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DBMS > etcd vs. Microsoft Azure AI Search vs. PouchDB vs. Trino

System Properties Comparison etcd vs. Microsoft Azure AI Search vs. PouchDB vs. Trino

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPouchDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA distributed reliable key-value storeSearch-as-a-service for web and mobile app developmentJavaScript DBMS with an API inspired by CouchDBFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeSearch engineDocument storeRelational 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
Score7.03
Rank#54  Overall
#5  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
azure.microsoft.com/­en-us/­services/­searchpouchdb.comtrino.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
learn.microsoft.com/­en-us/­azure/­searchpouchdb.com/­guidestrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperMicrosoftApache Software FoundationTrino Software Foundation
Initial release201520122012 info2020 rebranded from PrestoSQL
Current release3.4, August 2019V17.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageGoJavaScriptJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS infofor devlopment
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesnoyesyes infovia viewsdepending on connected data-source
SQL infoSupport of SQLnononoyes
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Java
JavaScript
Python
JavaScriptGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoView functions in JavaScriptyes, depending on connected data-source
Triggersyes, watching key changesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoImplicit feature of the cloud serviceMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 datanononodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backenddepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoyes infousing Azure authenticationnoSQL standard access control
More information provided by the system vendor
etcdMicrosoft Azure AI SearchPouchDBTrino
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

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6 June 2024

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22 May 2024

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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
etcdMicrosoft Azure AI SearchPouchDBTrino
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