DataStax Enterprise vs Neptune

DataStax Enterprise is a property graph database; Neptune is a multiple database. DataStax Enterprise (2016-04, Proprietary, Java) ranks #50 this month; Neptune (2017-11, Proprietary, C++) ranks #4. They differ on 22 of 46 surveyed features.

Attribute DataStax Enterprise #50 ▲3 Growing Neptune #4 ▼3 Leader
At a glance
Rank #50#4
Score 49.965.5
GitHub stars
Popularity 64.081.2
Activity 95.5
Community 35.353.7
Research 49.858.4
Fundamentals
Description A property graph database built on Apache Cassandra, forked from the Titan graph database. Uses TinkerPop for graph traversal and includes DataStax Studio for interactive querying and visualization.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 IBMAmazon Web Services
Model Property GraphMultiple
Kind databasedatabase
Category EstablishedEnterprise
First released 2016-042017-11
Status activeactive
License ProprietaryProprietary
Written in JavaC++
Query languages Gremlin, CQLGremlin, SPARQL, openCypher
gdotv support yesyes

Feature scores 22 of 46 rows differ

Feature DataStax EnterpriseNeptune
Community & Business
Active development
Commercial support
Live community 0.25
Open Source ··
Pricing ·
Trendiness 0.25
Deployment
Containerization ·
Work as dedicated instance
Work as embedded ··
Testing in-memory version ··
Platform
Operating on Linux
Operating on Windows 0.5·
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 0.5
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