Software Alternatives & Reviews

RedisGraph VS Dgraph

Compare RedisGraph VS Dgraph and see what are their differences

RedisGraph logo RedisGraph

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

Dgraph logo Dgraph

A fast, distributed graph database with ACID transactions.
  • RedisGraph Landing page
    Landing page //
    2023-03-24
  • Dgraph Landing page
    Landing page //
    2023-05-02

RedisGraph

Categories
  • Graph Databases
  • NoSQL Databases
  • Databases
  • Big Data
Website oss.redis.com
Pricing URL-
Details $-

Dgraph

Categories
  • Graph Databases
  • Databases
  • NoSQL Databases
  • GraphQL
Website dgraph.io
Pricing URL Official Dgraph Pricing
Details $

RedisGraph videos

Deep Dive into RedisGraph

More videos:

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

Dgraph videos

Intro to Slash GraphQL from Dgraph

More videos:

  • Review - Getting started with Dgraph #5: Tweet graph, string indices, and keyword-based searching
  • Review - Graph Database: Intro to Dgraph's Query Language (2017)

Category Popularity

0-100% (relative to RedisGraph and Dgraph)
Databases
53 53%
47% 47
Graph Databases
52 52%
48% 48
NoSQL Databases
67 67%
33% 33
Big Data
100 100%
0% 0

User comments

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

Based on our record, Dgraph should be more popular than RedisGraph. It has been mentiond 20 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)

Dgraph mentions (20)

  • How to choose the right type of database
    Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support. - Source: dev.to / about 2 months ago
  • Getting Started with Serverless Edge - Exploring the Options
    DGraph – A distributed GraphQL database with a graph backend. - Source: dev.to / about 1 year ago
  • Fluree DB - A datomic like database that I just discovered
    How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic? Source: over 1 year ago
  • GKE with Consul Service Mesh
    Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes... - Source: dev.to / over 1 year ago
  • Show HN: We have built a benchmark platform for graph databases
    Looking forward comparison with Dgraph ( https://dgraph.io/ ) — I mentioned Dgraph in other, older, posts. I'm not a shill, just a Dgraph user who's looking for alternative. - Source: Hacker News / over 1 year ago
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What are some alternatives?

When comparing RedisGraph and Dgraph, 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.

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

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.