DBMS > EventStoreDB vs. GBase vs. HBase vs. Transbase

System Properties Comparison EventStoreDB vs. GBase vs. HBase 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.

Wide-column store based on Apache Hadoop and on concepts of BigTable

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

Primary database model

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	31.25
Rank	#26	Overall
	#2	Wide column stores

Score	0.15
Rank	#337	Overall
	#147	Relational DBMS

Website

www.eventstore.com

www.gbase.cn

hbase.apache.org

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

Technical documentation

developers.eventstore.com

hbase.apache.org/book.html

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

Developer

Event Store Limited

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Transaction Software GmbH

Initial release

2012

2008

1987

Current release

21.2, February 2021

GBase 8a

2.3.4, January 2021

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

commercial

Open Source

Apache version 2

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

Java

C and C++

Server operating systems

Linux
Windows

Linux
Unix
Windows

using Cygwin

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

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

yes

APIs and other access methods

Java API
RESTful HTTP API
Thrift

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

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

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Single row ACID (across millions of columns)

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

User concepts

Access control

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

fine grained access rights according to SQL-standard

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