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DBMS > Coveo vs. Microsoft Azure AI Search vs. Quasardb vs. Trino

System Properties Comparison Coveo vs. Microsoft Azure AI Search vs. Quasardb vs. Trino

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries databaseFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelSearch engineSearch engineTime Series DBMSRelational DBMS
Secondary database modelsVector 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
Score2.11
Rank#118  Overall
#11  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.coveo.comazure.microsoft.com/­en-us/­services/­searchquasar.aitrino.io
Technical documentationdocs.coveo.comlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­mastertrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperCoveoMicrosoftquasardbTrino Software Foundation
Initial release2012201520092012 info2020 rebranded from PrestoSQL
Current releaseV13.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial 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 serviceyesyesnono
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++Java
Server operating systemshostedhostedBSD
Linux
OS X
Windows
Linux
macOS infofor devlopment
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-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.nononono
Secondary indexesyesyesyes infowith tagsdepending on connected data-source
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIHTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
Java
JavaScript
Python
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes, depending on connected data-source
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factordepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDdepending 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.noyes infoTransient mode
User concepts infoAccess controlgranular access controls, API key management, content filtersyes infousing Azure authenticationCryptographically strong user authentication and audit trailSQL standard access control
More information provided by the system vendor
CoveoMicrosoft Azure AI SearchQuasardbTrino
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
News

One busy week to go before Trino Fest 2024
6 June 2024

60: Trino calling AI
22 May 2024

Big names round out the Trino Fest 2024 lineup
8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

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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
CoveoMicrosoft Azure AI SearchQuasardbTrino
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