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DBMS > Amazon CloudSearch vs. Coveo vs. Microsoft Azure AI Search vs. WakandaDB

System Properties Comparison Amazon CloudSearch vs. Coveo vs. Microsoft Azure AI Search vs. WakandaDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCoveo  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAI-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 developmentWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineSearch engineSearch engineObject oriented DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score2.11
Rank#118  Overall
#11  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchwww.coveo.comazure.microsoft.com/­en-us/­services/­searchwakanda.github.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.coveo.comlearn.microsoft.com/­en-us/­azure/­searchwakanda.github.io/­doc
DeveloperAmazonCoveoMicrosoftWakanda SAS
Initial release2012201220152012
Current releaseV12.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaScript
Server operating systemshostedhostedhostedLinux
OS X
Windows
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP APIRESTful HTTP APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C#
Java
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresnononoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyesSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
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.nono
User concepts infoAccess controlauthentication via encrypted signaturesgranular access controls, API key management, content filtersyes infousing Azure authenticationyes

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More resources
Amazon CloudSearchCoveoMicrosoft Azure AI SearchWakandaDB
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