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

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

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Search-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 modelRelational DBMSDocument storeSearch engineSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
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
Websitepinot.apache.orgcouchdb.apache.orgazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comwww.warp10.io
Technical documentationdocs.pinot.apache.orgdocs.couchdb.org/­en/­stablelearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoftSphinx Technologies Inc.SenX
Initial release20152005201520012015
Current release1.0.0, September 20233.3.3, December 2023V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen 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

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Implementation languageJavaErlangC++Java
Server operating systemsAll OS with a Java JDK11 or higherAndroid
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 indexesyes infovia viewsyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (SphinxQL)no
APIs and other access methodsJDBCRESTful HTTP/JSON APIRESTful HTTP APIProprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
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 JavaScriptnonoyes infoWarpScript
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoimproved architecture with release 2.0Sharding 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
yes infoImplicit feature of the cloud servicenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenonono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nonoyes
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
Apache PinotCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Microsoft Azure AI SearchSphinxWarp 10
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