DBMS > Altibase vs. Bangdb vs. IBM Cloudant vs. MariaDB vs. SQream DB

System Properties Comparison Altibase vs. Bangdb vs. IBM Cloudant vs. MariaDB vs. SQream DB

Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Converged and high performance database for device data, events, time series, document and graph

Database as a Service offering based on Apache CouchDB

MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Relational DBMS

Document store
Graph DBMS
Time Series DBMS

Document store

Relational DBMS

Secondary database models

Spatial DBMS

Document store
Graph DBMS

with OQGraph storage engine
Spatial DBMS

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	0.16
Rank	#338	Overall
	#47	Document stores
	#32	Graph DBMS
	#31	Time Series DBMS

Score	2.75
Rank	#104	Overall
	#19	Document stores

Score	91.04
Rank	#13	Overall
	#9	Relational DBMS

Score	0.74
Rank	#224	Overall
	#103	Relational DBMS

Website

altibase.com

bangdb.com

www.ibm.com/products/cloudant

mariadb.com

Site of MariaDB Corporation
mariadb.org

Site of MariaDB Foundation

sqream.com

Technical documentation

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

docs.bangdb.com

cloud.ibm.com/docs/Cloudant

mariadb.com/kb/en/library

docs.sqream.com

Developer

Altibase

Sachin Sinha, BangDB

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server)

The lead developer Monty Widenius is the original author of MySQL

SQream Technologies

Initial release

1999

2012

2010

2009

Fork of MySQL, which was first released in 1995

2017

Current release

v7.3, 2023, August 2023

BangDB 2.0, October 2021

11.3.2, February 2024

2022.1.6, December 2022

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

BSD 3

commercial

Open Source

GPL version 2, commercial enterprise subscription available

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.

Implementation language

C++

C, C++

Erlang

C and C++

C++, CUDA, Haskell, Java, Scala

Server operating systems

AIX
HP-UX
Linux

Linux

hosted

FreeBSD
Linux
Solaris
Windows

ColumnStore storage engine not available on Windows

Linux

Data scheme

yes

schema-free

yes

Dynamic columns are supported

yes

Typing

predefined data types such as float or date

yes

yes: string, long, double, int, geospatial, stream, events

yes

yes, ANSI Standard SQL Types

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

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

ANSI SQL-92

SQL like support with command line tool

yes

with proprietary extensions

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

Proprietary protocol
RESTful HTTP API

RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC
Proprietary native API

.Net
JDBC
ODBC

Supported programming languages

C
C++
Java

C
C#
C++
Java
Python

C#
Java
JavaScript
Objective-C
PHP
Ruby

Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

stored procedures and stored functions

View functions (Map-Reduce) in JavaScript

yes

PL/SQL compatibility added with version 10.3

user defined functions in Python

Triggers

yes

yes, Notifications (with Streaming only)

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Sharding

several options for horizontal partitioning and Sharding

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor, Knob for CAP (enterprise version only)

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Tunable consistency, set CAP knob accordingly

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

atomic operations within a document possible

ACID

not for MyISAM storage engine

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, optimistic concurrency control

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

yes, implements WAL (Write ahead log) as well

yes

not for in-memory storage engine

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

yes, run db with in-memory only mode

yes

with MEMORY storage engine

User concepts

Access control

fine grained access rights according to SQL-standard

yes (enterprise version only)

Access rights for users can be defined per database

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

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Market metrics

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Licensing and pricing models

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