DBMS > IBM Cloudant vs. Microsoft Azure SQL Database vs. RRDtool vs. SQream DB vs. VoltDB

System Properties Comparison IBM Cloudant vs. Microsoft Azure SQL Database vs. RRDtool vs. SQream DB vs. VoltDB

Editorial information provided by DB-Engines

Name

Description

Database as a Service offering based on Apache CouchDB

Database as a Service offering with high compatibility to Microsoft SQL Server

Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database.

The data is stored in a circular buffer, thus the system storage footprint remains constant over time.

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

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	77.99
Rank	#16	Overall
	#11	Relational DBMS

Score	1.87
Rank	#136	Overall
	#11	Time Series DBMS

Score	0.70
Rank	#227	Overall
	#104	Relational DBMS

Score	1.44
Rank	#158	Overall
	#73	Relational DBMS

Website

www.ibm.com/products/cloudant

azure.microsoft.com/en-us/products/azure-sql/database

oss.oetiker.ch/rrdtool

sqream.com

www.voltdb.com

Technical documentation

cloud.ibm.com/docs/Cloudant

docs.microsoft.com/en-us/azure/azure-sql

oss.oetiker.ch/rrdtool/doc

docs.sqream.com

docs.voltdb.com

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Microsoft

Tobias Oetiker

SQream Technologies

VoltDB Inc.

Initial release

2010

1999

2017

2010

Current release

V12

1.8.0, 2022

2022.1.6, December 2022

11.3, April 2022

License

Commercial or Open Source

commercial

Open Source

GPL V2 and FLOSS

commercial

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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

Erlang

C++

Implementations in Java (e.g. RRD4J) and C# available

C++, CUDA, Haskell, Java, Scala

Java, C++

Server operating systems

hosted

HP-UX
Linux

Linux

Linux
OS X

for development

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data only

yes, ANSI Standard SQL Types

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

Exporting into and restoring from XML files possible

Secondary indexes

yes

SQL

Support of SQL

yes

only a subset of SQL 99

APIs and other access methods

RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC

in-process shared library
Pipes

.Net
JDBC
ODBC

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

C#
Java
JavaScript
Objective-C
PHP
Ruby

.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby

with librrd library
C#

with a different implementation of RRDTool
Java

with a different implementation of RRDTool
JavaScript (Node.js)

with a different implementation of RRDTool
Lua
Perl
PHP

with a wrapper library
Python
Ruby

C++
Java
JavaScript (Node.js)
Python

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Transact SQL

user defined functions in Python

Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal and vertical partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes, with always 3 replicas available

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

FOREIGN KEY constraints are not supported

Transaction concepts

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

atomic operations within a document possible

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

by using the rrdcached daemon

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users can be defined per database

fine grained access rights according to SQL-standard

Users and roles with access to stored procedures

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