IBM System G vs FalkorDB

IBM System G is a other database; FalkorDB is a property graph database. IBM System G (2013, Proprietary, C++) is not ranked this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5. They differ on 26 of 46 surveyed features.

Attribute IBM System G — ▼7 Insufficient data FalkorDB #5 ▲1 Leader
At a glance
Rank — Not ranked#5
Score 22.269.8
GitHub stars —10.5k
Popularity 44.968.1
Activity —78.6
Community —69.8
Research 51.655.3
Fundamentals
Description A discontinued IBM Research graph platform supporting both property graph and RDF models. Used compressed sparse vector storage with temporal offsets and included visual query tools.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 IBMFalkorDB
Model OtherProperty Graph
Kind databasedatabase
Category EnterpriseEstablished
First released 20132018-07
Status deprecated — IBM discontinued System G. No longer available.active
License ProprietarySSPL-1.0
Written in C++C
Query languages GremlinopenCypher
gdotv support noyes

Feature scores 26 of 46 rows differ

Feature IBM System GFalkorDB
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