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DBMS > Amazon DocumentDB vs. Coveo vs. HyperSQL

System Properties Comparison Amazon DocumentDB vs. Coveo vs. HyperSQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCoveo  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  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 developmentMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelDocument storeSearch engineRelational 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
Score3.49
Rank#87  Overall
#47  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.coveo.comhsqldb.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.coveo.comhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperCoveo
Initial release201920122001
Current release2.7.2, June 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Python
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresnonoJava, SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesgranular access controls, API key management, content filtersfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBCoveoHyperSQL infoalso known as HSQLDB
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