Rapidminer Graph Lakehouse vs OrientDB

Rapidminer Graph Lakehouse is a rdf database; OrientDB is a multiple database. Rapidminer Graph Lakehouse (2018, Proprietary, C++) ranks #86 this month; OrientDB (2010, Apache-2.0, Java) ranks #11. They differ on 17 of 46 surveyed features.

Attribute Rapidminer Graph Lakehouse #86 ▼3 Growing OrientDB #11 ▲6 Strong
At a glance
Rank #86#11
Score 41.162.9
GitHub stars 5k
Popularity 58.180.4
Activity 62.5
Community 30.657.4
Research 49.664.8
Fundamentals
Description An RDF graph OLAP database (formerly AnzoGraph DB) using massively parallel processing (MPP) for analytical workloads. Rebranded under Altair, it supports SPARQL 1.1 with extensions for window aggregates and advanced grouping, plus openCypher query support.A distributed multi-model database combining graph and document models with TinkerPop support. Features sharding for horizontal scaling and ACID transactions.
Vendor SiemensOrientDB Community
Model RDFMultiple
Kind databasedatabase
Category EnterpriseEnterprise
First released 20182010
Status activeactive
License ProprietaryApache-2.0
Written in C++Java
Query languages SPARQL, openCypherSQL, Gremlin
gdotv support nono

Feature scores 17 of 46 rows differ

Feature Rapidminer Graph LakehouseOrientDB
Community & Business
Active development
Commercial support
Live community ·0.5
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 ·
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
Secondary indexes
Server side procedures ·
Triggers ·
Authentication
Authorization
Data encryption