DBMS > Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. Quasardb vs. SAP SQL Anywhere

System Properties Comparison Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. Quasardb vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines

Name

Description

Globally distributed, horizontally scalable, multi-model database service

A Wide Column Store for rapid development using massive semi-structured datasets

Distributed, high-performance timeseries database

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

Primary database model

Document store
Graph DBMS
Key-value store
Wide column store

Wide column store

Time Series DBMS

Relational DBMS

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

Score	31.43
Rank	#24	Overall
	#4	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	4.79
Rank	#66	Overall
	#5	Wide column stores

Score	0.10
Rank	#282	Overall
	#22	Time Series DBMS

Score	5.40
Rank	#59	Overall
	#32	Relational DBMS

Website

azure.microsoft.com/services/cosmos-db

azure.microsoft.com/en-us/services/storage/tables

www.quasardb.net

www.sap.com/products/sql-anywhere.html

Technical documentation

docs.microsoft.com/en-us/azure/cosmos-db

doc.quasardb.net

help.sap.com/sql-anywhere

Developer

Microsoft

quasardb

SAP

formerly Sybase

Initial release

2014

2012

2009

1992

Current release

3.1, January 2019

17, July 2015

License

Commercial or Open Source

commercial

commercial info

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

commercial

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C++

Server operating systems

hosted

BSD
Linux
OS X
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

JSON types

yes

integer and binary

yes

XML support info

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

All properties auto-indexed by default

yes

with tags

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

RESTful HTTP API

HTTP API

ADO.NET
HTTP API
JDBC
ODBC

Supported programming languages

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

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

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Server-side scripts info

Stored procedures

JavaScript

yes, in C/C++, Java, .Net or Perl

Triggers

JavaScript

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Implicit feature of the cloud service

Sharding

consistent hashing

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

Master-slave replication with selectable replication factor

Master-slave replication info

Database mirroring

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration info

Integration with Hadoop/HDInsight on Azure*

with Hadoop integration

Consistency concepts info

Methods to ensure consistency in a distributed system

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency info

Consistency level configurable on request level
Session Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

Multi-item ACID transactions with snapshot isolation within a partition

optimistic locking

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

by using LevelDB

yes

In-memory capabilities info

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

yes

Transient mode

yes

User concepts info

Access control

Access rights can be defined down to the item level

Access rights based on private key authentication or shared access signatures

Cryptographically strong user authentication and audit trail

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more

Competitive advantages

High performance in a cost-effective small package Real-time results for even large...
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Typical application scenarios

Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more

Key customers

Large EU investment banks US based hedge funds Orolia Tellmeplus
» more

Market metrics

Has been running in very demanding production environments since 2013 Rapid adoption...
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Licensing and pricing models

Community edition limited to 2 nodes and 16 GiB of storage per node available for...
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