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DBMS > Amazon DocumentDB vs. Coveo vs. Microsoft Azure AI Search vs. RavenDB

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCoveo  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRavenDB  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 developmentOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeSearch engineSearch engineDocument store
Secondary database modelsVector DBMSGraph DBMS
Spatial DBMS
Time Series 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
Score2.92
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­documentdbwww.coveo.comazure.microsoft.com/­en-us/­services/­searchravendb.net
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.coveo.comlearn.microsoft.com/­en-us/­azure/­searchravendb.net/­docs
DeveloperCoveoMicrosoftHibernating Rhinos
Initial release2019201220152010
Current releaseV15.4, July 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL version 3, 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#
Server operating systemshostedhostedhostedLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesyes
SQL infoSupport of SQLnononoSQL-like query language (RQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIRESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Python
C#
Java
JavaScript
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyes
Triggersnoyesnoyes
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 serviceMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
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 operationsyesnoACID, Cluster-wide transaction available
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.no
User concepts infoAccess controlAccess rights for users and rolesgranular access controls, API key management, content filtersyes infousing Azure authenticationAuthorization levels configured per client per database

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More resources
Amazon DocumentDBCoveoMicrosoft Azure AI SearchRavenDB
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