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DBMS > GeoMesa vs. GridDB vs. SpatiaLite vs. VelocityDB

System Properties Comparison GeoMesa vs. GridDB vs. SpatiaLite vs. VelocityDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Scalable in-memory time series database optimized for IoT and Big DataSpatial extension of SQLiteA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSpatial DBMSTime Series DBMSSpatial DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.geomesa.orggriddb.netwww.gaia-gis.it/­fossil/­libspatialite/­indexvelocitydb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.griddb.netwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlvelocitydb.com/­UserGuide
DeveloperCCRi and othersToshiba CorporationAlessandro FurieriVelocityDB Inc
Initial release2014201320082011
Current release5.0.0, May 20245.1, August 20225.0.0, August 20207.x
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++C#
Server operating systemsLinuxserver-lessAny that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.Net
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresnononono
TriggersnoyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACID
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 storageAccess rights for users can be defined per databasenoBased on Windows Authentication
More information provided by the system vendor
GeoMesaGridDBSpatiaLiteVelocityDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GeoMesaGridDBSpatiaLiteVelocityDB
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