Google Cloud BigQuery Graph vs Cosmos DB

Google Cloud BigQuery Graph is a property graph database; Cosmos DB is a multiple database. Google Cloud BigQuery Graph (2026-04, Proprietary, C++) ranks #65 this month; Cosmos DB (2014-08, Proprietary, C++) ranks #29.

Attribute Google Cloud BigQuery Graph #65 ▼15 Growing Cosmos DB #29 ▼1 Strong
At a glance
Rank #65#29
Score 44.454.1
GitHub stars ——
Popularity 54.153.8
Activity 49.949.9
Community 33.439.1
Research 50.087.7
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 globally distributed multi-model database service on Microsoft Azure with property graph support through the Apache Gremlin API. Offers multi-region replication and multiple consistency models.
Vendor GoogleMicrosoft
Model Property GraphMultiple
Kind databasedatabase
Category EnterpriseEnterprise
First released 2026-042014-08
Status activeactive
License ProprietaryProprietary
Written in C++C++
Query languages GQL, SQL/PGQGremlin, SQL
gdotv support yesyes

Feature scores — not surveyed for Google Cloud BigQuery Graph

Feature Google Cloud BigQuery GraphCosmos DB
Community & Business
Active development —✓
Commercial support —✓
Live community —0.5
Open Source —·
Pricing —✓
Trendiness —✓
Deployment
Containerization —0.5
Work as dedicated instance —✓
Work as embedded —·
Testing in-memory version —✓
Platform
Operating on Linux —·
Operating on Windows —✓
SaaS offering —✓
Operations
Automatic updates —✓
Client side caching —·
Data versioning support —·
Live backups —✓
Distribution
Cluster Re-balancing —0.5
Data Distribution —✓
High-Availability —✓
Query Distribution —✓
Replication support —✓
Developer Experience
Data types defined —·
Logging/Auditing —✓
Object-Graph Mapper —✓
Reactive programming —✓
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 —0.5
Schema & Security
Constraints —·
Schema support —·
Secondary indexes —✓
Server side procedures —✓
Triggers —✓
Authentication —✓
Authorization —✓
Data encryption —✓