Oracle Graph vs Quine

Oracle Graph is a multiple database; Quine is a property graph database. Oracle Graph (2005, Proprietary, Java) ranks #38 this month; Quine (2022-02, MIT + Commons Clause, Scala) ranks #53.

Attribute Oracle Graph #38 ▲5 Growing Quine #53 ▼2 Growing
At a glance
Rank #38#53
Score 49.746.6
GitHub stars —364
Popularity 35.247.7
Activity 51.756.9
Community 62.630.3
Research 53.350.8
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 streaming graph engine written in Scala that ingests event streams and builds them into a stateful graph in real time. Uses standing queries to continuously match patterns and trigger actions as data arrives. Supports pluggable persistence via RocksDB, Cassandra, and ScyllaDB.
Vendor OraclethatDot
Model MultipleProperty Graph
Kind databasedatabase
Category EnterpriseEmerging
First released 20052022-02
Status activeactive
License ProprietaryMIT + Commons Clause
Written in JavaScala
Query languages SQL/PGQ, PGQL, SPARQLopenCypher, Gremlin
gdotv support yesno

Feature scores — not surveyed for Quine

Feature Oracle GraphQuine
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 ✓—