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Apache HugeGraph vs FalkorDB

Both are property graph databases queried with openCypher. Apache HugeGraph (2018-08, Apache-2.0, Java) ranks #37 this month; FalkorDB (2018, SSPL-1.0, C) ranks #8. They differ on 25 of 46 surveyed features.

Attribute Apache HugeGraph #37 ▼1 Strong FalkorDB #8 ▲3 Strong
At a glance
Rank #37#8
Score 52.062.2
GitHub stars 3.1k4.9k
Popularity 75.858.9
Activity 45.079.5
Community 38.766.2
Research 50.454.9
Fundamentals
Description A TinkerPop 3-compliant property graph database with a pluggable storage layer supporting RocksDB, Cassandra, and HBase. Uses edge-cut partitioning for distributed graph processing.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 Apache Software FoundationFalkorDB
Model Property GraphProperty Graph
Kind databasedatabase
Category EstablishedEstablished
First released 2018-082018
Status activeactive
License Apache-2.0SSPL-1.0
Written in JavaC
Query languages Gremlin, openCypheropenCypher
gdotv support noyes

Feature scores 25 of 46 rows differ

Feature Apache HugeGraphFalkorDB
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 0.5
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 0.5·
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