DataStax Enterprise vs Raphtory

Both are property graph databases. DataStax Enterprise (2016-04, Proprietary, Java) ranks #50 this month; Raphtory (2020-12, GPL-3.0, Rust) ranks #32.

Attribute DataStax Enterprise #50 ▲3 Growing Raphtory #32 ▲2 Strong
At a glance
Rank #50#32
Score 49.955.3
GitHub stars 641
Popularity 64.056.1
Activity 75.7
Community 35.330.6
Research 49.868.7
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.An in-memory temporal graph database written in Rust with Python and Rust APIs. Tracks graph changes over time with time-traveling queries across historical states. Supports multilayer graph modeling, built-in graph algorithms, and full-text search. Includes a GraphQL server with a bundled exploration UI.
Vendor IBMPometry
Model Property GraphProperty Graph
Kind databasedatabase
Category EstablishedEmerging
First released 2016-042020-12
Status activeactive
License ProprietaryGPL-3.0
Written in JavaRust
Query languages Gremlin, CQLGraphQL
gdotv support yesno

Feature scores — not surveyed for Raphtory

Feature DataStax EnterpriseRaphtory
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
Replication support
Developer Experience
Data types defined
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
Secondary indexes
Server side procedures ·
Triggers
Authentication
Authorization
Data encryption