DBMS > Altibase vs. Atos Standard Common Repository vs. Galaxybase vs. Postgres-XL vs. SpatiaLite

System Properties Comparison Altibase vs. Atos Standard Common Repository vs. Galaxybase vs. Postgres-XL vs. SpatiaLite

Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

An enterprise grade, high-performance RDBMS

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

Scalable, ACID-compliant native distributed parallel graph platform

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

Spatial extension of SQLite

Primary database model

Relational DBMS

Document store
Key-value store

Graph DBMS

Relational DBMS

Spatial DBMS

Secondary database models

Document store
Spatial DBMS

Relational DBMS

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

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

Score	0.00
Rank	#383	Overall
	#39	Graph DBMS

Score	0.49
Rank	#256	Overall
	#117	Relational DBMS

Score	1.60
Rank	#149	Overall
	#3	Spatial DBMS

Website

altibase.com

atos.net/en/convergence-creators/portfolio/standard-common-repository

galaxybase.com

www.postgres-xl.org

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

www.postgres-xl.org/documentation

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Altibase

Atos Convergence Creators

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

Alessandro Furieri

Initial release

1999

2016

2017

2014

since 2012, originally named StormDB

2008

Current release

v7.3, 2023, August 2023

1703

Nov 20, November 2021

10 R1, October 2018

5.0.0, August 2020

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

Open Source

Mozilla public license

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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

C and Java

C++

Server operating systems

AIX
HP-UX
Linux

Linux

Linux
macOS

server-less

Data scheme

yes

Schema and schema-less with LDAP views

Strong typed schema

yes

Typing

predefined data types such as float or date

yes

optional

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

XML type, but no XML query functionality

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

distributed, parallel query execution

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

LDAP

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

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

Supported programming languages

C
C++
Java

All languages with LDAP bindings

Go
Java
Python

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

Server-side scripts

Stored procedures

stored procedures and stored functions

user defined procedures and functions

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Sharding

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

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

Atomic execution of specific operations

ACID

MVCC

ACID

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

fine grained access rights according to SQL-standard

LDAP bind authentication

Role-based access control

fine grained access rights according to SQL-standard

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

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Altibase is Adopted for Presence Service to Provide User Information and Online Presence
8 April 2019, PR Newswire

Open-source DBMS becoming battleground of public cloud
17 May 2022, Etnews

In-memory OLAP Database Market Is Booming (CAGR of 24.95%) Worldwide | Terracotta, Altibase, Kognitio, Mcobject ...
26 October 2018, openPR

South Korean company to provide database solution to Mobicom
10 April 2020, UB Post

In-Memory Database Market Rapid Growth at Deep Value Price :Altibase Corporation, Amazon Web Services, Datastax ...
13 April 2024, Post Production Buyers Guide

provided by Google News

Infographic: What makes a Mobile Operator's setup future proof?
10 February 2024, Atos

provided by Google News

做国产图数据库，「创邻科技」将拓展国际市场| 新科技创业
5 April 2023, 36kr

创邻科技，位居IDC MarketScape中国图数据库市场领导者类别
13 September 2023, CSDN

provided by Google News

Share this page