DBMS > Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. Transbase

System Properties Comparison Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Microsofts flagship relational DBMS

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

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	20.66
Rank	#36	Overall
	#22	Relational DBMS

Score	941.20
Rank	#3	Overall
	#3	Relational DBMS

Score	5.61
Rank	#72	Overall
	#40	Relational DBMS

Score	0.07
Rank	#325	Overall
	#147	Relational DBMS

Website

azure.microsoft.com/services/synapse-analytics

www.microsoft.com/en-us/sql-server

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

www.transaction.de/en/products/transbase.html

Technical documentation

docs.microsoft.com/azure/synapse-analytics

docs.microsoft.com/en-US/sql/sql-server

help.sap.com/sql-anywhere

www.transaction.de/en/products/transbase/features.html

Developer

Microsoft

SAP

formerly Sybase

Transaction Software GmbH

Initial release

2016

1989

1992

1987

Current release

SQL Server 2019, November 2019

17, July 2015

Transbase 8.4, September 2020

License

Commercial or Open Source

commercial

restricted free version is available

commercial

free development license

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

C++

C and C++

Server operating systems

hosted

Linux
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

ADO.NET
HTTP API
JDBC
ODBC

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C#
Java
PHP

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

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

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

Transact SQL

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

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

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

tables can be distributed across several files (horizontal partitioning); sharding through federation

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

yes, but depending on the SQL-Server Edition

Source-replica replication

Database mirroring

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

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

yes

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

3rd parties

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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

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2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

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Recent citations in the news

It's Time: How Dynamics 365 users should prepare for Azure Synapse Link for Dataverse
10 May 2022, MSDynamicsWorld

Sponsored post: Consumers demand personalization. A unified data platform can help.
19 May 2022, TechCrunch

Microsoft Touts IntelliJ IDE from JetBrains for Azure Development
29 April 2022, Visual Studio Magazine

Leading Global Logistics Company Completes Milestone in Data Platform Modernization with Datometry
18 May 2022, PR Newswire

Vulnerability mitigated in the third-party Data Connector used in Azure Synapse pipelines and Azure Data Factory (CVE-2022-29972)
9 May 2022, IT Security News

provided by Google News

Google Needs Another Database To Attack Oracle, DB2, And SQL Server Directly
16 May 2022, The Next Platform

Microsoft warns over novel SQL Server attacks
18 May 2022, The Stack

How to Set Up a Microsoft SQL Server Database in Docker on Linux - MUO
8 May 2022, MakeUseOf

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19 May 2022, EIN News

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4 May 2022, Database Trends and Applications

provided by Google News

SAP SQL Anywhere
21 March 2022, TechTarget

SAP gives SQL Anywhere a new IoT injection
16 July 2015, Computerworld

Top Data Management Platforms & Systems 2022 | ESF
22 July 2021, Enterprise Storage Forum

AWS, GCP, Oracle, Azure, SAP lead cloud DBMS market: Gartner
15 February 2022, CRN Australia

provided by Google News

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