NornicDB vs FalkorDB

Both are property graph databases queried with openCypher. NornicDB (2025-12, MIT, Go) ranks #41 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5.

Attribute NornicDB #41 ▲22 Growing FalkorDB #5 ▲1 Leader
At a glance
Rank #41#5
Score 49.369.8
GitHub stars 91910.5k
Popularity 50.368.1
Activity 64.078.6
Community 30.369.8
Research 50.055.3
Fundamentals
Description A hybrid graph and vector database written in Go with Neo4j compatibility via the Bolt protocol. Supports Cypher queries, native vector search with GPU acceleration, and a tiered memory system with episodic, semantic, and procedural decay. Includes a versioned graph ledger with temporal validity and as-of reads.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 ornerydFalkorDB
Model Property GraphProperty Graph
Kind databasedatabase
Category EmergingEstablished
First released 2025-122018-07
Status activeactive
License MITSSPL-1.0
Written in GoC
Query languages openCypher, GraphQLopenCypher
gdotv support noyes

Feature scores — not surveyed for NornicDB

Feature NornicDBFalkorDB
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