Data Graphs vs FalkorDB

Data Graphs is a multiple database; FalkorDB is a property graph database. Data Graphs (2021-06, Proprietary, Rust) ranks #111 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5.

Attribute Data Graphs #111 ▼6 Growing FalkorDB #5 ▲1 Leader
At a glance
Rank #111#5
Score 33.869.8
GitHub stars —10.5k
Popularity 40.368.1
Activity 60.278.6
Community 33.669.8
Research —55.3
Fundamentals
Description A proprietary graph database built in Rust with a hybrid model combining labeled property graph and RDF/OWL ontology semantics, queried with openCypher and ISO GQL. Sits within an agentic AI data platform offering governance, GraphRAG, and MCP-native access; deployable as SaaS, on-premises, or on-device.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 Data LanguageFalkorDB
Model MultipleProperty Graph
Kind databasedatabase
Category EmergingEstablished
First released 2021-062018-07
Status activeactive
License ProprietarySSPL-1.0
Written in RustC
Query languages openCypher, GQLopenCypher
gdotv support noyes

Feature scores — not surveyed for Data Graphs

Feature Data GraphsFalkorDB
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