Data Graphs vs Neo4j

Data Graphs is a multiple database; Neo4j is a property graph database. Data Graphs (2021-06, Proprietary, Rust) ranks #105 this month; Neo4j (2007, GPL-3.0, Java) ranks #1.

Attribute Data Graphs #105 ▲7 Growing Neo4j #1 = Leader
At a glance
Rank #105#1
Score 35.783.3
GitHub stars 17.2k
Popularity 97.3
Activity 95.086.7
Community 31.290.2
Research 98.6
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 ·