Bitsy vs Neptune

Bitsy is a property graph database; Neptune is a multiple database. Bitsy (2013-07, Apache-2.0, Java) ranks #114 this month; Neptune (2017-11, Proprietary, C++) ranks #14.

Attribute Bitsy #114 ▼7 Growing Neptune #14 ▲2 Strong
At a glance
Rank #114#14
Score 31.661.1
GitHub stars 150—
Popularity 38.161.0
Activity 43.960.9
Community 56.861.8
Research 50.060.4
Fundamentals
Description A small, embeddable, durable in-memory property graph database implementing Apache TinkerPop3 (Gremlin), with ACID transactions and optimistic concurrency control aimed at multi-threaded OLTP workloads. It persists data to human-readable JSON transaction logs and runs in-process or behind Gremlin Server.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 LambdaZenAmazon Web Services
Model Property GraphMultiple
Kind embeddeddatabase
Category EmergingEnterprise
First released 2013-072017-11
Status activeactive
License Apache-2.0Proprietary
Written in JavaC++
Query languages GremlinGremlin, SPARQL, openCypher
gdotv support noyes

Feature scores — not surveyed for Bitsy

Feature BitsyNeptune
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 —✓