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DBMS > GeoMesa vs. Microsoft Azure Data Explorer vs. mSQL vs. MySQL vs. SAP SQL Anywhere

System Properties Comparison GeoMesa vs. Microsoft Azure Data Explorer vs. mSQL vs. MySQL vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonMySQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Fully managed big data interactive analytics platformmSQL (Mini SQL) is a simple and lightweight RDBMSWidely used open source RDBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelSpatial DBMSRelational DBMS infocolumn orientedRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.geomesa.orgazure.microsoft.com/­services/­data-explorerhughestech.com.au/­products/­msqlwww.mysql.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­dochelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCCRi and othersMicrosoftHughes TechnologiesOracle infosince 2010, originally MySQL AB, then SunSAP infoformerly Sybase
Initial release20142019199419951992
Current release4.0.5, February 2024cloud service with continuous releases4.4, October 20218.4.0, April 202417, July 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infofree licenses can be providedOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageScalaCC and C++
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesFixed schema with schema-less datatypes (dynamic)yesyesyes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyesyes
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.noyesnoyesyes
Secondary indexesyesall fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infowith proprietary extensionsyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Delphi
Java
Perl
PHP
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Rnoyes infoproprietary syntaxyes, in C/C++, Java, .Net or Perl
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud servicenonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneMulti-source replication
Source-replica replication
Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infotable locks or row locks depending on storage engineyes
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 layernonoyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAzure Active Directory AuthenticationnoUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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