plan

## Facets
- artifact type: application
- maturity: active
- function: database, vector-database, search-engine, database-driver, http-server
- domain: databases, developer-tools, large-language-models
- platform: jvm, self-hosted, cross-platform
- tags: multi-model-database, orientdb-fork, cypher, gremlin, mongodb-protocol, redis-protocol, postgres-wire-protocol, acid-transactions, time-series, key-value, document-store, embedded-mode, similarity-search, vector-embeddings, graph, search, docker, kubernetes

## Member repositories
- ArcadeData/arcadedb (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:04.983849+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:43:43.266420+00:00, confidence not recorded.
  - readme: https://github.com/ArcadeData/arcadedb (fetched 2026-09-03T02:15:04.983849+00:00, sha 0ad5ce9dc2ee)
  - homepage: https://arcadedb.com (fetched 2026-08-29T12:47:19.486523+00:00, sha f8a34b4d8950)
  - site_page: https://docs.arcadedb.com/ (fetched 2026-08-29T12:47:19.491566+00:00, sha ccc27c6038c9)
  - site_page: https://docs.arcadedb.com (fetched 2026-08-29T12:47:19.493254+00:00, sha ccc27c6038c9)
  - site_page: https://docs.arcadedb.com/arcadedb/tutorials/embed-server.html (fetched 2026-08-29T12:47:19.494849+00:00, sha 3728f9e9e31b)
  - site_page: https://docs.arcadedb.com/arcadedb/reference/java-api/chapter.html (fetched 2026-08-29T12:47:19.496707+00:00, sha 4a7485651810)
  - site_page: https://arcadedb.com/pricing.html (fetched 2026-08-29T12:47:19.489634+00:00, sha 1ec6fd7e7253)
- Data as of 2026-08-30T08:39:29.467469+00:00.