DBMS > EventStoreDB vs. GBase vs. MarkLogic vs. openGemini vs. Transbase

System Properties Comparison EventStoreDB vs. GBase vs. MarkLogic vs. openGemini vs. Transbase

Editorial information provided by DB-Engines

Name

Description

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

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Operational and transactional Enterprise NoSQL database

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Event Store

Relational DBMS

Document store
Native XML DBMS
RDF store

as of version 7
Search engine

Time Series DBMS

Relational DBMS

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

Score	1.10
Rank	#179	Overall
	#1	Event Stores

Score	1.07
Rank	#185	Overall
	#86	Relational DBMS

Score	5.92
Rank	#58	Overall
	#10	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#6	Search engines

Score	0.01
Rank	#375	Overall
	#39	Time Series DBMS

Score	0.11
Rank	#341	Overall
	#150	Relational DBMS

Website

www.eventstore.com

www.gbase.cn

www.marklogic.com

www.opengemini.org
github.com/openGemini

www.transaction.de/en/products/transbase.html

Technical documentation

developers.eventstore.com

docs.marklogic.com

docs.opengemini.org/guide

www.transaction.de/en/products/transbase/features.html

Developer

Event Store Limited

General Data Technology Co., Ltd.

MarkLogic Corp.

Huawei and openGemini community

Transaction Software GmbH

Initial release

2012

2004

2001

2022

1987

Current release

21.2, February 2021

GBase 8a, GBase 8s, GBase 8c

11.0, December 2022

1.1, July 2023

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

commercial

restricted free version is available

Open Source

Apache Version 2.0

commercial

free development license

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

C, Java, Python

C++

C and C++

Server operating systems

Linux
Windows

Linux

Linux
OS X
Windows

Linux
Windows

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

schema-free

Schema can be enforced

schema-free

yes

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

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

Standard with numerous extensions

yes

SQL92

SQL-like query language

yes

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

Java API
Node.js Client API
ODBC
proprietary Optic API

Proprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT

HTTP REST

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

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

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

user defined functions

yes

via XQuery or JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

can act as a resource manager in an XA/JTA transaction

yes

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.

yes, with Range Indexes

yes

User concepts

Access control

yes

Role-based access control at the document and subdocument levels

Administrators and common users accounts

fine grained access rights according to SQL-standard

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