Kinetica vs FalkorDB

Kinetica is a multiple database; FalkorDB is a property graph database. Kinetica (2009, Proprietary, C++) ranks #57 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5.

Attribute Kinetica #57 = Growing FalkorDB #5 ▲1 Leader
At a glance
Rank #57#5
Score 45.669.8
GitHub stars —10.5k
Popularity 41.068.1
Activity 56.278.6
Community 34.769.8
Research 51.455.3
Fundamentals
Description A GPU-accelerated analytical database with a graph solver component for shortest path, pattern matching, and geospatial network analysis. Uses proprietary SQL extensions for graph operations on weighted and directed graphs. Also supports spatial, time-series, and vector search workloads.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 KineticaFalkorDB
Model MultipleProperty Graph
Kind databasedatabase
Category EstablishedEstablished
First released 20092018-07
Status activeactive
License ProprietarySSPL-1.0
Written in C++C
Query languages SQLopenCypher
gdotv support noyes

Feature scores — not surveyed for Kinetica

Feature KineticaFalkorDB
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