DBMS > Amazon SimpleDB vs. GeoSpock vs. Microsoft SQL Server
System Properties Comparison Amazon SimpleDB vs. GeoSpock vs. Microsoft SQL Server
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|Editorial information provided by DB-Engines|
|Name||Amazon SimpleDB Xexclude from comparison||GeoSpock Xexclude from comparison||Microsoft SQL Server Xexclude from comparison|
|Description||Hosted simple database service by Amazon, with the data stored in the Amazon Cloud. There is an unrelated product called SimpleDB developed by Edward Sciore||Spatial and temporal data processing engine for extreme data scale||Microsofts flagship relational DBMS|
|Primary database model||Key-value store||Relational DBMS||Relational DBMS|
|Secondary database models||Time Series DBMS||Document store|
|Current release||2.0, September 2019||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial||commercial||commercial restricted free version is available|
|Cloud-based only Only available as a cloud service||yes||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||hosted||Linux|
|Typing predefined data types such as float or date||no||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|
|Secondary indexes||yes All columns are indexed automatically||temporal, categorical||yes|
|SQL Support of SQL||no||ANSI SQL for query only (using Presto)||yes|
|APIs and other access methods||RESTful HTTP API||JDBC||ADO.NET|
Tabular Data Stream (TDS)
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||no||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java|
|Partitioning methods Methods for storing different data on different nodes||none Sharding must be implemented in the application||Automatic sharding||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||Eventual Consistency|
Immediate Consistency can be specified for read operations
|Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no Concurrent data updates can be detected by the application||no||ACID|
|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.||no||yes|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||Access rights for users can be defined per table||fine grained access rights according to SQL-standard|
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Amazon SimpleDB||GeoSpock||Microsoft SQL Server|
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