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DBMS > GeoMesa vs. Microsoft Azure SQL Database vs. RisingWave vs. Tkrzw

System Properties Comparison GeoMesa vs. Microsoft Azure SQL Database vs. RisingWave vs. Tkrzw

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRisingWave  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Database as a Service offering with high compatibility to Microsoft SQL ServerA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA 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 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
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.risingwave.com/­databasedbmx.net/­tkrzw
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocs.risingwave.com/­docs/­current/­intro
DeveloperCCRi and othersMicrosoftRisingWave LabsMikio Hirabayashi
Initial release2014201020222020
Current release5.0.1, July 2024V121.2, September 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++RustC++
Server operating systemshostedDocker
Linux
macOS
Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONno
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQLUDFs in Python or Javano
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 infousing specific database classes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardUsers and Rolesno

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More resources
GeoMesaMicrosoft Azure SQL Database infoformerly SQL AzureRisingWaveTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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