ArcadeDB vs FalkorDB

ArcadeDB is a multiple database; FalkorDB is a property graph database. ArcadeDB (2021-09, Apache-2.0, Java) ranks #9 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5. They differ on 20 of 46 surveyed features.

Choosing between them

FalkorDB, formerly RedisGraph, runs as a Redis module. It stores adjacency as sparse matrices and executes openCypher queries as linear algebra, and it targets low-latency workloads such as GraphRAG and agent memory. It is licensed under SSPL v1, a source-available licence with conditions on offering it as a service. Pick FalkorDB if you already run Redis and need fast graph lookups.

ArcadeDB is Apache-2.0, including its Raft-based high availability. It stores graphs, documents, key/value pairs, time series, vectors and geospatial data in one engine, accepts Cypher, Gremlin and SQL, and speaks the Bolt, PostgreSQL and Redis wire protocols. It runs embedded on the JVM or as a server. Pick ArcadeDB for a permissive licence or several data models in one database.

Reviewed 2026-10-05. Sources: FalkorDB README; FalkorDB licence (SSPL v1); ArcadeDB README.

Attribute ArcadeDB #9 ▲1 Leader FalkorDB #5 ▲1 Leader
At a glance
Rank #9#5
Score 65.469.8
GitHub stars 1.2k10k
Popularity 54.768.1
Activity 76.878.6
Community 59.069.8
Research 74.755.3
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 runs as a Redis module, formerly RedisGraph. Uses GraphBLAS sparse matrix operations for query execution, enabling parallel graph traversal.
Vendor ArcadeDBFalkorDB
Model MultipleProperty Graph
Kind databasedatabase
Category GrowingEstablished
First released 2021-092018-07
Status activeactive
License Apache-2.0SSPL-1.0
Written in JavaC
Query languages SQL, openCypher, Gremlin, GraphQLopenCypher
gdotv support yesyes

Feature scores 20 of 46 rows differ

Feature ArcadeDBFalkorDB
Community & Business
Active development ✓✓
Commercial support ✓✓
Live community ✓✓
Open Source ✓✓
Pricing ✓✓
Trendiness ·0.5
Deployment
Containerization ✓✓
Work as dedicated instance ✓✓
Work as embedded ✓·
Testing in-memory version ·✓
Platform
Operating on Linux ✓✓
Operating on Windows ✓0.75
SaaS offering ··
Operations
Automatic updates ✓·
Client side caching ·0.5
Data versioning support ··
Live backups ✓0.5
Distribution
Cluster Re-balancing ··
Data Distribution ··
High-Availability ✓0.5
Query Distribution ··
Replication support ✓✓
Developer Experience
Data types defined ✓✓
Logging/Auditing ✓0.5
Object-Graph Mapper ·✓
Reactive programming ✓0.5
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 ✓0.5
Authentication ✓0.5
Authorization ✓0.5
Data encryption ✓0.5