Software Alternatives & Reviews

Graph Engine VS NetworkX

Compare Graph Engine VS NetworkX and see what are their differences

Graph Engine logo Graph Engine

Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed com

NetworkX logo NetworkX

NetworkX is a Python language software package for the creation, manipulation, and study of the...
  • Graph Engine Landing page
    Landing page //
    2023-07-31
  • NetworkX Landing page
    Landing page //
    2023-09-14

Graph Engine videos

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NetworkX videos

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

Category Popularity

0-100% (relative to Graph Engine and NetworkX)
Graph Databases
37 37%
63% 63
NoSQL Databases
40 40%
60% 60
Databases
38 38%
62% 62
Big Data
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Graph Engine and NetworkX

Graph Engine Reviews

Top 15 Free Graph Databases
Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set....
Open source Microsoft Graph Engine takes on Neo4j
Microsoft's been exploring this area since at least 2013, when it published a paper describing the Trinity project, a cloud-based, in-memory graph engine. The fruits of the effort, known as the Microsoft Graph Engine, are now available as an MIT-licensed open source project as an alternative to the likes of Neo4j or the Linux Foundation's recently announced JanusGraph.

NetworkX Reviews

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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.

Graph Engine mentions (0)

We have not tracked any mentions of Graph Engine yet. Tracking of Graph Engine recommendations started around Mar 2021.

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 / 4 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: 5 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 / 7 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: 12 months 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: 12 months ago
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What are some alternatives?

When comparing Graph Engine 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.

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

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

Cayley - Open-source graph database.

Titan - Built like a hedge fund.

Graphviz - Graphviz is open source graph visualization software. It has several main graph layout programs.