DBMS > Neo4j vs. TypeDB

System Properties Comparison Neo4j vs. TypeDB

Please select another system to include it in the comparison.

Our visitors often compare Neo4j and TypeDB with SurrealDB, GraphDB and PostgreSQL.

Editorial information provided by DB-Engines

Name

Description

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

TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.

Primary database model

Graph DBMS

The type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS

The data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS

The type-theoretic data model of TypeDB subsumes the relational database model.

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

Score	47.91
Rank	#20	Overall
	#1	Graph DBMS

Score	0.59
Rank	#233	Overall
	#20	Graph DBMS
	#10	Object oriented DBMS
	#107	Relational DBMS

Website

neo4j.com

typedb.com

Technical documentation

neo4j.com/docs

typedb.com/docs

Developer

Neo4j, Inc.

Vaticle

Initial release

2007

2016

Current release

5.23, August 2024

2.28.3, June 2024

License

Commercial or Open Source

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.

Implementation language

Java, Scala

Java

Server operating systems

Linux

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

Linux
OS X
Windows

Data scheme

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

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)

Supported programming languages

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

All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust

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 using Neo4j Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

Causal Clustering using Raft protocol

available in in Enterprise Version only

Synchronous replication via raft

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

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

News

Simplify Modern Application Development With GraphQL on Neo4j AuraDB
30 April 2025

Text2Cypher: The Impact of Difficult Example Selection
29 April 2025

This Week in Neo4j: MCP, Snowflake, GenAI, GraphRAG and more
26 April 2025

Is a Knowledge Graph a Graph Database?
25 April 2025

Transform Static Risk Assessment Into a Dynamic Data-Driven Strategy
22 April 2025

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

How Neo4j Uses Graph Technology With LLMs to Replace SaaS Applications
29 April 2025, Analytics India Magazine

Data Science Firm Neo4j Reportedly Prepping IPO
19 November 2024, PYMNTS.com

Neo4j Surpasses $200M in Revenue, Accelerates Leadership in GenAI-Driven Graph Technology
19 November 2024, PR Newswire

Discover Graph Databases with Neo4j and PHP
7 November 2024, SitePoint

Database startup Neo4j embraces AI to supercharge growth
19 November 2024, TechCrunch

provided by Google News

We’ve Released a COVID-19 Knowledge Graph
14 July 2020, Towards Data Science

Top 45+ startups in Knowledge Graph Platforms in Jan, 2025
16 January 2025, Tracxn

provided by Google News

Share this page