Graphflow vs Neptune

Graphflow is a property graph database; Neptune is a multiple database. Graphflow (2017, MIT, Java) ranks #147 this month; Neptune (2017-11, Proprietary, C++) ranks #4. They differ on 31 of 46 surveyed features.

Attribute Graphflow #147 ▲9 Emerging Neptune #4 ▼3 Leader
At a glance
Rank #147#4
Score 13.165.5
GitHub stars 28
Popularity 14.281.2
Activity 23.395.5
Community 30.653.7
Research 76.358.4
Fundamentals
Description A research prototype in-memory property graph database supporting both one-time and continuous subgraph queries. Extends openCypher with trigger support. Succeeded by Kuzu.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 University of WaterlooAmazon Web Services
Model Property GraphMultiple
Kind databasedatabase
Category EmergingEnterprise
First released 20172017-11
Status deprecated — Research prototype from University of Waterloo. Succeeded by Kuzu.active
License MITProprietary
Written in JavaC++
Query languages openCypherGremlin, SPARQL, openCypher
gdotv support noyes

Feature scores 31 of 46 rows differ

Feature GraphflowNeptune
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 0.5·
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 0.5
Object-Graph Mapper ··
Reactive programming ·
Documentation up-to-date ·
Binary protocol ·
CLI
GUI ·
Data Model
Multi-database ··
Graph-native data
REST API ·
Query Language 0.75
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 ·