GFQL vs LiveGraph

GFQL is a property graph database; LiveGraph is a other database. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; LiveGraph (2020, Apache-2.0, C++) ranks #146.

Attribute GFQL #20 ▼2 Strong LiveGraph #146 ▼10 Emerging
At a glance
Rank #20#146
Score 56.715.2
GitHub stars 2.6k58
Popularity 53.831.4
Activity 62.244.6
Community 57.534.7
Research 50.067.9
Fundamentals
Description A dataframe-native graph query language with vectorized processing and optional GPU acceleration. Supports Cypher-like syntax, embedded within the PyGraphistry library.An academic research prototype for graph storage using a Transactional Edge Log (TEL) data structure. Supports both transactional and analytical workloads with a property graph model on a single server.
Vendor Graphistry—
Model Property GraphOther
Kind query-engineembedded
Category GrowingEmerging
First released 20232020
Status activeinactive — Academic research prototype. No active development.
License BSD-3-ClauseApache-2.0
Written in PythonC++
Query languages GFQL, openCypherCustom API
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLLiveGraph
Community & Business
Active development —·
Commercial support —·
Live community —·
Open Source —✓
Pricing —·
Trendiness —·
Deployment
Containerization —·
Work as dedicated instance —✓
Work as embedded —·
Testing in-memory version —✓
Platform
Operating on Linux —✓
Operating on Windows —0.75
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 —0.5
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 —·