Neo4j vs NodeDB

Neo4j is a property graph database; NodeDB is a multiple database. Neo4j (2007, GPL-3.0, Java) ranks #1 this month; NodeDB (2026-04, BUSL-1.1, Rust) ranks #96. They differ on 14 of 46 surveyed features.

Attribute Neo4j #1 = Leader NodeDB #96 ▲3 Growing
At a glance
Rank #1#96
Score 88.837.9
GitHub stars 17.3k227
Popularity 98.641.7
Activity 86.551.5
Community 73.854.0
Research 98.750.0
Fundamentals
Description 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.A multi-model database written in Rust that runs document, key-value, columnar, timeseries, spatial, vector, and array engines in a single binary over shared storage, with graph and full-text search as cross-engine overlays on any collection. Its graph overlay uses a CSR adjacency index with 13 built-in algorithms and a Cypher-subset MATCH syntax, and fuses graph traversal with vector search in a single query for GraphRAG. Speaks SQL over a native MessagePack protocol and the PostgreSQL wire protocol, alongside HTTP/REST, WebSocket, RESP, and ILP.
Vendor Neo4j IncNodeDB-Lab
Model Property GraphMultiple
Kind databasedatabase
Category EstablishedEmerging
First released 20072026-04
Status activeactive
License GPL-3.0BUSL-1.1
Written in JavaRust
Query languages Cypher, GQLSQL, openCypher
gdotv support yesno

Feature scores 14 of 46 rows differ

Feature Neo4jNodeDB
Community & Business
Active development ✓✓
Commercial support ✓✓
Live community ✓✓
Open Source ✓0.5
Pricing 0.5·
Trendiness ✓·
Deployment
Containerization ✓✓
Work as dedicated instance ✓✓
Work as embedded ✓·
Testing in-memory version ✓·
Platform
Operating on Linux ✓✓
Operating on Windows ✓0.5
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 ✓0.5
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 ✓0.5
Read committed transaction ✓✓
Transaction support ✓✓
Schema & Security
Constraints ✓✓
Schema support ✓✓
Secondary indexes ✓✓
Server side procedures ✓✓
Triggers ✓✓
Authentication ✓✓
Authorization ✓✓
Data encryption ·✓