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DBMS > CouchDB vs. Elasticsearch vs. Microsoft Azure AI Search vs. Sphinx vs. Warp 10

System Properties Comparison CouchDB vs. Elasticsearch vs. Microsoft Azure AI Search vs. Sphinx vs. Warp 10

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA 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 metricSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeSearch engineSearch engineSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score132.83
Rank#7  Overall
#1  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitecouchdb.apache.orgwww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comwww.warp10.io
Technical documentationdocs.couchdb.org/­en/­stablewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerElasticMicrosoftSphinx Technologies Inc.SenX
Initial release20052010201520012015
Current release3.3.3, December 20238.6, January 2023V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoElastic LicensecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJavaC++Java
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes
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 indexesyes infovia viewsyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
RESTful HTTP APIProprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesC
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
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresView functions in JavaScriptyesnonoyes infoWarpScript
Triggersyesyes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoImplicit feature of the cloud servicenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenononono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyes infousing Azure authenticationnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"ElasticsearchMicrosoft Azure AI SearchSphinxWarp 10
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