pg_ladybug vs FalkorDB

Both are property graph databases queried with openCypher. pg_ladybug (2026-07, PostgreSQL, C) ranks #156 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5.

Attribute pg_ladybug #156 new Emerging FalkorDB #5 ▲1 Leader
At a glance
Rank #156#5
Score 8.769.8
GitHub stars 57.7k
Popularity 26.168.1
Activity 38.678.6
Community 34.669.8
Research 50.055.3
Fundamentals
Description A PostgreSQL extension that embeds the LadybugDB engine to run Cypher queries from SQL. Registered Postgres tables act as node and relationship labels, and Ladybug's planner rewrites each pattern into a single SQL join executed natively by Postgres; Cypher can also run against Ladybug-native tables stored in the data directory.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 LadybugDBFalkorDB
Model Property GraphProperty Graph
Kind extensiondatabase
Category EmergingEstablished
First released 2026-072018-07
Status activeactive
License PostgreSQLSSPL-1.0
Written in CC
Query languages openCypher, SQLopenCypher
gdotv support noyes

Feature scores — not surveyed for pg_ladybug

Feature pg_ladybugFalkorDB
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