Neptune vs NodeDB

Both are multiple databases queried with openCypher. Neptune (2017-11, Proprietary, C++) ranks #7 this month; NodeDB (2026-04, BUSL-1.1, Rust) ranks #103. They differ on 21 of 46 surveyed features.

Attribute Neptune #7 = Strong NodeDB #103 ▼5 Growing
At a glance
Rank #7#103
Score 63.335.3
GitHub stars 194
Popularity 67.338.2
Activity 99.050.9
Community 53.957.0
Research 59.150.4
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