Google Cloud BigQuery Graph vs SurrealDB

Google Cloud BigQuery Graph is a property graph database; SurrealDB is a multiple database. Google Cloud BigQuery Graph (2026-04, Proprietary, C++) ranks #65 this month; SurrealDB (2022-07, BUSL-1.1, Rust) ranks #8.

Attribute Google Cloud BigQuery Graph #65 ▼15 Growing SurrealDB #8 ▲1 Leader
At a glance
Rank #65#8
Score 44.465.8
GitHub stars —33.3k
Popularity 54.174.2
Activity 49.963.3
Community 33.466.7
Research 50.052.2
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 multi-model database written in Rust that combines document, graph, and relational paradigms. Uses inter-document record links for graph traversals, with ACID transactions and row-level permissions.
Vendor GoogleSurrealDB
Model Property GraphMultiple
Kind databasedatabase
Category EnterpriseGrowing
First released 2026-042022-07
Status activeactive
License ProprietaryBUSL-1.1
Written in C++Rust
Query languages GQL, SQL/PGQSurrealQL, GraphQL, GQL
gdotv support yesno

Feature scores — not surveyed for Google Cloud BigQuery Graph

Feature Google Cloud BigQuery GraphSurrealDB
Community & Business
Active development —✓
Commercial support —✓
Live community —0.75
Open Source —0.5
Pricing —✓
Trendiness —✓
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 —0.5
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 —0.5
Read committed transaction —✓
Transaction support —✓
Schema & Security
Constraints —✓
Schema support —✓
Secondary indexes —✓
Server side procedures —✓
Triggers —✓
Authentication —✓
Authorization —✓
Data encryption —0.5