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RedisGraph VS graph-tool

Compare RedisGraph VS graph-tool and see what are their differences

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RedisGraph logo RedisGraph

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

graph-tool logo graph-tool

Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs and...
  • RedisGraph Landing page
    Landing page //
    2023-03-24
  • graph-tool Landing page
    Landing page //
    2023-01-02

RedisGraph features and specs

  • High Performance
    RedisGraph is designed for fast operations using an in-memory structure with optimized algorithms. It leverages sparse matrices and linear algebra to perform graph operations efficiently, resulting in high query performance suitable for real-time applications.
  • Cypher Query Language
    RedisGraph uses the Cypher query language, which is intuitive and widely used. This makes it easier for those familiar with graph databases to write queries without a steep learning curve.
  • Integration with Redis Ecosystem
    Being part of the Redis ecosystem allows RedisGraph to integrate seamlessly with other Redis modules and core features, benefiting from Redis's scalability, replication, and persistence capabilities.
  • Open Source and Active Community
    As an open-source project, RedisGraph benefits from community contributions and transparency. The active development and support community can be advantageous for users seeking collaboration or needing assistance.

Possible disadvantages of RedisGraph

  • Memory Usage
    RedisGraph operates in-memory, which can lead to high memory usage, especially for large datasets. This can make it impractical for very large graphs without sufficient hardware resources.
  • Limited Graph Features
    Compared to some specialized graph databases, RedisGraph may offer a more limited set of advanced graph-specific features. This could be a constraint for users needing specific functionalities like multi-tenancy or advanced analytical capabilities.
  • Persistence Limitations
    While RedisGraph benefits from Redis’s persistence mechanisms, it primarily functions as an in-memory database. Thus, ensuring durability and handling large datasets with persistence needs might require additional configuration and resources.
  • Complexity for Beginners
    Though Cypher is relatively easy to learn, those new to graph databases might find the concepts and setup of RedisGraph complex, especially if they need to install and manage Redis modules and configurations.

graph-tool features and specs

No features have been listed yet.

RedisGraph videos

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Deep Dive into RedisGraph

More videos:

  • Review - Creating a Model of Human Physiology w/RedisGraph - RedisConf 2020

graph-tool videos

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Code Review: Networkx VS graph-tool

Category Popularity

0-100% (relative to RedisGraph and graph-tool)

RedisGraph

graph-tool

Databases
66 66%
Databases
34% 34
Graph Databases
63 63%
Graph Databases
37% 37
NoSQL Databases
74 74%
NoSQL Databases
26% 26
Big Data
49 49%
Big Data
51% 51

User comments

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Social recommendations and mentions

Based on our record, graph-tool should be more popular than RedisGraph. It has been mentiond 4 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.

RedisGraph mentions (2)

graph-tool mentions (4)

  • Vent: I'm tired of the 1001 libraries of virtual environments.
    Some Python libraries have a C/C++ core that relies on libraries such as Cairo and Boost and many others. Such dependencies are not installable with pip/venv simply because they are not Python packages. If you want to try one example, have a go on installing Graph-Tool using pip. Source: over 2 years ago
  • Stop writing Rust linked list libraries!
    Do they offer the full feature set of graph-tools? https://graph-tool.skewed.de/. Source: over 2 years ago
  • Python equivalent of D3.js
    Graph-tool - it does only 2D plots and has very slow interactive graphs. Source: about 3 years ago
  • Graph module reccomendations?
    Graph-tool: This is the one I use the least, although it is probably one of the most powerful. It lets you quickly run advanced community detection analyses like stochastic block models, hierarchical partitions, etc. It also has a fantastic visualization suite for making gorgeous figures. It used to be a pain in the ass to compile, which is why I ended up sinking the time into igraph, although I understand that... Source: about 4 years ago

What are some alternatives?

When comparing RedisGraph and graph-tool, 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.

NetworkX - NetworkX is a Python language software package for the creation, manipulation, and study of the...

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

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

LemonGraph - An embedded transactional graph engine for Python.

JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.

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