DBMS > Dgraph vs. Neo4j vs. TypeDB

System Properties Comparison Dgraph vs. Neo4j vs. TypeDB

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

TypeDB is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.

Primary database model

Graph DBMS

Graph DBMS
Relational DBMS

Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.71
Rank	#131	Overall
	#11	Graph DBMS

Score	55.75
Rank	#18	Overall
	#1	Graph DBMS

Score	0.81
Rank	#192	Overall
	#17	Graph DBMS
	#94	Relational DBMS

Website

dgraph.io

neo4j.com

grakn.ai

Technical documentation

dgraph.io/docs

neo4j.com/docs

docs.vaticle.com

Developer

Dgraph Labs, Inc.

Neo4j, Inc.

Grakn Labs / Vaticle

Initial release

2016

2007

2016

Current release

4.3.0, June 2021

2.0, April 2021

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPL version3, commercial licenses available

Open Source

GPL Version 3, commercial licenses available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.

Implementation language

Java, Scala

Java

Server operating systems

Linux
OS X
Windows

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

Linux
OS X
Windows

Data scheme

schema-free

schema-free and schema-optional

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

yes

SQL

Support of SQL

APIs and other access methods

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

console (shell)
gRPC protocol
Workbase (visualisation software)

Supported programming languages

C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala

Server-side scripts

Stored procedures

yes

User defined Procedures and Functions

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

yes

yes using Neo4j Fabric

Sharding

by using Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

Causal Clustering using Raft protocol

available in in Enterprise Version only

Multi-source replication

by using Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

by using Apache Kafka and Apache Zookeeper

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

substituted by the relationship feature

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Planned for future releases

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

yes

at REST API level; other APIs in progress

More information provided by the system vendor

Specific characteristics

Neo4j delivers graph technology that has been battle tested for performance and scale...
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Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more

Competitive advantages

Horizontally scalable transactional graph database with fast arbitrary-depth joins...
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Neo4j is the market leader, graph database category creator, and the most widely...
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Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
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Typical application scenarios

Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more

Life sciences : Grakn makes working with biological data much easier and accelerates...
» more

Key customers

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more

Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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AGPL and Commercial . The commercial license is priced based on cluster resources...
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News

Why DTCP Decided to Invest in Neo4j
22 June 2021

This Week in Neo4j – Recommendations, Shakespeare, Graphyx, Aura Free Tier, Dungeons and Dragons, GraphSAGE, NODES 2021
19 June 2021

Announcing Early Access of Neo4j Aura Free Tier
18 June 2021

Neo4j Raises the Largest Funding Round in Database History
17 June 2021

Introducing Neo4j 4.3: The Fastest Path to Graph Productivity
17 June 2021