Neptune vs TurboLynx

Neptune is a multiple database; TurboLynx is a property graph database. Neptune (2017-11, Proprietary, C++) ranks #14 this month; TurboLynx (2025-12, MIT, C++) ranks #122.

Attribute Neptune #14 ▲2 Strong TurboLynx #122 ▼2 Emerging
At a glance
Rank #14#122
Score 61.127.9
GitHub stars —25
Popularity 61.035.8
Activity 60.946.7
Community 61.831.5
Research 60.455.3
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, schemaless property graph database for analytical (OLAP) workloads that stores data as columnar "Graphlets" and answers openCypher queries through a Cascades-style optimizer forked from Greenplum's ORCA. Built on DuckDB's vectorized execution and developed at POSTECH, it ships as a single shared library with no server.
Vendor Amazon Web ServicesPOSTECH (DSLab)
Model MultipleProperty Graph
Kind databaseembedded
Category EnterpriseEmerging
First released 2017-112025-12
Status activeactive
License ProprietaryMIT
Written in C++C++
Query languages Gremlin, SPARQL, openCypheropenCypher
gdotv support yesno

Feature scores — not surveyed for TurboLynx

Feature NeptuneTurboLynx
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 ✓—