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DBMS > GeoMesa vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. WakandaDB

System Properties Comparison GeoMesa vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. WakandaDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMicrosofts flagship relational DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSpatial DBMSRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.geomesa.orghsqldb.orgazure.microsoft.com/­services/­synapse-analyticswww.microsoft.com/­en-us/­sql-serverwakanda.github.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analyticslearn.microsoft.com/­en-US/­sql/­sql-serverwakanda.github.io/­doc
DeveloperCCRi and othersMicrosoftMicrosoftWakanda SAS
Initial release20142001201619892012
Current release5.0.0, May 20242.7.2, June 2023SQL Server 2022, November 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infobased on BSD licensecommercialcommercial inforestricted free version is availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageScalaJavaC++C++C++, JavaScript
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyesno
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C#
Java
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript
Server-side scripts infoStored proceduresnoJava, SQLTransact SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding, horizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneyesyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardyes

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More resources
GeoMesaHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft SQL ServerWakandaDB
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