Apache Giraph vs FalkorDB

Both are property graph databases. Apache Giraph (2012-02, Apache-2.0, Java) ranks #55 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #6.

Attribute Apache Giraph #55 ▲3 Growing FalkorDB #6 ▼2 Strong
At a glance
Rank #55#6
Score 48.164.6
GitHub stars 6206k
Popularity 54.163.1
Activity 29.580.0
Community 56.672.1
Research 57.754.3
Fundamentals
Description An iterative graph processing system built for high scalability, inspired by Google's Pregel model. Runs on Apache Hadoop using a bulk-synchronous parallel computing model where vertices exchange messages during computation supersteps. Originally developed at Yahoo and later used at scale by Facebook.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 Apache Software FoundationFalkorDB
Model Property GraphProperty Graph
Kind query-enginedatabase
Category EstablishedEstablished
First released 2012-022018-07
Status inactive — Retired to the Apache Attic in October 2023. Repository is archived and read-only.active
License Apache-2.0SSPL-1.0
Written in JavaC
Query languages Java APIopenCypher
gdotv support noyes

Feature scores — not surveyed for Apache Giraph

Feature Apache GiraphFalkorDB
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
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