DBMS > Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. Oracle Rdb
System Properties Comparison Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. Oracle Rdb
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|Editorial information provided by DB-Engines|
|Name||Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||Oracle Rdb Xexclude from comparison|
|Description||Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server||Microsofts flagship relational DBMS|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Microsoft||Microsoft||Oracle, originally developed by Digital Equipment Corporation (DEC)|
|Current release||SQL Server 2022, November 2022||18.104.22.168, 2021|
|License Commercial or Open Source||commercial||commercial restricted free version is available||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux|
|HP Open VMS|
|Data scheme||yes||yes||Flexible Schema (defined schema, partial schema, schema free)|
|Typing predefined data types such as float or date||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||yes||no|
|SQL Support of SQL||yes||yes||yes|
|APIs and other access methods||ADO.NET|
Tabular Data Stream (TDS)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||Transact SQL||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java|
|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|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||yes, but depending on the SQL-Server Edition|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||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||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||yes, on a single node|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||yes||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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|Related products and services|
|3rd parties||DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.|
Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
Navicat for SQL Server gives you a fully graphical approach to database management and development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse||Microsoft SQL Server||Oracle Rdb|
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