DBMS > EventStoreDB vs. GBase vs. OrigoDB vs. Transbase

System Properties Comparison EventStoreDB vs. GBase vs. OrigoDB vs. Transbase

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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.

An analytical database for business intelligence with large customers in China.

A fully ACID in-memory object graph database

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

Primary database model

Event Store

Relational DBMS

Document store
Object oriented DBMS

Relational DBMS

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

Score	1.14
Rank	#181	Overall
	#1	Event Stores

Score	1.04
Rank	#190	Overall
	#88	Relational DBMS

Score	0.03
Rank	#378	Overall
	#51	Document stores
	#18	Object oriented DBMS

Score	0.15
Rank	#337	Overall
	#147	Relational DBMS

Website

www.eventstore.com

www.gbase.cn

origodb.com

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

Technical documentation

developers.eventstore.com

origodb.com/docs

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

Developer

Event Store Limited

Robert Friberg et al

Transaction Software GmbH

Initial release

2012

2009

under the name LiveDB

1987

Current release

21.2, February 2021

GBase 8a

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

commercial

Open Source

commercial

free development license

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C and C++

Server operating systems

Linux
Windows

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.NET Client API
HTTP API
LINQ

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

.Net

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

Server-side scripts

Stored procedures

yes

Triggers

yes

Domain Events

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

depending on model

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

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

Role based authorization

fine grained access rights according to SQL-standard

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