DBMS > Atos Standard Common Repository vs. Hypertable vs. SpaceTime vs. Tibero

System Properties Comparison Atos Standard Common Repository vs. Hypertable vs. SpaceTime vs. Tibero

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Editorial information provided by DB-Engines

Name

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

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

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

An open source BigTable implementation based on distributed file systems such as Hadoop

SpaceTime is a spatio-temporal DBMS with a focus on performance.

A secure RDBMS, designed for easy portability from Oracle

Primary database model

Document store
Key-value store

Wide column store

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	0.00
Rank	#396	Overall
	#8	Spatial DBMS

Score	1.81
Rank	#143	Overall
	#65	Relational DBMS

Website

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

www.mireo.com/spacetime

us.tmaxsoft.com/products/tibero

Technical documentation

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

Developer

Atos Convergence Creators

Hypertable Inc.

Mireo

TmaxSoft

Initial release

2016

2009

2020

2003

Current release

1703

0.9.8.11, March 2016

6, April 2015

License

Commercial or Open Source

commercial

Open Source

GNU version 3. Commercial license available

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

Java

C++

C and Assembler

Server operating systems

Linux

Linux
OS X
Windows

an inofficial Windows port is available

Linux

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

Schema and schema-less with LDAP views

schema-free

yes

Typing

predefined data types such as float or date

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

Secondary indexes

yes

restricted

only exact value or prefix value scans

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

yes

APIs and other access methods

LDAP

C++ API
Thrift

RESTful HTTP API

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

Supported programming languages

All languages with LDAP bindings

C++
Java
Perl
PHP
Python
Ruby

C#
C++
Python

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

Server-side scripts

Stored procedures

Persistent Stored Procedure (PSM)

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Sharding

Fixed-grid hypercubes

horizontal partitioning

by range, hash, list or composite

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor on file system level

Real-time block device replication (DRBD)

Multi-source 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 depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of specific operations

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

planned for next version

User concepts

Access control

LDAP bind authentication

yes

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

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