DBMS > GeoMesa vs. Microsoft SQL Server vs. Tkrzw
System Properties Comparison GeoMesa vs. Microsoft SQL Server vs. Tkrzw
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|Editorial information provided by DB-Engines|
|Name||GeoMesa Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet Xexclude from comparison|
|Description||GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.||Microsofts flagship relational DBMS||A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet|
|Primary database model||Spatial DBMS||Relational DBMS||Key-value store|
|Secondary database models||Document store|
|Developer||CCRi and others||Microsoft||Mikio Hirabayashi|
|Current release||3.1.1, January 2021||SQL Server 2019, November 2019||0.9.3, August 2020|
|License Commercial or Open Source||Open Source Apache License 2.0||commercial restricted free version is available||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||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||ADO.NET|
Tabular Data Stream (TDS)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||no|
|Partitioning methods Methods for storing different data on different nodes||depending on storage layer||tables can be distributed across several files (horizontal partitioning); sharding through federation||none|
|Replication methods Methods for redundantly storing data on multiple nodes||depending on storage layer||yes, but depending on the SQL-Server Edition||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||depending on storage layer||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||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.||depending on storage layer||yes||yes using specific database classes|
|User concepts Access control||yes depending on the DBMS used for storage||fine grained access rights according to SQL-standard||no|
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|GeoMesa||Microsoft SQL Server||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet|
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