Google Cloud BigQuery Graph vs Dgraph

Both are property graph databases. Google Cloud BigQuery Graph (2026-04, Proprietary, C++) ranks #65 this month; Dgraph (2015-12, Apache-2.0, Go) ranks #3.

Attribute Google Cloud BigQuery Graph #65 ▼15 Growing Dgraph #3 = Leader
At a glance
Rank #65#3
Score 44.473.6
GitHub stars —21.8k
Popularity 54.182.0
Activity 49.970.1
Community 33.473.5
Research 50.064.3
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 distributed graph database with horizontal scaling and ACID transactions. Uses its own query language (DQL) derived from GraphQL, with automatic shard rebalancing across cluster nodes.
Vendor GoogleIstari
Model Property GraphProperty Graph
Kind databasedatabase
Category EnterpriseEnterprise
First released 2026-042015-12
Status activeactive
License ProprietaryApache-2.0
Written in C++Go
Query languages GQL, SQL/PGQDQL, GraphQL
gdotv support yesyes

Feature scores — not surveyed for Google Cloud BigQuery Graph

Feature Google Cloud BigQuery GraphDgraph
Community & Business
Active development —✓
Commercial support —✓
Live community —0.5
Open Source —✓
Pricing —·
Trendiness —0.25
Deployment
Containerization —✓
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 —✓
Data Distribution —✓
High-Availability —✓
Query Distribution —✓
Replication support —✓
Developer Experience
Data types defined —✓
Logging/Auditing —0.5
Object-Graph Mapper —·
Reactive programming —·
Documentation up-to-date —0.5
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 —·
Authentication —✓
Authorization —✓
Data encryption —✓