GFQL vs Sparksee

Both are property graph databases queried with openCypher. GFQL (2023, BSD-3-Clause, Python) ranks #19 this month; Sparksee (2008, Proprietary, C++) ranks #98.

Attribute GFQL #19 ▲2 Strong Sparksee #98 ▲20 Growing
At a glance
Rank #19#98
Score 58.938.3
GitHub stars 2.6k
Popularity 62.326.1
Activity 63.731.9
Community 68.835.3
Research 49.649.8
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 (formerly DEX) that stores graphs as labelled multigraphs using bitmap data structures for compact representation. Supports ACID transactions and offers free licenses for evaluation and research use.
Vendor GraphistrySparsity Technologies
Model Property GraphProperty Graph
Kind query-enginedatabase
Category GrowingEstablished
First released 20232008
Status activeactive
License BSD-3-ClauseProprietary
Written in PythonC++
Query languages GFQL, openCypheropenCypher
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLSparksee
Community & Business
Active development ·
Commercial support
Live community ·
Open Source ·
Pricing ·
Trendiness 0.5
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