DBMS > Altibase vs. Atos Standard Common Repository vs. BigObject vs. SiteWhere

System Properties Comparison Altibase vs. Atos Standard Common Repository vs. BigObject vs. SiteWhere

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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.

Description

An enterprise grade, high-performance RDBMS

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

Analytic DBMS for real-time computations and queries

M2M integration platform for persisting/querying time series data

Primary database model

Relational DBMS

Document store
Key-value store

Relational DBMS

a hierachical model (tree) can be imposed

Time Series DBMS

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

Score	1.00
Rank	#194	Overall
	#91	Relational DBMS

Score	0.13
Rank	#342	Overall
	#150	Relational DBMS

Score	0.06
Rank	#367	Overall
	#36	Time Series DBMS

Website

altibase.com

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

bigobject.io

github.com/sitewhere/sitewhere

Technical documentation

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

docs.bigobject.io

sitewhere1.sitewhere.io/index.html

Developer

Altibase

Atos Convergence Creators

BigObject, Inc.

SiteWhere

Initial release

1999

2016

2015

2010

Current release

v7.3, 2023, August 2023

1703

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

free community edition available

Open Source

Common Public Attribution License Version 1.0

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

Server operating systems

AIX
HP-UX
Linux

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Linux
OS X
Windows

Data scheme

yes

Schema and schema-less with LDAP views

yes

predefined scheme

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

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC
Proprietary protocol

LDAP

fluentd
ODBC
RESTful HTTP API

HTTP REST

Supported programming languages

C
C++
Java

All languages with LDAP bindings

Server-side scripts

Stored procedures

stored procedures and stored functions

Lua

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

selectable replication factor

based on HBase

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

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

Transaction concepts

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

ACID

Atomic execution of specific operations

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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

Users with fine-grained authorization concept

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