FalkorDB vs Vadalog

FalkorDB is a property graph database; Vadalog is a other database. FalkorDB (2018-07, SSPL-1.0, C) ranks #5 this month; Vadalog (2018) ranks #89.

Attribute FalkorDB #5 ▲1 Leader Vadalog #89 new Growing
At a glance
Rank #5#89
Score 69.838.9
GitHub stars 10.5k—
Popularity 68.141.9
Activity 78.650.0
Community 69.834.6
Research 55.375.8
Fundamentals
Description A property graph database that runs as a Redis module, formerly RedisGraph. Uses GraphBLAS sparse matrix operations for query execution, enabling parallel graph traversal.A knowledge graph management system from the University of Oxford that reasons over knowledge graphs in the Vadalog language, built on Warded Datalog+/- to combine full recursion with ontological reasoning at polynomial data complexity. Developed in the VADA research programme and commercialised by Prometheux as Vadalog Parallel.
Vendor FalkorDBUniversity of Oxford
Model Property GraphOther
Kind databasequery-engine
Category EstablishedEmerging
First released 2018-072018
Status activeactive
License SSPL-1.0—
Written in C—
Query languages openCypherVadalog
gdotv support yesno

Feature scores — not surveyed for Vadalog

Feature FalkorDBVadalog
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—