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DBMS > GeoMesa vs. Microsoft SQL Server vs. OushuDB vs. TerarkDB

System Properties Comparison GeoMesa vs. Microsoft SQL Server vs. OushuDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOushuDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Microsofts flagship relational DBMSA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSpatial DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score0.09
Rank#357  Overall
#154  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitewww.geomesa.orgwww.microsoft.com/­en-us/­sql-serverwww.oushu.com/­product/­oushuDBgithub.com/­bytedance/­terarkdb
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-serverwww.oushu.com/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCCRi and othersMicrosoftOushuByteDance, originally Terark
Initial release201419892016
Current release4.0.5, February 2024SQL Server 2022, November 20224.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial inforestricted free version is availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++
Server operating systemsLinux
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesFull-featured ANSI SQL supportno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
C++ API
Java API
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
C++
Java
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layertables can be distributed across several files (horizontal partitioning); sharding through federationyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardKerberos, SSL and role based accessno

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More resources
GeoMesaMicrosoft SQL ServerOushuDBTerarkDB
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