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DBMS > Postgres-XL vs. PouchDB vs. Quasardb vs. Trino

System Properties Comparison Postgres-XL vs. PouchDB vs. Quasardb vs. Trino

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score5.10
Rank#70  Overall
#38  Relational DBMS
Websitewww.postgres-xl.orgpouchdb.comquasar.aitrino.io
Technical documentationwww.postgres-xl.org/­documentationpouchdb.com/­guidesdoc.quasar.ai/­mastertrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software FoundationquasardbTrino Software Foundation
Initial release2014 infosince 2012, originally named StormDB201220092012 info2020 rebranded from PrestoSQL
Current release10 R1, October 20187.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoMozilla public licenseOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 languageCJavaScriptC++Java
Server operating systemsLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyes
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.yes infoXML type, but no XML query functionalitynonono
Secondary indexesyesyes infovia viewsyes infowith tagsdepending on connected data-source
SQL infoSupport of SQLyes infodistributed, parallel query executionnoSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptnoyes, depending on connected data-source
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factordepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCnoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDBdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailSQL standard access control
More information provided by the system vendor
Postgres-XLPouchDBQuasardbTrino
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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More resources
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