Google Cloud BigQuery Graph vs FalkorDB

Both are property graph databases. Google Cloud BigQuery Graph (2026-04, Proprietary, C++) ranks #65 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5.

Attribute Google Cloud BigQuery Graph #65 ▼15 Growing FalkorDB #5 ▲1 Leader
At a glance
Rank #65#5
Score 44.469.8
GitHub stars —10.5k
Popularity 54.168.1
Activity 49.978.6
Community 33.469.8
Research 50.055.3
Fundamentals
Description A graph layer within Google Cloud BigQuery that runs property graph queries over warehouse tables using GQL, without a separate graph store. Property graphs are defined as views over existing tables and queried at analytical scale.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 GoogleFalkorDB
Model Property GraphProperty Graph
Kind databasedatabase
Category EnterpriseEstablished
First released 2026-042018-07
Status activeactive
License ProprietarySSPL-1.0
Written in C++C
Query languages GQL, SQL/PGQopenCypher
gdotv support yesyes

Feature scores — not surveyed for Google Cloud BigQuery Graph

Feature Google Cloud BigQuery GraphFalkorDB
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