DataStax Enterprise vs TypeDB

DataStax Enterprise is a property graph database; TypeDB is a other database. DataStax Enterprise (2016-04, Proprietary, Java) ranks #69 this month; TypeDB (2016, MPL-2.0, Rust) ranks #7. They differ on 18 of 46 surveyed features.

Attribute DataStax Enterprise #69 ▲1 Growing TypeDB #7 ▲1 Leader
At a glance
Rank #69#7
Score 43.368.4
GitHub stars —4.5k
Popularity 46.775.0
Activity 43.675.2
Community 34.763.3
Research 50.450.0
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 polymorphic database that natively models inheritance hierarchies, dependencies, and conceptual schemas using its TypeQL query language. Supports clustering for scalability and a cloud-agnostic deployment model.
Vendor IBMVaticle
Model Property GraphOther
Kind databasedatabase
Category EstablishedGrowing
First released 2016-042016
Status activeactive
License ProprietaryMPL-2.0
Written in JavaRust
Query languages Gremlin, CQLTypeQL
gdotv support yesno

Feature scores 18 of 46 rows differ

Feature DataStax EnterpriseTypeDB
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 ✓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 ✓0.5
Transactions
Granular locking ··
Multiple isolation levels ·0.5
Read committed transaction ·✓
Transaction support ·✓
Schema & Security
Constraints ✓✓
Schema support ✓✓
Secondary indexes ✓✓
Server side procedures ··
Triggers ✓✓
Authentication ✓✓
Authorization ✓✓
Data encryption ✓·