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DBMS > BigObject vs. GeoMesa vs. Realm vs. Trino

System Properties Comparison BigObject vs. GeoMesa vs. Realm vs. Trino

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGeoMesa  Xexclude from comparisonRealm  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSpatial DBMSDocument storeRelational DBMS
Secondary database modelsDocument 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
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Score5.10
Rank#70  Overall
#38  Relational DBMS
Websitebigobject.iowww.geomesa.orgrealm.iotrino.io
Technical documentationdocs.bigobject.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlrealm.io/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperBigObject, Inc.CCRi and othersRealm, acquired by MongoDB in May 2019Trino Software Foundation
Initial release2015201420142012 info2020 rebranded from PrestoSQL
Current release4.0.5, February 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache License 2.0Open SourceOpen Source infoApache Version 2.0
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 languageScalaJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
Backend: server-less
iOS
Windows
Linux
macOS infofor devlopment
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesdepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresLuanono inforuns within the applications so server-side scripts are unnecessaryyes, depending on connected data-source
Triggersnonoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layernonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layernonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryes infoIn-Memory realm
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageyesSQL standard access control
More information provided by the system vendor
BigObjectGeoMesaRealmTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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BigObjectGeoMesaRealmTrino
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