DBMS > Altibase vs. Atos Standard Common Repository vs. jBASE vs. ReductStore

System Properties Comparison Altibase vs. Atos Standard Common Repository vs. jBASE vs. ReductStore

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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

A robust multi-value DBMS comprising development tools and middleware

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Primary database model

Relational DBMS

Document store
Key-value store

Multivalue DBMS

Time Series DBMS

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Website

altibase.com

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

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

github.com/reductstore
www.reduct.store

Technical documentation

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

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

www.reduct.store/docs

Developer

Altibase

Atos Convergence Creators

Rocket Software (formerly Zumasys)

ReductStore LLC

Initial release

1999

2016

1991

2023

Current release

v7.3, 2023, August 2023

1703

5.7

1.9, March 2024

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

Open Source

Business Source License 1.1

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++, Rust

Server operating systems

AIX
HP-UX
Linux

Linux

AIX
Linux
Windows

Docker
Linux
macOS
Windows

Data scheme

yes

Schema and schema-less with LDAP views

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

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

Embedded SQL for jBASE in BASIC

APIs and other access methods

JDBC
ODBC
Proprietary protocol

LDAP

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

HTTP API

Supported programming languages

C
C++
Java

All languages with LDAP bindings

.Net
Basic
Jabbascript
Java

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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

User concepts

Access control

fine grained access rights according to SQL-standard

LDAP bind authentication

Access rights can be defined down to the item level

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