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DBMS > GeoMesa vs. Microsoft Azure Synapse Analytics vs. NSDb vs. VelocityDB

System Properties Comparison GeoMesa vs. Microsoft Azure Synapse Analytics vs. NSDb vs. VelocityDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSpatial DBMSRelational DBMSTime Series DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitewww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticsnsdb.iovelocitydb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturevelocitydb.com/­UserGuide
DeveloperCCRi and othersMicrosoftVelocityDB Inc
Initial release2014201620172011
Current release4.0.5, February 20247.x
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++Java, ScalaC#
Server operating systemshostedLinux
macOS
Any that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.nononono
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyesSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
.Net
Supported programming languagesC#
Java
PHP
Java
Scala
.Net
Server-side scripts infoStored proceduresnoTransact SQLnono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesBased on Windows Authentication

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More resources
GeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbVelocityDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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