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DBMS > Amazon DocumentDB vs. Coveo vs. Microsoft Azure AI Search vs. Oracle NoSQL

System Properties Comparison Amazon DocumentDB vs. Coveo vs. Microsoft Azure AI Search vs. Oracle NoSQL

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NameAmazon DocumentDB  Xexclude from comparisonCoveo  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAI-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 developmentA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument storeSearch engineSearch engineDocument store
Key-value store
Relational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score2.28
Rank#114  Overall
#11  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.coveo.comazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.coveo.comlearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperCoveoMicrosoftOracle
Initial release2019201220152011
Current releaseV123.3, December 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedhostedLinux
Solaris SPARC/x86
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyesyesoptional
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
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Python
C#
Java
JavaScript
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes infoImplicit feature of the cloud serviceElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesnoconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cache
User concepts infoAccess controlAccess rights for users and rolesgranular access controls, API key management, content filtersyes infousing Azure authenticationAccess rights for users and roles

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More resources
Amazon DocumentDBCoveoMicrosoft Azure AI SearchOracle NoSQL
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