DBMS > Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. Sadas Engine vs. Transbase

System Properties Comparison Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. Sadas Engine vs. Transbase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Transbase  Xexclude from comparison
Description	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	A Wide Column Store for rapid development using massive semi-structured datasets	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Relational DBMS	Wide column store	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	azure.microsoft.com/­services/­synapse-analytics	azure.microsoft.com/­en-us/­services/­storage/­tables	www.sadasengine.com	www.transaction.de/­en/­products/­transbase.html
Technical documentation	docs.microsoft.com/­azure/­synapse-analytics		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	www.transaction.de/­en/­products/­transbase/­features.html
Developer	Microsoft	Microsoft	SADAS s.r.l.	Transaction Software GmbH
Initial release	2016	2012	2006	1987
Current release			8.0	Transbase 8.3, 2022
License Commercial or Open Source	commercial	commercial	commercial free trial version available	commercial free development license
Cloud-based only Only available as a cloud service	yes	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++		C++	C and C++
Server operating systems	hosted	hosted	AIX Linux Windows	FreeBSD Linux macOS Solaris Windows
Data scheme	yes	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	yes	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.	no	no	no	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	yes	no	yes	yes
APIs and other access methods	ADO.NET JDBC ODBC	RESTful HTTP API	JDBC ODBC Proprietary protocol	ADO.NET JDBC ODBC Proprietary native API
Supported programming languages	C# Java PHP	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ Groovy Java PHP Python	C C# C++ Java JavaScript Kotlin Objective-C PHP Python
Server-side scripts Stored procedures	Transact SQL	no	no	yes
Triggers	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding, horizontal partitioning	Sharding Implicit feature of the cloud service	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	none	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	optimistic locking		yes
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no	yes managed by 'Learn by Usage'	no
User concepts Access control	yes	Access rights based on private key authentication or shared access signatures	Access rights for users, groups and roles according to SQL-standard	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 We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Microsoft Azure Table Storage	Sadas Engine	Transbase
Recent citations in the news	General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

Share this page