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DBMS > Apache Pinot vs. LokiJS vs. PouchDB vs. searchxml

System Properties Comparison Apache Pinot vs. LokiJS vs. PouchDB vs. searchxml

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIn-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSDocument storeDocument storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.44
Rank#256  Overall
#40  Document stores
Score2.18
Rank#114  Overall
#21  Document stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitepinot.apache.orggithub.com/­techfort/­LokiJSpouchdb.comwww.searchxml.net/­category/­products
Technical documentationdocs.pinot.apache.orgtechfort.github.io/­LokiJSpouchdb.com/­guideswww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation and contributorsApache Software Foundationinformationpartners gmbh
Initial release2015201420122015
Current release1.0.0, September 20237.1.1, June 20191.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptJavaScriptC++
Server operating systemsAll OS with a Java JDK11 or higherserver-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonoyes
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.nonoyes
Secondary indexesyes infovia viewsyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBCJavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
Python
JavaScriptJavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresView functions in JavaScriptView functions in JavaScriptyes infoon the application server
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possiblenomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnonoDomain, group and role-based access control at the document level and for application services

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More resources
Apache PinotLokiJSPouchDBsearchxml
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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