DBMS > EventStoreDB vs. JanusGraph vs. Transwarp StellarDB

System Properties Comparison EventStoreDB vs. JanusGraph vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

Industrial-strength, open-source database solution built from the ground up for event sourcing.

A Graph DBMS optimized for distributed clusters

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

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Event Store

Graph DBMS

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

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	2.02
Rank	#125	Overall
	#12	Graph DBMS

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

www.eventstore.com

janusgraph.org

www.transwarp.cn/en/product/stellardb

Technical documentation

developers.eventstore.com

docs.janusgraph.org

Developer

Event Store Limited

Linux Foundation; originally developed as Titan by Aurelius

Transwarp

Initial release

2012

2017

Current release

21.2, February 2021

0.6.3, February 2023

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

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

Server operating systems

Linux
Windows

Linux
OS X
Unix
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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

OpenCypher

Supported programming languages

Clojure
Java
Python

Server-side scripts

Stored procedures

yes

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

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Foreign keys

Referential integrity

yes

Relationships in graphs

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

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

yes

User concepts

Access control

User authentification and security via Rexster Graph Server

yes

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