neo4j VS Dgraph

Compare neo4j VS Dgraph and see what are their differences

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neo4j

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

Dgraph

A fast, distributed graph database with ACID transactions.

Landing page //
2023-05-09

Landing page //
2023-05-02

neo4j

Website: neo4j.com
Pricing URL: Official neo4j Pricing
$ Details
Release Date: 2007 January
Startup details
Country: United States
State: California
City: San Mateo
Founder(s): Emil Eifrem
Employees: 500 - 999

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Dgraph

Website: dgraph.io
Pricing URL: Official Dgraph Pricing
$ Details
Release Date: -

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neo4j features and specs

Graph DB

Dgraph features and specs

High Performance
Dgraph is optimized for high-throughput and low-latency scenarios, making it suitable for real-time applications with large datasets.
Horizontal Scalability
Dgraph offers seamless horizontal scalability, allowing the system to expand across multiple nodes to handle increased workloads.
GraphQL Compatibility
Dgraph provides native support for GraphQL, allowing developers to use a widely accepted query language with their graph database.
Distributed Architecture
Being a distributed graph database, Dgraph ensures data replication and high availability across different geographical locations.
Strong Consistency
Dgraph offers strong consistency guarantees, ensuring that all nodes see the same data at the same time, which is crucial for many applications.

Possible disadvantages of Dgraph

Complex Setup
Setting up and managing Dgraph can be complex, especially for users not familiar with distributed systems.
Resource Intensive
Running Dgraph in a production environment can be resource-intensive, requiring significant computational resources and memory.
Learning Curve
For developers new to graph databases, there may be a steep learning curve compared to more traditional relational databases.
Limited Tooling Ecosystem
Compared to some older graph databases, Dgraph's ecosystem, in terms of third-party tools and integrations, is not as mature.
Community Support
As a relatively newer entrant in the database market, Dgraph may have less community-driven support compared to more established databases.

neo4j videos

+ Add

All about GRAND Stack: GraphQL, React, Apollo, and Neo4j

Dgraph videos

+ Add

Intro to Slash GraphQL from Dgraph

Category Popularity

0-100% (relative to neo4j and Dgraph)

Dgraph

Databases

87 87%

Databases

13% 13

Graph Databases

84 84%

Graph Databases

16% 16

NoSQL Databases

90 90%

NoSQL Databases

10% 10

Developer Tools

61 61%

Developer Tools

39% 39

User comments

Share your experience with using neo4j and Dgraph. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare neo4j and Dgraph

Neo4j is an open-source graph database, implemented in Java described as embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables. Neo4j Community Edition

Source: www.predictiveanalyticstoday.com

ArangoDB vs Neo4j - What you can't do with Neo4j

Multi-Model: Neo4j is a single-model graph database. It does not support any other data models. If your application requires a document or key/value store, you would have to use a second database technology to support it. Being multi-model, ArangoDB allows you to not only use one database for everything,but run ad hoc queries on data stored in different models.

Source: www.arangodb.com

Dgraph Reviews

We have no reviews of Dgraph yet.
Be the first one to post

Social recommendations and mentions

Based on our record, neo4j should be more popular than Dgraph. 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.

neo4j mentions (34)

6 retrieval augmented generation (RAG) techniques you should know
The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 7 days ago
LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python
Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / 9 days ago
10 Ways AI Can Speed Up your Mobile App Development
Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 2 months ago
Databases in 2024: A Year in Review
Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 4 months ago
Installing Neo4j In Ubuntu
The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 9 months ago

Dgraph mentions (21)

List of 45 databases in the world
Dgraph — Distributed, fast graph database. - Source: dev.to / 10 months ago
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 1 year ago
Getting Started with Serverless Edge - Exploring the Options
DGraph – A distributed GraphQL database with a graph backend. - Source: dev.to / over 2 years 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 2 years 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 2 years ago

What are some alternatives?

When comparing neo4j and Dgraph, you can also consider the following products

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

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

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.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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