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DBMS > Amazon DocumentDB vs. IBM Cloudant vs. Kinetica vs. Microsoft Azure Cosmos DB vs. Trino

System Properties Comparison Amazon DocumentDB vs. IBM Cloudant vs. Kinetica vs. Microsoft Azure Cosmos DB vs. Trino

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsGlobally distributed, horizontally scalable, multi-model database serviceFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument storeDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial 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
Score1.91
Rank#132  Overall
#24  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­cloudantwww.kinetica.comazure.microsoft.com/­services/­cosmos-dbtrino.io
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.ibm.com/­docs/­Cloudantdocs.kinetica.comlearn.microsoft.com/­azure/­cosmos-dbtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaMicrosoftTrino Software Foundation
Initial release20192010201220142012 info2020 rebranded from PrestoSQL
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
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 languageErlangC, C++Java
Server operating systemshostedhostedLinuxhostedLinux
macOS infofor devlopment
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes infoJSON typesyes
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 indexesyesyesyesyes infoAll properties auto-indexed by defaultdepending on connected data-source
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptuser defined functionsJavaScriptyes, depending on connected data-source
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud servicedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Source-replica replicationyes infoImplicit feature of the cloud servicedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
depending on connected data-source
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoatomic operations within a document possiblenoMulti-item ACID transactions with snapshot isolation within a partitiondepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
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.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseAccess rights for users and roles on table levelAccess rights can be defined down to the item levelSQL standard access control
More information provided by the system vendor
Amazon DocumentDBIBM CloudantKineticaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTrino
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
Amazon DocumentDBIBM CloudantKineticaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTrino
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