DBMS > Atos Standard Common Repository vs. Derby vs. HBase vs. OushuDB

System Properties Comparison Atos Standard Common Repository vs. Derby vs. HBase vs. OushuDB

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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

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

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Wide-column store based on Apache Hadoop and on concepts of BigTable

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Primary database model

Document store
Key-value store

Relational DBMS

Wide column store

Relational DBMS

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

Score	5.30
Rank	#66	Overall
	#36	Relational DBMS

Score	31.25
Rank	#26	Overall
	#2	Wide column stores

Score	0.09
Rank	#357	Overall
	#154	Relational DBMS

Website

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

db.apache.org/derby

hbase.apache.org

www.oushu.com/product/oushuDB

Technical documentation

db.apache.org/derby/manuals/index.html

hbase.apache.org/book.html

www.oushu.com/documentation

Developer

Atos Convergence Creators

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Oushu

Initial release

2016

1997

2008

Current release

1703

10.17.1.0, November 2023

2.3.4, January 2021

4.0.1, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache version 2

Open Source

Apache version 2

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

Server operating systems

Linux

All OS with a Java VM

Linux
Unix
Windows

using Cygwin

Linux

Data scheme

Schema and schema-less with LDAP views

yes

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

optional

yes

options to bring your own types, AVRO

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

yes

Full-featured ANSI SQL support

APIs and other access methods

LDAP

JDBC

Java API
RESTful HTTP API
Thrift

JDBC
ODBC

Supported programming languages

All languages with LDAP bindings

Java

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
C++

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Coprocessors in Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Immediate Consistency or Eventual 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

Single row ACID (across millions of columns)

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

LDAP bind authentication

fine grained access rights according to SQL-standard

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Kerberos, SSL and role based access

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