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DBMS > Kdb vs. PostGIS vs. Quasardb vs. Trino

System Properties Comparison Kdb vs. PostGIS vs. Quasardb vs. Trino

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionHigh performance Time Series DBMSSpatial extension of PostgreSQLDistributed, high-performance timeseries databaseFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMS
Vector DBMS
Spatial DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational 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
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitekx.compostgis.netquasar.aitrino.io
Technical documentationcode.kx.compostgis.net/­documentationdoc.quasar.ai/­mastertrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperKx Systems, a division of First Derivatives plcquasardbTrino Software Foundation
Initial release2000 infokdb was released 2000, kdb+ in 2003200520092012 info2020 rebranded from PrestoSQL
Current release3.6, May 20183.4.2, February 20243.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPL v2.0commercial 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 languageqCC++Java
Server operating systemsLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes 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.yesyesnono
Secondary indexesyes infotable attribute 'grouped'yesyes infowith tagsdepending on connected data-source
SQL infoSupport of SQLSQL-like query language (q)yesSQL-like query languageyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.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 functionsuser defined functionsnoyes, depending on connected data-source
Triggersyes infowith viewsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infobased on PostgreSQLSharding infoconsistent hashingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQLSource-replica replication with selectable replication factordepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyes infoTransient mode
User concepts infoAccess controlrights management via user accountsyes infobased on PostgreSQLCryptographically strong user authentication and audit trailSQL standard access control
More information provided by the system vendor
KdbPostGISQuasardbTrino
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsupon request
» 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
KdbPostGISQuasardbTrino
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