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DBMS > Quasardb vs. Realm vs. Solr vs. Trino

System Properties Comparison Quasardb vs. Realm vs. Solr vs. Trino

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonSolr  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache LuceneFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSDocument storeSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument 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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitequasar.airealm.iosolr.apache.orgtrino.io
Technical documentationdoc.quasar.ai/­masterrealm.io/­docssolr.apache.org/­resources.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperquasardbRealm, acquired by MongoDB in May 2019Apache Software FoundationTrino Software Foundation
Initial release2009201420062012 info2020 rebranded from PrestoSQL
Current release3.14.1, January 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoApache Version 2Open 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 languageC++JavaJava
Server operating systemsBSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS infofor devlopment
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyes infowith tagsyesyes infoAll search fields are automatically indexeddepending on connected data-source
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL Interfaceyes
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryJava pluginsyes, depending on connected data-source
Triggersnoyes infoChange Listenersyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingnoneShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornoneyesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes infoIn-Memory realmyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesyesSQL standard access control
More information provided by the system vendor
QuasardbRealmSolrTrino
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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QuasardbRealmSolrTrino
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