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DBMS > GeoMesa vs. Spark SQL vs. VelocityDB

System Properties Comparison GeoMesa vs. Spark SQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSpatial DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.geomesa.orgspark.apache.org/­sqlvelocitydb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperCCRi and othersApache Software FoundationVelocityDB Inc
Initial release201420142011
Current release4.0.5, February 20243.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaScalaC#
Server operating systemsLinux
OS X
Windows
Any that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
.Net
Supported programming languagesJava
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnonono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagenoBased on Windows Authentication

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More resources
GeoMesaSpark SQLVelocityDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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