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DBMS > Atos Standard Common Repository vs. FeatureBase vs. Microsoft Azure AI Search vs. Trino

System Properties Comparison Atos Standard Common Repository vs. FeatureBase vs. Microsoft Azure AI Search vs. Trino

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFeatureBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTrino  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Search-as-a-service for web and mobile app developmentFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineRelational 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
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.featurebase.comazure.microsoft.com/­en-us/­services/­searchtrino.io
Technical documentationdocs.featurebase.comlearn.microsoft.com/­en-us/­azure/­searchtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAtos Convergence CreatorsMolecula and Pilosa Open Source ContributorsMicrosoftTrino Software Foundation
Initial release2016201720152012 info2020 rebranded from PrestoSQL
Current release17032022, May 2022V1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageJavaGoJava
Server operating systemsLinuxLinux
macOS
hostedLinux
macOS infofor devlopment
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnonono
Secondary indexesyesnoyesdepending on connected data-source
SQL infoSupport of SQLnoSQL queriesnoyes
APIs and other access methodsLDAPgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesAll languages with LDAP bindingsJava
Python
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, depending on connected data-source
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoImplicit feature of the cloud servicedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud servicedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationyes infousing Azure authenticationSQL standard access control
More information provided by the system vendor
Atos Standard Common RepositoryFeatureBaseMicrosoft Azure AI SearchTrino
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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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
Atos Standard Common RepositoryFeatureBaseMicrosoft Azure AI SearchTrino
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