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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. CouchDB vs. Elasticsearch

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. CouchDB vs. Elasticsearch

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonElasticsearch  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
Primary database modelDocument storeRelational DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score135.35
Rank#7  Overall
#1  Search engines
Websiteaws.amazon.com/­documentdbphoenix.apache.orgcouchdb.apache.orgwww.elastic.co/­elasticsearch
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.couchdb.org/­en/­stablewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerElastic
Initial release2019201420052010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20238.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoElastic License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJava
Server operating systemshostedLinux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesyes infovia viewsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptyes
Triggersnonoyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoimproved architecture with release 2.0Sharding
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
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationyesES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno infoatomic operations within a single document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes
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.yesnoMemcached and Redis integration
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per database

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Amazon DocumentDBApache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Elasticsearch
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