GraphScope vs FalkorDB

Both are property graph databases queried with openCypher. GraphScope (2020-12, Apache-2.0, C++) ranks #49 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5.

Attribute GraphScope #49 ▼9 Growing FalkorDB #5 ▲1 Leader
At a glance
Rank #49#5
Score 48.069.8
GitHub stars 3.6k10.5k
Popularity 54.268.1
Activity 32.578.6
Community 52.369.8
Research 59.755.3
Fundamentals
Description A distributed graph computing platform from Alibaba combining three engines: GRAPE for analytics, an interactive engine for traversals, and Graph-Learn for graph neural networks. Exposes a unified Python interface that runs across a cluster of machines and supports both Gremlin and Cypher.A property graph database that runs as a Redis module, formerly RedisGraph. Uses GraphBLAS sparse matrix operations for query execution, enabling parallel graph traversal.
Vendor AlibabaFalkorDB
Model Property GraphProperty Graph
Kind databasedatabase
Category GrowingEstablished
First released 2020-122018-07
Status activeactive
License Apache-2.0SSPL-1.0
Written in C++C
Query languages Gremlin, openCypheropenCypher
gdotv support noyes

Feature scores — not surveyed for GraphScope

Feature GraphScopeFalkorDB
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 —0.75
SaaS offering —·
Operations
Automatic updates —·
Client side caching —0.5
Data versioning support —·
Live backups —0.5
Distribution
Cluster Re-balancing —·
Data Distribution —·
High-Availability —0.5
Query Distribution —·
Replication support —✓
Developer Experience
Data types defined —✓
Logging/Auditing —0.5
Object-Graph Mapper —✓
Reactive programming —0.5
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 —0.5
Authentication —0.5
Authorization —0.5
Data encryption —0.5