Data Graphs vs Neptune

Both are multiple databases queried with openCypher. Data Graphs (2021-06, Proprietary, Rust) ranks #105 this month; Neptune (2017-11, Proprietary, C++) ranks #4.

Attribute Data Graphs #105 ▲7 Growing Neptune #4 ▼3 Leader
At a glance
Rank #105#4
Score 35.765.5
GitHub stars
Popularity 81.2
Activity 95.095.5
Community 31.253.7
Research 58.4
Fundamentals
Description A proprietary graph database built in Rust with a hybrid model combining labeled property graph and RDF/OWL ontology semantics, queried with openCypher and ISO GQL. Sits within an agentic AI data platform offering governance, GraphRAG, and MCP-native access; deployable as SaaS, on-premises, or on-device.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).
Vendor Data LanguageAmazon Web Services
Model MultipleMultiple
Kind databasedatabase
Category EmergingEnterprise
First released 2021-062017-11
Status activeactive
License ProprietaryProprietary
Written in RustC++
Query languages openCypher, GQLGremlin, SPARQL, openCypher
gdotv support noyes

Feature scores — not surveyed for Data Graphs

Feature Data GraphsNeptune
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