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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Coveo vs. JaguarDB

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Coveo vs. JaguarDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCoveo  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelDocument storeRelational DBMSSearch engineKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgwww.coveo.comwww.jaguardb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.coveo.comwww.jaguardb.com/­support.html
DeveloperApache Software FoundationCoveoDataJaguar, Inc.
Initial release2019201420122015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languages
Server operating systemshostedLinux
Unix
Windows
hostedLinux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitieshybrid - 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 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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCRESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyesno
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.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancygranular access controls, API key management, content filtersrights management via user accounts

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More resources
Amazon DocumentDBApache PhoenixCoveoJaguarDB
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