Oracle Graph vs Google Cloud Spanner Graph

Oracle Graph is a multiple database; Google Cloud Spanner Graph is a property graph database. Oracle Graph (2005, Proprietary, Java) ranks #30 this month; Google Cloud Spanner Graph (2024-08, Proprietary, C++) ranks #37.

Attribute Oracle Graph #30 ▲1 Strong Google Cloud Spanner Graph #37 ▼2 Strong
At a glance
Rank #30#37
Score 55.653.0
GitHub stars
Popularity 36.865.2
Activity 62.549.4
Community 62.855.1
Research 95.749.6
Fundamentals
Description Oracle's graph database capabilities within Oracle Database, supporting both property graphs (SQL/PGQ and PGQL) and RDF/SPARQL. Includes in-memory graph analytics with 60+ built-in algorithms.A graph layer within Google Cloud Spanner that enables property graph queries over relational data using GQL and SQL/PGQ. Inherits Spanner's global distribution, strong consistency, and ACID transactions.
Vendor OracleGoogle
Model MultipleProperty Graph
Kind databasedatabase
Category EnterpriseEnterprise
First released 20052024-08
Status activeactive
License ProprietaryProprietary
Written in JavaC++
Query languages SQL/PGQ, PGQL, SPARQLGQL, SQL/PGQ
gdotv support yesyes

Feature scores — not surveyed for Google Cloud Spanner Graph

Feature Oracle GraphGoogle Cloud Spanner Graph
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 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
Read committed transaction
Transaction support
Schema & Security
Constraints
Schema support
Secondary indexes
Server side procedures 0.5
Triggers
Authentication
Authorization
Data encryption