DBMS > JanusGraph vs. MySQL

System Properties Comparison JanusGraph vs. MySQL

Please select another system to include it in the comparison.

Our visitors often compare JanusGraph and MySQL with Neo4j, GraphDB and TigerGraph.

Editorial information provided by DB-Engines

Name

Description

A Graph DBMS optimized for distributed clusters

It was forked from the latest code base of Titan in January 2017

Widely used open source RDBMS

Primary database model

Graph DBMS

Relational DBMS

Key/Value like access via memcached API

Secondary database models

Document store
Spatial DBMS

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

Score	1.78
Rank	#127	Overall
	#10	Graph DBMS

Score	964.98
Rank	#2	Overall
	#2	Relational DBMS

Website

janusgraph.org

www.mysql.com

Technical documentation

docs.janusgraph.org

dev.mysql.com/doc

Developer

Linux Foundation; originally developed as Titan by Aurelius

Oracle

since 2010, originally MySQL AB, then Sun

Initial release

2017

1995

Current release

1.0.0, October 2023

9.0.0, July 2024

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are 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

C and C++

Server operating systems

Linux
OS X
Unix
Windows

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

Clojure
Java
Python

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

not for MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

Durability

Support for making data persistent

yes

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

yes

In-memory capabilities

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

yes

User concepts

Access control

User authentification and security via Rexster Graph Server

Users with fine-grained authorization concept

no user groups or roles

More information provided by the system vendor

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

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

show all

Recent citations in the news

Database Deep Dives: JanusGraph
8 August 2019, IBM

Update Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
28 March 2022, InApps Technology

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNET

Performance Tuning Your Titan Graph Database on AWS
14 December 2015, Amazon Web Services (AWS)

Advantages of graph databases: Easier data modeling, analytics
23 January 2019, TechTarget

provided by Google News

Scaling Amazon RDS for MySQL performance for Careem’s digital platform on AWS
13 May 2025, Amazon Web Services (AWS)

MySQL at 30: Still important but no longer king
12 May 2025, InfoWorld

30 years of MySQL, the database that changed the world
6 May 2025, theregister.com

MySQL Explained: Your Guide to Mastering This Powerful Database
29 August 2024, Oracle

Continuent Releases Tungsten Dashboard v8, an Upgrade to Its Web-Based Interface for Managing and Monitoring MySQL Clusters
13 May 2025, PR Newswire

provided by Google News

Share this page