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DBMS > GeoMesa vs. GridDB vs. Trino vs. Valentina Server

System Properties Comparison GeoMesa vs. GridDB vs. Trino vs. Valentina Server

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridDB  Xexclude from comparisonTrino  Xexclude from comparisonValentina Server  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 DataFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLObject-relational database and reports server
Primary database modelSpatial DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
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
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.geomesa.orggriddb.nettrino.iowww.valentina-db.net
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.griddb.nettrino.io/­broadcast
trino.io/­docs/­current
valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperCCRi and othersToshiba CorporationTrino Software FoundationParadigma Software
Initial release201420132012 info2020 rebranded from PrestoSQL1999
Current release5.0.0, May 20245.1, August 20225.7.5
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 infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageScalaC++Java
Server operating systemsLinuxLinux
macOS infofor devlopment
Linux
OS X
Windows
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.nonono
Secondary indexesyesyesdepending on connected data-sourceyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yesyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Trino CLI
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes, depending on connected data-sourceyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationdepending on connected data-source
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 containersdepending on connected data-source
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container leveldepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per databaseSQL standard access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoMesaGridDBTrinoValentina Server
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsGitHub trending repository
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» 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
GeoMesaGridDBTrinoValentina Server
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