MillenniumDB vs Neptune

Both are multiple databases queried with SPARQL. MillenniumDB (2021, GPL-2.0, C++) ranks #91 this month; Neptune (2017-11, Proprietary, C++) ranks #14.

Attribute MillenniumDB #91 ▼3 Growing Neptune #14 ▲2 Strong
At a glance
Rank #91#14
Score 38.861.1
GitHub stars 267—
Popularity 40.161.0
Activity 51.160.9
Community 30.361.8
Research 56.560.4
Fundamentals
Description An open-source, multi-model graph database supporting property graphs, RDF, and a multilayered graph format. Built on relational storage techniques and worst-case optimal join algorithms, with query support via SPARQL 1.1, GQL, and a proprietary Cypher-like language.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 IMFD ChileAmazon Web Services
Model MultipleMultiple
Kind databasedatabase
Category EmergingEnterprise
First released 20212017-11
Status activeactive
License GPL-2.0Proprietary
Written in C++C++
Query languages GQL, SPARQLGremlin, SPARQL, openCypher
gdotv support noyes

Feature scores — not surveyed for MillenniumDB

Feature MillenniumDBNeptune
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 —✓