DBMS > Amazon DocumentDB vs. Microsoft SQL Server vs. Yanza
System Properties Comparison Amazon DocumentDB vs. Microsoft SQL Server vs. Yanza
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|Editorial information provided by DB-Engines|
|Name||Amazon DocumentDB Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||Yanza Xexclude from comparison|
|Description||Fast, scalable, highly available, and fully managed MongoDB-compatible database service||Microsofts relational DBMS||Time Series DBMS for IoT Applications|
|Primary database model||Document store||Relational DBMS||Time Series DBMS|
|Secondary database models||Document store|
|Current release||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial||commercial restricted free version is available||commercial free version available|
|Cloud-based only Only available as a cloud service||yes||no||no but mainly used as a service provided by Yanza|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux|
|Typing predefined data types such as float or date||yes||yes||no|
|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||no||yes||no|
|APIs and other access methods||proprietary protocol using JSON (MongoDB compatible)||ADO.NET|
Tabular Data Stream (TDS)
|Supported programming languages||Go|
|any language that supports HTTP calls|
|Server-side scripts Stored procedures||no||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||no|
|Triggers||no||yes||yes Timer and event based|
|Partitioning methods Methods for storing different data on different nodes||none||tables can be distributed across several files (horizontal partitioning); sharding through federation||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas||yes, but depending on the SQL-Server Edition||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-document operations||ACID||no|
|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|
|User concepts Access control||Access rights for users and roles||fine grained access rights according to SQL-standard||no|
More information provided by the system vendor
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|Amazon DocumentDB||Microsoft SQL Server||Yanza|
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