DBMS > HyperSQL vs. IBM Cloudant vs. Microsoft Azure AI Search vs. mSQL

System Properties Comparison HyperSQL vs. IBM Cloudant vs. Microsoft Azure AI Search vs. mSQL

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Editorial information provided by DB-Engines

Name

Description

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

Database as a Service offering based on Apache CouchDB

Search-as-a-service for web and mobile app development

mSQL (Mini SQL) is a simple and lightweight RDBMS

Primary database model

Secondary database models

Vector DBMS

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

Score	3.14
Rank	#85	Overall
	#46	Relational DBMS

Score	2.85
Rank	#95	Overall
	#18	Document stores

Score	5.75
Rank	#58	Overall
	#7	Search engines

Score	1.26
Rank	#163	Overall
	#74	Relational DBMS

Website

hsqldb.org

www.ibm.com/products/cloudant

azure.microsoft.com/en-us/services/search

hughestech.com.au/products/msql

Technical documentation

hsqldb.org/web/hsqlDocsFrame.html

cloud.ibm.com/docs/Cloudant

learn.microsoft.com/en-us/azure/search

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Microsoft

Hughes Technologies

Initial release

2001

2010

2015

1994

Current release

2.7.2, June 2023

4.4, October 2021

License

Commercial or Open Source

Open Source

based on BSD license

commercial

free licenses can be provided

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.

Implementation language

Java

Erlang

Server operating systems

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

hosted

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

SQL

Support of SQL

yes

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

APIs and other access methods

HTTP API

JDBC via HTTP
JDBC
ODBC

RESTful HTTP/JSON API

RESTful HTTP API

JDBC
ODBC

Supported programming languages

All languages supporting JDBC/ODBC
Java

C#
Java
JavaScript
Objective-C
PHP
Ruby

C#
Java
JavaScript
Python

C
C++
Delphi
Java
Perl
PHP
Tcl

Server-side scripts

Stored procedures

Java, SQL

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

yes

Implicit feature of the cloud service

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a document possible

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

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

Access rights for users can be defined per database

yes

using Azure authentication

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