Oracle Graph vs Raphtory

Oracle Graph is a multiple database; Raphtory is a property graph database. Oracle Graph (2005, Proprietary, Java) ranks #30 this month; Raphtory (2020-12, GPL-3.0, Rust) ranks #32.

Attribute Oracle Graph #30 ▲1 Strong Raphtory #32 ▲2 Strong
At a glance
Rank #30#32
Score 55.655.3
GitHub stars 641
Popularity 36.856.1
Activity 62.575.7
Community 62.830.6
Research 95.768.7
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.An in-memory temporal graph database written in Rust with Python and Rust APIs. Tracks graph changes over time with time-traveling queries across historical states. Supports multilayer graph modeling, built-in graph algorithms, and full-text search. Includes a GraphQL server with a bundled exploration UI.
Vendor OraclePometry
Model MultipleProperty Graph
Kind databasedatabase
Category EnterpriseEmerging
First released 20052020-12
Status activeactive
License ProprietaryGPL-3.0
Written in JavaRust
Query languages SQL/PGQ, PGQL, SPARQLGraphQL
gdotv support yesno

Feature scores — not surveyed for Raphtory

Feature Oracle GraphRaphtory
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