Rapidminer Graph Lakehouse vs FalkorDB

Rapidminer Graph Lakehouse is a rdf database; FalkorDB is a property graph database. Rapidminer Graph Lakehouse (2018, Proprietary, C++) ranks #86 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #6. They differ on 23 of 46 surveyed features.

Attribute Rapidminer Graph Lakehouse #86 ▼3 Growing FalkorDB #6 ▼2 Strong
At a glance
Rank #86#6
Score 41.164.6
GitHub stars 5.8k
Popularity 58.163.1
Activity 80.0
Community 30.672.1
Research 49.654.3
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 property graph database that runs as a Redis module, formerly RedisGraph. Uses GraphBLAS sparse matrix operations for query execution, enabling parallel graph traversal.
Vendor SiemensFalkorDB
Model RDFProperty Graph
Kind databasedatabase
Category EnterpriseEstablished
First released 20182018-07
Status activeactive
License ProprietarySSPL-1.0
Written in C++C
Query languages SPARQL, openCypheropenCypher
gdotv support noyes

Feature scores 23 of 46 rows differ

Feature Rapidminer Graph LakehouseFalkorDB
Community & Business
Active development
Commercial support
Live community ·
Open Source ·
Pricing
Trendiness 0.5
Deployment
Containerization
Work as dedicated instance
Work as embedded ··
Testing in-memory version
Platform
Operating on Linux
Operating on Windows ·0.75
SaaS offering ··
Operations
Automatic updates ··
Client side caching ·0.5
Data versioning support ·
Live backups 0.5
Distribution
Cluster Re-balancing ··
Data Distribution ·
High-Availability 0.5
Query Distribution ·
Replication support
Developer Experience
Data types defined 0.5
Logging/Auditing 0.5
Object-Graph Mapper ·
Reactive programming ·0.5
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 ·
Secondary indexes
Server side procedures ·
Triggers ·0.5
Authentication 0.5
Authorization 0.5
Data encryption 0.5