GDB-Engines

The go-to resource for graph technology details

About

ArangoDB vs Google Cloud BigQuery Graph

ArangoDB is a multiple database; Google Cloud BigQuery Graph is a property graph database. ArangoDB (2012-03, BSL-1.1, C++) ranks #2 this month; Google Cloud BigQuery Graph (2026-04, Proprietary) ranks #33.

Attribute ArangoDB #2 = Leader Google Cloud BigQuery Graph #33 ▲1 Strong
At a glance
Rank #2#33
Score 67.554.0
GitHub stars 14.2k
Popularity 87.793.9
Activity 74.049.8
Community 52.048.4
Research 78.950.4
Fundamentals
Description A multi-model database supporting graphs, key-value pairs, and documents in a unified JSON-based data model. Offers both an in-memory storage engine and a RocksDB-based engine for larger datasets.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.
Vendor ArangoDB IncGoogle
Model MultipleProperty Graph
Kind databasedatabase
Category EnterpriseEnterprise
First released 2012-032026-04
Status activeactive
License BSL-1.1Proprietary
Written in C++
Query languages AQLGQL, SQL/PGQ
gdotv support noyes

Feature scores — not surveyed for Google Cloud BigQuery Graph

Feature ArangoDBGoogle Cloud BigQuery Graph
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
Object-Graph Mapper
Reactive programming ·
Documentation up-to-date
Binary protocol
CLI
GUI
Data Model
Multi-database
Graph-native data ·
REST API
Query Language 0.5
Transactions
Granular locking ·
Multiple isolation levels ·
Read committed transaction ·
Transaction support
Schema & Security
Constraints
Schema support 0.5
Secondary indexes
Server side procedures 0.5
Triggers ·
Authentication
Authorization 0.5
Data encryption