GFQL vs ZipG

GFQL is a property graph database; ZipG is a other database. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; ZipG (2017, C++) ranks #83.

Attribute GFQL #20 ▼2 Strong ZipG #83 ▲1 Growing
At a glance
Rank #20#83
Score 56.740.3
GitHub stars 2.6k13
Popularity 53.834.0
Activity 62.237.4
Community 57.549.3
Research 50.053.0
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 research prototype graph store that executes queries directly on a compressed graph representation for memory efficiency. Lacks traditional database features such as transactions and replication.
Vendor Graphistry—
Model Property GraphOther
Kind query-engineembedded
Category GrowingEmerging
First released 20232017
Status activeinactive — Academic research prototype from AMPLab Berkeley. No active development.
License BSD-3-Clause—
Written in PythonC++
Query languages GFQL, openCypherCustom API
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLZipG
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 —·