DBMS > GBase vs. JaguarDB vs. PostgreSQL vs. Transbase

System Properties Comparison GBase vs. JaguarDB vs. PostgreSQL vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

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

Performant, highly scalable DBMS for AI and IoT applications

Widely used open source RDBMS

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

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

Primary database model

Relational DBMS

Key-value store

Relational DBMS

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Relational DBMS

Secondary database models

Document store

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

Score	1.02
Rank	#167	Overall
	#84	Relational DBMS

Score	0.05
Rank	#313	Overall
	#49	Key-value stores

Score	552.23
Rank	#4	Overall
	#4	Relational DBMS

Score	0.28
Rank	#260	Overall
	#120	Relational DBMS

Website

www.gbase8a.com

www.datajaguar.com

www.postgresql.org

www.transaction.de/en/solutions/transbase-resource-optimized-high-performance-database

Technical documentation

www.datajaguar.com/support.php

www.postgresql.org/docs

www.transaction.de/en/transbase-inside

Developer

DataJaguar, Inc.

PostgreSQL Global Development Group

www.postgresql.org/developer

Transaction Software GmbH

Initial release

2015

1989

1989: Postgres, 1996: PostgreSQL

1987

Current release

GBase 8a

2.9.4 September 2018

13.1, November 2020

Transbase 8.4, September 2020

License

Commercial or Open Source

commercial

Open Source

GPL V3.0

Open Source

BSD

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.

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Implementation language

C++

the server part. Clients available in other languages

C and C++

Server operating systems

Linux

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

FreeBSD
Linux
macOS
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

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

standard with numerous extensions

yes

APIs and other access methods

JDBC
ODBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

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

Server-side scripts

Stored procedures

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

other methods possible by using 3rd party extensions

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

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

In-memory capabilities

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

User concepts

Access control

rights management via user accounts

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

SQL support, group by, order by, join
» more

The resource-optimized high-performance database system Transbase® impresses with...
» more

Competitive advantages

Extremely easy to scale-out (in seconds) 100,000 times faster
» more

Big Data and the Internet of Things (IoT) are placing new demands on database management...
» more

Typical application scenarios

IoT data, time series data, AI data. Any type of numerical data.
» more

In following areas we created solutions based on Transbase®, C-chain and SecureBase:...
» more

Key customers

Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more

Together successful through Co-Operation: The successful business principles of the...
» more

Market metrics

Advertising awareness, installed base, brand image, market share
» more

Licensing and pricing models

Free-trial license, per-node license, and subscription license.
» more

You will receive the Transbase® full version as a Subscription with a term of one...
» more

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.

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CYBERTEC is your professional partner for PostgreSQL services and Data Science since 2000. With offices in Austria, Uruguay, Estonia, Poland, South Africa and Switzerland, CYBERTEC operates worldwide and is here for you 24/7!
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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pgDash: In-Depth PostgreSQL Monitoring.
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ClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
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