DBMS > Galaxybase vs. Postgres-XL vs. Tibero vs. UniData,UniVerse

System Properties Comparison Galaxybase vs. Postgres-XL vs. Tibero vs. UniData,UniVerse

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Scalable, ACID-compliant native distributed parallel graph platform

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

A secure RDBMS, designed for easy portability from Oracle

MultiValue database and application server with SQL mapping layer and meta database capabilities

Primary database model

Graph DBMS

Relational DBMS

Multivalue DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	0.07
Rank	#377	Overall
	#40	Graph DBMS

Score	0.53
Rank	#254	Overall
	#117	Relational DBMS

Score	1.59
Rank	#148	Overall
	#68	Relational DBMS

Score	2.85
Rank	#98	Overall
	#1	Multivalue DBMS

Website

galaxybase.com

www.postgres-xl.org

us.tmaxsoft.com/products/tibero

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-unidata

Technical documentation

www.postgres-xl.org/documentation

technet.tmaxsoft.com/upload/download/online/tibero/pver-20150504-000002/index.html

docs.rocketsoftware.com/bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata

Developer

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

TmaxSoft

Rocket Software

Initial release

2017

2014

since 2012, originally named StormDB

2003

1985

Current release

Nov 20, November 2021

10 R1, October 2018

6, April 2015

License

Commercial or Open Source

commercial

Open Source

Mozilla public license

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

C and Java

C and Assembler

Server operating systems

Linux

Linux
macOS

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

Strong typed schema

yes

schema-free

Typing

predefined data types such as float or date

yes

optional

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

XML type, but no XML query functionality

yes

Secondary indexes

yes

SQL

Support of SQL

yes

distributed, parallel query execution

yes

APIs and other access methods

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

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

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI

Java API

JPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API

Supported programming languages

Go
Java
Python

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic

.Net
Basic

U2 Basic
C
Java

Server-side scripts

Stored procedures

user defined procedures and functions

user defined functions

Persistent Stored Procedure (PSM)

yes

Triggers

yes

U2 Basic

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

by range, hash, list or composite

none

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

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

MVCC

ACID

configurable

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

planned for next version

User concepts

Access control

Role-based access control

fine grained access rights according to SQL-standard

fine grained access rights according to SQL-standard (SQL 92, SQL 99)

Access rights according to SQL-standard and operating system based

More information provided by the system vendor

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

ArkData to Officially Support Domestic Database 'Tibero 7'
23 April 2024, BusinessKorea

How to Succeed at Large-Scale Mainframe Replatforming with TmaxSoft OpenFrame on AWS | Amazon Web Services
2 August 2022, AWS Blog

TmaxData to supply database management software to Hyundai, Kia
12 June 2019, 코리아타임스

Hyundai and Kia Say Good-bye to Oracle and Choose Tmax as DBMS Vendor
13 June 2019, BusinessKorea

TmaxSoft aims at becoming global leader in database business
26 March 2015, 코리아타임스

provided by Google News

Unidata Reports Full Year 2023 Earnings
31 March 2024, Simply Wall St

Unidata uses Jetstream to make geoscience data available to science community
29 January 2020, IU Newsroom

UniData implements a milestone Smart Class Room project at The Asian School | THE DAILY TRIBUNE | KINGDOM ...
8 April 2024, News of Bahrain- DT News

Bahrain Business: UniData implements major 'smart classroom' project
8 April 2024, Gulf Digital News

Data + software services
21 August 2018, UCAR

provided by Google News

Share this page