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Dgraph

98
167
+ 1
8
Neo4j

975
1.1K
+ 1
340
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Dgraph vs Neo4j: What are the differences?

Dgraph: Fast, Distributed Graph DB. Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP; Neo4j: The world’s leading Graph Database. Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

Dgraph and Neo4j can be primarily classified as "Graph Databases" tools.

Dgraph and Neo4j are both open source tools. It seems that Dgraph with 9.95K GitHub stars and 695 forks on GitHub has more adoption than Neo4j with 6.6K GitHub stars and 1.63K GitHub forks.

Medium, Movielala, and Hinge are some of the popular companies that use Neo4j, whereas Dgraph is used by Dgraph Labs, Inflect, and DealTap. Neo4j has a broader approval, being mentioned in 114 company stacks & 47 developers stacks; compared to Dgraph, which is listed in 5 company stacks and 3 developer stacks.

Advice on Dgraph and Neo4j
Jaime Ramos
Needs advice
on
Neo4jNeo4jDgraphDgraph
and
ArangoDBArangoDB

Hi, I want to create a social network for students, and I was wondering which of these three Oriented Graph DB's would you recommend. I plan to implement machine learning algorithms such as k-means and others to give recommendations and some basic data analyses; also, everything is going to be hosted in the cloud, so I expect the DB to be hosted there. I want the queries to be as fast as possible, and I like good tools to monitor my data. I would appreciate any recommendations or thoughts.

Context:

I released the MVP 6 months ago and got almost 600 users just from my university in Colombia, But now I want to expand it all over my country. I am expecting more or less 20000 users.

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Replies (2)
Recommends
ArangoDBArangoDB

I have not used the others but I agree, ArangoDB should meet your needs. If you have worked with RDBMS and SQL before Arango will be a easy transition. AQL is simple yet powerful and deployment can be as small or large as you need. I love the fact that for my local development I can run it as docker container as part of my project and for production I can have multiple machines in a cluster. The project is also under active development and with the latest round of funding I feel comfortable that it will be around a while.

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David López Felguera
Full Stack Developer at NPAW · | 5 upvotes · 19.4K views
Recommends
ArangoDBArangoDB

Hi Jaime. I've worked with Neo4j and ArangoDB for a few years and for me, I prefer to use ArangoDB because its query sintax (AQL) is easier. I've built a network topology with both databases and now ArangoDB is the databases for that network topology. Also, ArangoDB has ArangoML that maybe can help you with your recommendation algorithims.

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Pros of Dgraph
Pros of Neo4j
  • 3
    Graphql as a query language is nice if you like apollo
  • 2
    Low learning curve
  • 1
    High Performance
  • 1
    Open Source
  • 1
    Easy set up
  • 68
    Cypher – graph query language
  • 58
    Great graphdb
  • 31
    Open source
  • 29
    Rest api
  • 27
    High-Performance Native API
  • 24
    ACID
  • 20
    Easy setup
  • 15
    Great support
  • 10
    Clustering
  • 9
    Hot Backups
  • 8
    Great Web Admin UI
  • 7
    Powerful, flexible data model
  • 7
    Mature
  • 6
    Embeddable
  • 5
    Easy to Use and Model
  • 4
    Best Graphdb
  • 4
    Highly-available
  • 2
    It's awesome, I wanted to try it
  • 2
    Great onboarding process
  • 2
    Great query language and built in data browser
  • 2
    Used by Crunchbase

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Cons of Dgraph
Cons of Neo4j
    Be the first to leave a con
    • 4
      Comparably slow
    • 4
      Can't store a vertex as JSON
    • 1
      Doesn't have a managed cloud service at low cost

    Sign up to add or upvote consMake informed product decisions

    What is Dgraph?

    Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.

    What is Neo4j?

    Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

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    What companies use Dgraph?
    What companies use Neo4j?
    See which teams inside your own company are using Dgraph or Neo4j.
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    What tools integrate with Dgraph?
    What tools integrate with Neo4j?
      No integrations found

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      Blog Posts

      What are some alternatives to Dgraph and Neo4j?
      Titan
      Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
      ArangoDB
      A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
      Cayley
      Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
      GraphQL
      GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      See all alternatives