GFQL vs Neo4j

Both are property graph databases queried with openCypher. GFQL (2023, BSD-3-Clause, Python) ranks #19 this month; Neo4j (2007, GPL-3.0, Java) ranks #1.

Attribute GFQL #19 ▲2 Strong Neo4j #1 = Leader
At a glance
Rank #19#1
Score 58.983.3
GitHub stars 2.6k17.2k
Popularity 62.397.3
Activity 63.786.7
Community 68.890.2
Research 49.698.6
Fundamentals
Description A dataframe-native graph query language with vectorized processing and optional GPU acceleration. Supports Cypher-like syntax, embedded within the PyGraphistry library.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 GraphistryNeo4j Inc
Model Property GraphProperty Graph
Kind query-enginedatabase
Category GrowingEstablished
First released 20232007
Status activeactive
License BSD-3-ClauseGPL-3.0
Written in PythonJava
Query languages GFQL, openCypherCypher, GQL
gdotv support noyes

Feature scores — not surveyed for GFQL

Feature GFQLNeo4j
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 ·