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DBMS > GeoMesa vs. Microsoft SQL Server vs. Qdrant vs. SAP HANA

System Properties Comparison GeoMesa vs. Microsoft SQL Server vs. Qdrant vs. SAP HANA

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQdrant  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Microsofts flagship relational DBMSA high-performance vector database with neural network or semantic-based matchingIn-memory, column based data store. Available as appliance or cloud service
Primary database modelSpatial DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitewww.geomesa.orgwww.microsoft.com/­en-us/­sql-servergithub.com/­qdrant/­qdrant
qdrant.tech
www.sap.com/­products/­hana.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-serverqdrant.tech/­documentationhelp.sap.com/­hana
DeveloperCCRi and othersMicrosoftQdrantSAP
Initial release2014198920212010
Current release5.0.0, May 2024SQL Server 2022, November 20222.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
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 languageScalaC++Rust
Server operating systemsLinux
Windows
Docker
Linux
macOS
Windows
Appliance or cloud-service
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes
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 infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, R
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layertables can be distributed across several files (horizontal partitioning); sharding through federationShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes, but depending on the SQL-Server EditionCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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 layeryesyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardKey-based authenticationyes

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More resources
GeoMesaMicrosoft SQL ServerQdrantSAP HANA
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