Neptune vs TurboLynx

Neptune is a multiple database; TurboLynx is a property graph database. Neptune (2017-11, Proprietary, C++) ranks #7 this month; TurboLynx (2025-12, MIT, C++) ranks #119.

Attribute Neptune #7 = Strong TurboLynx #119 ▲4 Emerging
At a glance
Rank #7#119
Score 63.325.1
GitHub stars 25
Popularity 67.323.7
Activity 99.043.8
Community 53.932.4
Research 59.152.3
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