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DBMS > Realm vs. Sphinx vs. Trino vs. YTsaurus

System Properties Comparison Realm vs. Sphinx vs. Trino vs. YTsaurus

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonSphinx  Xexclude from comparisonTrino  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databasesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeSearch engineRelational DBMSDocument store
Key-value store
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
Score7.60
Rank#52  Overall
#9  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websiterealm.iosphinxsearch.comtrino.ioytsaurus.tech
Technical documentationrealm.io/­docssphinxsearch.com/­docstrino.io/­broadcast
trino.io/­docs/­current
ytsaurus.tech/­docs/­en
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.Trino Software FoundationYandex
Initial release201420012012 info2020 rebranded from PrestoSQL2023
Current release3.5.1, February 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0Open Source infoApache License, 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 languageC++JavaC++
Server operating systemsAndroid
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Ubuntu
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyes infofull-text index on all search fieldsdepending on connected data-source
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)yesYQL, an SQL-based language, is supported
APIs and other access methodsProprietary protocolJDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
Python
R
Ruby
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessarynoyes, depending on connected data-source
Triggersyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supporteddepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonedepending on connected data-sourceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.depending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realm
User concepts infoAccess controlyesnoSQL standard access controlAccess Control Lists
More information provided by the system vendor
RealmSphinxTrinoYTsaurus
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
RealmSphinxTrinoYTsaurus
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