Software Alternatives, Accelerators & Startups

FalkorDB VS NetworkX

Compare FalkorDB VS NetworkX and see what are their differences

FalkorDB logo FalkorDB

Explore FalkorDB, the premier knowledge graph database tailor-made for GenAI applications. Unlock the power of structured data for advanced AI insights.

NetworkX logo NetworkX

NetworkX is a Python language software package for the creation, manipulation, and study of the...
  • FalkorDB
    Image date //
    2024-04-20

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (KG-RAG).

  • NetworkX Landing page
    Landing page //
    2023-09-14

FalkorDB

$ Details
Release Date
2023 December

FalkorDB videos

Auto generating of Knowledge Graph with MindGraph, FalkorDB & OpenAI

More videos:

  • Tutorial - Getting started with FalkorDB SaaS

NetworkX videos

Directed Network Analysis - Simulating a Social Network Using Networkx in Python - Tutorial 28

Category Popularity

0-100% (relative to FalkorDB and NetworkX)
Graph Databases
31 31%
69% 69
Databases
34 34%
66% 66
Email Marketing Platforms
NoSQL Databases
0 0%
100% 100

Questions and Answers

As answered by people managing FalkorDB and NetworkX.

Which are the primary technologies used for building your product?

FalkorDB's answer

C, Rust, Next.js

What makes your product unique?

FalkorDB's answer

An ultra-low latency Graph Database

Why should a person choose your product over its competitors?

FalkorDB's answer

x100 faster than the leading solutions

How would you describe your primary audience?

FalkorDB's answer

Developers, Architects, Data scientists, CTOs

What's the story behind your product?

FalkorDB's answer

An ultra-low latency Graph Database that perfects the Knowledge Graph for KG-RAG. Effectively overcoming the existing limitations of RAG for Large Language Models (LLM).

FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph.

User comments

Share your experience with using FalkorDB and NetworkX. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, NetworkX seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

FalkorDB mentions (0)

We have not tracked any mentions of FalkorDB yet. Tracking of FalkorDB recommendations started around Apr 2024.

NetworkX mentions (34)

  • Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation
    In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery. - Source: dev.to / 5 months ago
  • Custom libraries and utility tools for challenges
    If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time. Source: 6 months ago
  • Google open-sources their graph mining library
    For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2]. Integrations include: * NetworkX -- https://networkx.org/ * DeepGraphLibrary -- https://www.dgl.ai/ * cuGraph (Rapids.ai Graph) --... - Source: Hacker News / 8 months ago
  • org-roam-pygraph: Build a graph of your org-roam collection for use in Python
    Org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx. Source: about 1 year ago
  • Microsoft won't accept my first name.
    Back in college, I had an assignment deadline coming up and I wanted to work on it in the train since I had an 8-hour journey ahead of me. It was about some analysis of graph data, which used a Python package called NetworkX. The train's WiFi didn't allow me to access their documentation because it apparently thought it was porn. Source: about 1 year ago
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What are some alternatives?

When comparing FalkorDB and NetworkX, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

TigerGraph DB - Application and Data, Data Stores, and Graph Database as a Service

RedisGraph - A high-performance graph database implemented as a Redis module.

Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Frontegg - Elegant user management, tailor-made for B2B SaaS