Grust vs Neo4j

Both are property graph databases. Grust (2026-05, Apache-2.0, Rust) ranks #141 this month; Neo4j (2007, GPL-3.0, Java) ranks #1.

Attribute Grust #141 new Emerging Neo4j #1 = Leader
At a glance
Rank #141#1
Score 11.278.8
GitHub stars 2217.2k
Popularity 15.593.8
Activity 41.782.8
Community 58.877.2
Research 67.398.6
Fundamentals
Description A backend-neutral property graph API for Rust that models graphs as labeled nodes and edges with typed properties, expressing traversals as an intermediate representation rather than a query-language string. Ships an async GraphStore trait with adapters for SurrealDB, HelixDB, FalkorDB, LanceDB, PostgreSQL, Turso, and Spark, plus a deterministic in-memory store.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 QueryGraphNeo4j Inc
Model Property GraphProperty Graph
Kind librarydatabase
Category EmergingEstablished
First released 2026-052007
Status activeactive
License Apache-2.0GPL-3.0
Written in RustJava
Query languages Custom APICypher, GQL
gdotv support noyes

Feature scores — not surveyed for Grust

Feature GrustNeo4j
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 ·