Kuzu vs Neo4j

Both are property graph databases queried with openCypher. Kuzu (2022-11, MIT, C++) ranks #26 this month; Neo4j (2007, GPL-3.0, Java) ranks #1.

Choosing between them

Kuzu is no longer maintained. Apple agreed to acquire Kuzu Inc in October 2025 and the project’s repository is archived. Its MIT-licensed code continues in LadybugDB, a community fork that, like Kuzu, runs embedded inside an application, is queried with openCypher and is aimed at analytical workloads.

Neo4j runs as a server that several applications can share. Pick it over LadybugDB when you need a commercially supported database, clustering (Enterprise Edition) or Neo4j’s tooling. Pick LadybugDB when an in-process, MIT-licensed graph engine fits better.

Reviewed 2026-10-05. Sources: KuzuDB archive notice; BetaKit: Apple acquires Kuzu; Neo4j Operations Manual: editions.

Attribute Kuzu #26 ▲3 Strong Neo4j #1 = Leader
At a glance
Rank #26#1
Score 55.388.8
GitHub stars 4k17.4k
Popularity 61.698.6
Activity 47.886.5
Community 58.673.8
Research 52.098.7
Fundamentals
Description An embedded property graph database built for fast analytical workloads, developed as the successor to Graphflow. Archived in October 2025 after acquisition by Apple. Forked as LadybugDB and Bighorn.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 Kuzu Inc (acquired by Apple)Neo4j Inc
Model Property GraphProperty Graph
Kind embeddeddatabase
Category EmergingEstablished
First released 2022-112007
Status deprecated — Acquired by Apple in October 2025. Repository archived. Continued as LadybugDB and Bighorn forks.active
License MITGPL-3.0
Written in C++Java
Query languages openCypherCypher, GQL
gdotv support yesyes

Feature scores — not surveyed for Kuzu

Feature KuzuNeo4j
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 —·