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DBMS > GeoMesa vs. Google Cloud Spanner vs. Microsoft SQL Server vs. SAP SQL Anywhere

System Properties Comparison GeoMesa vs. Google Cloud Spanner vs. Microsoft SQL Server vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft SQL Server  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.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Microsofts flagship relational DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelSpatial DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#192  Overall
#3  Spatial DBMS
Score3.46
Rank#92  Overall
#48  Relational DBMS
Score944.81
Rank#3  Overall
#3  Relational DBMS
Score5.66
Rank#69  Overall
#38  Relational DBMS
Websitewww.geomesa.orgcloud.google.com/­spannerwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­sql-anywhere.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­sql-anywhere
DeveloperCCRi and othersGoogleMicrosoftSAP infoformerly Sybase
Initial release2014201719891992
Current release3.1.1, January 2021SQL Server 2019, November 201917, July 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yesyes
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in C/C++, Java, .Net or Perl
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication with 3 replicas for regional instances.yes, but depending on the SQL-Server EditionSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDACID
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 layernoyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
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