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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonElasticsearch  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 networksAnalytic DBMS for real-time computations and queriesA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSearch-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 DBMS infoa hierachical model (tree) can be imposedSearch engineSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector 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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iowww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­searchtrino.io
Technical documentationdocs.bigobject.iowww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­searchtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAtos Convergence CreatorsBigObject, Inc.ElasticMicrosoftTrino Software Foundation
Initial release20162015201020152012 info2020 rebranded from PrestoSQL
Current release17038.6, January 2023V1
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoElastic LicensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
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 languageJavaJavaJava
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMhostedLinux
macOS infofor devlopment
Data schemeSchema and schema-less with LDAP viewsyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnononono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesdepending on connected data-source
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languagenoyes
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesAll languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoLuayesnoyes, depending on connected data-source
Triggersyesnoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding infoImplicit feature of the cloud servicedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesyes infoImplicit feature of the cloud servicedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesMemcached and Redis integrationno
User concepts infoAccess controlLDAP bind authenticationnoyes infousing Azure authenticationSQL standard access control
More information provided by the system vendor
Atos Standard Common RepositoryBigObjectElasticsearchMicrosoft 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
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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 RepositoryBigObjectElasticsearchMicrosoft Azure AI SearchTrino
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