DataStax Enterprise vs SAP Hana

DataStax Enterprise is a property graph database; SAP Hana is a multiple database. DataStax Enterprise (2016-04, Proprietary, Java) ranks #50 this month; SAP Hana (2010-11, Proprietary, C++) ranks #21. They differ on 17 of 46 surveyed features.

Attribute DataStax Enterprise #50 ▲3 Growing SAP Hana #21 ▼3 Strong
At a glance
Rank #50#21
Score 49.958.3
GitHub stars
Popularity 64.075.3
Activity 49.4
Community 35.348.8
Research 49.897.4
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 multi-model in-memory database with built-in graph engine supporting both property graphs and knowledge graphs. Provides built-in graph algorithms for path finding and network analysis. Part of SAP Business Technology Platform.
Vendor IBMSAP
Model Property GraphMultiple
Kind databasedatabase
Category EstablishedEnterprise
First released 2016-042010-11
Status activeactive
License ProprietaryProprietary
Written in JavaC++
Query languages Gremlin, CQLSQL, openCypher, GraphScript
gdotv support yesno

Feature scores 17 of 46 rows differ

Feature DataStax EnterpriseSAP Hana
Community & Business
Active development 0.5
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