Neptune vs Oracle Graph

Both are multiple databases queried with SPARQL. Neptune (2017-11, Proprietary, C++) ranks #14 this month; Oracle Graph (2005, Proprietary, Java) ranks #38. They differ on 12 of 46 surveyed features.

Attribute Neptune #14 ▲2 Strong Oracle Graph #38 ▲5 Growing
At a glance
Rank #14#38
Score 61.149.7
GitHub stars ——
Popularity 61.035.2
Activity 60.951.7
Community 61.862.6
Research 60.453.3
Fundamentals
Description A fully managed graph database service from AWS supporting both property graph and RDF models. Available as Neptune Database (for transactional workloads) and Neptune Analytics (for analytical queries).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.
Vendor Amazon Web ServicesOracle
Model MultipleMultiple
Kind databasedatabase
Category EnterpriseEnterprise
First released 2017-112005
Status activeactive
License ProprietaryProprietary
Written in C++Java
Query languages Gremlin, SPARQL, openCypherSQL/PGQ, PGQL, SPARQL
gdotv support yesyes

Feature scores 12 of 46 rows differ

Feature NeptuneOracle 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 0.5✓
Replication support ✓✓
Developer Experience
Data types defined 0.50.5
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 0.5✓
Secondary indexes ✓✓
Server side procedures ·0.5
Triggers ·✓
Authentication ✓✓
Authorization ✓✓
Data encryption ✓✓