Neptune vs ONgDB

Neptune is a multiple database; ONgDB is a property graph database. Neptune (2017-11, Proprietary, C++) ranks #14 this month; ONgDB (2018, GPL-3.0 OR AGPL-3.0, Java) ranks #130.

Attribute Neptune #14 ▲2 Strong ONgDB #130 ▼6 Emerging
At a glance
Rank #14#130
Score 61.124.0
GitHub stars —439
Popularity 61.043.0
Activity 60.941.4
Community 61.834.7
Research 60.450.0
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).A community fork of Neo4j Enterprise Edition 3.4 maintained by the Graph Foundation under GPLv3 and AGPLv3. Continues development of high-availability clustering and ACID transactions, with Cypher rebranded as Geequel.
Vendor Amazon Web ServicesGraph Foundation
Model MultipleProperty Graph
Kind databasedatabase
Category EnterpriseEmerging
First released 2017-112018
Status activeactive
License ProprietaryGPL-3.0 OR AGPL-3.0
Written in C++Java
Query languages Gremlin, SPARQL, openCypherCypher
gdotv support yesno

Feature scores — not surveyed for ONgDB

Feature NeptuneONgDB
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 ✓—