PandaDB vs FalkorDB

Both are property graph databases queried with openCypher. PandaDB (2019, Apache-2.0, Scala) ranks #122 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #6. They differ on 24 of 46 surveyed features.

Attribute PandaDB #122 ▲6 Emerging FalkorDB #6 ▼2 Strong
At a glance
Rank #122#6
Score 26.164.6
GitHub stars 85.8k
Popularity 19.363.1
Activity 20.880.0
Community 30.672.1
Research 53.954.3
Fundamentals
Description A distributed property graph database built on Neo4j, extending it with CypherPlus for managing both structured and unstructured data with AI model inference.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 FalkorDB
Model Property GraphProperty Graph
Kind databasedatabase
Category EmergingEstablished
First released 20192018-07
Status inactive — No development activity since 2022active
License Apache-2.0SSPL-1.0
Written in ScalaC
Query languages openCypheropenCypher
gdotv support noyes

Feature scores 24 of 46 rows differ

Feature PandaDBFalkorDB
Community & Business
Active development 0.5
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 0.5·
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