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DBMS > Amazon DocumentDB vs. Fauna vs. HyperSQL vs. Microsoft Azure AI Search

System Properties Comparison Amazon DocumentDB vs. Fauna vs. HyperSQL vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSearch-as-a-service for web and mobile app development
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websiteaws.amazon.com/­documentdbfauna.comhsqldb.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.fauna.comhsqldb.org/­web/­hsqlDocsFrame.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperFauna, Inc.Microsoft
Initial release2019201420012015
Current release2.7.2, June 2023V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemshostedhostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 SQLnonoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
All languages supporting JDBC/ODBC
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsJava, SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
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.noyesno
User concepts infoAccess controlAccess rights for users and rolesIdentity management, authentication, and access controlfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
Amazon DocumentDBFauna infopreviously named FaunaDBHyperSQL infoalso known as HSQLDBMicrosoft Azure AI Search
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