Graph Engine vs Neptune

Graph Engine is a property graph database; Neptune is a multiple database. Graph Engine (2015-05, MIT, C#) ranks #73 this month; Neptune (2017-11, Proprietary, C++) ranks #14.

Attribute Graph Engine #73 ▼5 Growing Neptune #14 ▲2 Strong
At a glance
Rank #73#14
Score 42.761.1
GitHub stars 2.3k—
Popularity 54.461.0
Activity 46.460.9
Community —61.8
Research 51.260.4
Fundamentals
Description A distributed, in-memory graph processing engine developed by Microsoft Research, originally known as Trinity. Supports large-scale graph computation on a memory cloud architecture.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).
Vendor MicrosoftAmazon Web Services
Model Property GraphMultiple
Kind databasedatabase
Category EnterpriseEnterprise
First released 2015-052017-11
Status inactive — Microsoft Research project. Limited recent activity.active
License MITProprietary
Written in C#C++
Query languages LIKQGremlin, SPARQL, openCypher
gdotv support noyes

Feature scores — not surveyed for Graph Engine

Feature Graph EngineNeptune
Community & Business
Active development —✓
Commercial support —✓
Live community —✓
Open Source —·
Pricing —✓
Trendiness —✓
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 —0.5
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 —0.5
Secondary indexes —✓
Server side procedures —·
Triggers —·
Authentication —✓
Authorization —✓
Data encryption —✓