Neptune vs TypeGraph

Neptune is a multiple database; TypeGraph is a property graph database. Neptune (2017-11, Proprietary, C++) ranks #4 this month; TypeGraph (2026-02, MIT, TypeScript) ranks #136.

Attribute Neptune #4 ▼3 Leader TypeGraph #136 ▲5 Emerging
At a glance
Rank #4#136
Score 65.518.8
GitHub stars 79
Popularity 81.233.6
Activity 95.559.8
Community 53.769.4
Research 58.449.4
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).An embedded graph library for TypeScript applications that keeps property graph data in an existing SQLite or PostgreSQL database, compiling typed traversals to SQL rather than running a separate graph service. Node and edge schemas are declared with Zod and carry ontology relations such as subClassOf and inverseOf, alongside vector and keyword search through pgvector, sqlite-vec, and libSQL.
Vendor Amazon Web ServicesNicia AI
Model MultipleProperty Graph
Kind databaselibrary
Category EnterpriseEmerging
First released 2017-112026-02
Status activeactive
License ProprietaryMIT
Written in C++TypeScript
Query languages Gremlin, SPARQL, openCypherCustom API
gdotv support yesno

Feature scores — not surveyed for TypeGraph

Feature NeptuneTypeGraph
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