Data Graphs vs Neo4j

Data Graphs is a multiple database; Neo4j is a property graph database. Data Graphs (2021-06, Proprietary, Rust) ranks #111 this month; Neo4j (2007, GPL-3.0, Java) ranks #1.

Attribute Data Graphs #111 ▼6 Growing Neo4j #1 = Leader
At a glance
Rank #111#1
Score 33.888.8
GitHub stars —17.3k
Popularity 40.398.6
Activity 60.286.5
Community 33.673.8
Research —98.7
Fundamentals
Description A proprietary graph database built in Rust with a hybrid model combining labeled property graph and RDF/OWL ontology semantics, queried with openCypher and ISO GQL. Sits within an agentic AI data platform offering governance, GraphRAG, and MCP-native access; deployable as SaaS, on-premises, or on-device.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 Data LanguageNeo4j Inc
Model MultipleProperty Graph
Kind databasedatabase
Category EmergingEstablished
First released 2021-062007
Status activeactive
License ProprietaryGPL-3.0
Written in RustJava
Query languages openCypher, GQLCypher, GQL
gdotv support noyes

Feature scores — not surveyed for Data Graphs

Feature Data GraphsNeo4j
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 —·