ArcadeDB vs Neo4j

ArcadeDB is a multiple database; Neo4j is a property graph database. ArcadeDB (2021-09, Apache-2.0, Java) ranks #9 this month; Neo4j (2007, GPL-3.0, Java) ranks #1. They differ on 10 of 46 surveyed features.

Choosing between them

ArcadeDB accepts Cypher and speaks Neo4j’s Bolt protocol, so Neo4j drivers can connect to it; check your own queries, since ArcadeDB describes itself as Cypher-compatible rather than identical. Everything ships under Apache-2.0, including Raft-based high availability, and the same database also stores documents, key/value pairs, time series and vectors. Pick ArcadeDB for clustering without a commercial licence, or to mix data models.

Neo4j’s Community Edition is GPLv3. Clustering, multiple databases, role-based access control and online backup need Enterprise Edition. Pick Neo4j for its graph algorithms library and tooling.

Reviewed 2026-10-05. Sources: ArcadeDB README; Neo4j Operations Manual: editions.

Attribute ArcadeDB #9 ▲1 Leader Neo4j #1 = Leader
At a glance
Rank #9#1
Score 65.488.8
GitHub stars 1.2k17.3k
Popularity 54.798.6
Activity 76.886.5
Community 59.073.8
Research 74.798.7
Fundamentals
Description A multi-model database inspired by OrientDB, supporting graphs, documents, key-value, time-series, and search. Uses RAFT-based replication for high availability.A property graph database that stores data as fixed-size records in linked lists for index-free adjacency traversal. Offers community and commercial editions with an extensive graph algorithms library.
Vendor ArcadeDBNeo4j Inc
Model MultipleProperty Graph
Kind databasedatabase
Category GrowingEstablished
First released 2021-092007
Status activeactive
License Apache-2.0GPL-3.0
Written in JavaJava
Query languages SQL, openCypher, Gremlin, GraphQLCypher, GQL
gdotv support yesyes

Feature scores 10 of 46 rows differ

Feature ArcadeDBNeo4j
Community & Business
Active development ✓✓
Commercial support ✓✓
Live community ✓✓
Open Source ✓✓
Pricing ✓0.5
Trendiness ·✓
Deployment
Containerization ✓✓
Work as dedicated instance ✓✓
Work as embedded ✓✓
Testing in-memory version ·✓
Platform
Operating on Linux ✓✓
Operating on Windows ✓✓
SaaS offering ·✓
Operations
Automatic updates ✓·
Client side caching ··
Data versioning support ··
Live backups ✓✓
Distribution
Cluster Re-balancing ··
Data Distribution ·✓
High-Availability ✓✓
Query Distribution ·✓
Replication support ✓✓
Developer Experience
Data types defined ✓✓
Logging/Auditing ✓✓
Object-Graph Mapper ·✓
Reactive programming ✓✓
Documentation up-to-date ✓✓
Binary protocol ✓✓
CLI ✓✓
GUI ✓✓
Data Model
Multi-database ✓✓
Graph-native data ✓✓
REST API ✓✓
Query Language ✓✓
Transactions
Granular locking ·✓
Multiple isolation levels ✓✓
Read committed transaction ✓✓
Transaction support ✓✓
Schema & Security
Constraints ✓✓
Schema support ✓✓
Secondary indexes ✓✓
Server side procedures ✓✓
Triggers ✓✓
Authentication ✓✓
Authorization ✓✓
Data encryption ✓·