Neptune vs NodeDB

Both are multiple databases queried with openCypher. Neptune (2017-11, Proprietary, C++) ranks #14 this month; NodeDB (2026-04, BUSL-1.1, Rust) ranks #96. They differ on 21 of 46 surveyed features.

Attribute Neptune #14 ▲2 Strong NodeDB #96 ▲3 Growing
At a glance
Rank #14#96
Score 61.137.9
GitHub stars —230
Popularity 61.041.7
Activity 60.951.5
Community 61.854.0
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 multi-model database written in Rust that runs document, key-value, columnar, timeseries, spatial, vector, and array engines in a single binary over shared storage, with graph and full-text search as cross-engine overlays on any collection. Its graph overlay uses a CSR adjacency index with 13 built-in algorithms and a Cypher-subset MATCH syntax, and fuses graph traversal with vector search in a single query for GraphRAG. Speaks SQL over a native MessagePack protocol and the PostgreSQL wire protocol, alongside HTTP/REST, WebSocket, RESP, and ILP.
Vendor Amazon Web ServicesNodeDB-Lab
Model MultipleMultiple
Kind databasedatabase
Category EnterpriseEmerging
First released 2017-112026-04
Status activeactive
License ProprietaryBUSL-1.1
Written in C++Rust
Query languages Gremlin, SPARQL, openCypherSQL, openCypher
gdotv support yesno

Feature scores 21 of 46 rows differ

Feature NeptuneNodeDB
Community & Business
Active development ✓✓
Commercial support ✓✓
Live community ✓✓
Open Source ·0.5
Pricing ✓·
Trendiness ✓·
Deployment
Containerization ·✓
Work as dedicated instance ✓✓
Work as embedded ··
Testing in-memory version ··
Platform
Operating on Linux ✓✓
Operating on Windows ·0.5
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 ·0.5
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 ✓0.5
Read committed transaction ✓✓
Transaction support ✓✓
Schema & Security
Constraints ✓✓
Schema support 0.5✓
Secondary indexes ✓✓
Server side procedures ·✓
Triggers ·✓
Authentication ✓✓
Authorization ✓✓
Data encryption ✓✓