DBMS > SAP SQL Anywhere vs. Snowflake

System Properties Comparison SAP SQL Anywhere vs. Snowflake

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Our visitors often compare SAP SQL Anywhere and Snowflake with Microsoft SQL Server, MySQL and SAP HANA.

Editorial information provided by DB-Engines

Name

Description

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

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Relational DBMS

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

Score	5.04
Rank	#60	Overall
	#33	Relational DBMS

Score	2.27
Rank	#103	Overall
	#51	Relational DBMS

Website

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

www.snowflake.com

Technical documentation

help.sap.com/sql-anywhere

docs.snowflake.net/manuals/index.html

Developer

SAP

formerly Sybase

Snowflake Computing Inc.

Initial release

1992

2014

Current release

17, July 2015

License

Commercial or Open Source

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.

Server operating systems

AIX
HP-UX
Linux
OS X
Solaris
Windows

hosted

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

Typing

predefined data types such as float or date

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

SQL

Support of SQL

yes

APIs and other access methods

HTTP API
ADO.NET
JDBC
ODBC

CLI Client
JDBC
ODBC

Supported programming languages

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

JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

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

user defined functions

Triggers

yes

similar concept for controling cloud resources

Partitioning methods info

Methods for storing different data on different nodes

none

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-slave replication info

Database mirroring

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept, user roles and pluggable authentication

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