DBMS > Altibase vs. Atos Standard Common Repository vs. Databend vs. Derby

System Properties Comparison Altibase vs. Atos Standard Common Repository vs. Databend vs. Derby

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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

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

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

Primary database model

Relational DBMS

Document store
Key-value store

Relational DBMS

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	0.34
Rank	#283	Overall
	#130	Relational DBMS

Score	4.60
Rank	#70	Overall
	#38	Relational DBMS

Website

altibase.com

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

github.com/datafuselabs/databend
www.databend.com

db.apache.org/derby

Technical documentation

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

docs.databend.com

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

Developer

Altibase

Atos Convergence Creators

Databend Labs

Apache Software Foundation

Initial release

1999

2016

2021

1997

Current release

v7.3, 2023, August 2023

1703

1.0.59, April 2023

10.17.1.0, November 2023

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

Open Source

Apache Version 2.0

Open Source

Apache version 2

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

Rust

Java

Server operating systems

AIX
HP-UX
Linux

Linux

hosted
Linux
macOS

All OS with a Java VM

Data scheme

yes

Schema and schema-less with LDAP views

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

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

LDAP

CLI Client
JDBC
RESTful HTTP API

JDBC

Supported programming languages

C
C++
Java

All languages with LDAP bindings

Go
Java
JavaScript (Node.js)
Python
Rust

Java

Server-side scripts

Stored procedures

stored procedures and stored functions

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Source-replica replication

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

Transaction concepts

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

ACID

Atomic execution of specific operations

yes

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

Users with fine-grained authorization concept, user roles

fine grained access rights according to SQL-standard

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