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DBMS > Apache Pinot vs. Elasticsearch vs. Lovefield vs. PouchDB

System Properties Comparison Apache Pinot vs. Elasticsearch vs. Lovefield vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonElasticsearch  Xexclude from comparisonLovefield  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA 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 metricEmbeddable relational database for web apps written in pure JavaScriptJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSSearch engineRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websitepinot.apache.orgwww.elastic.co/­elasticsearchgoogle.github.io/­lovefieldpouchdb.com
Technical documentationdocs.pinot.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpouchdb.com/­guides
DeveloperApache Software Foundation and contributorsElasticGoogleApache Software Foundation
Initial release2015201020142012
Current release1.0.0, September 20238.6, January 20232.1.12, February 20177.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptJavaScript
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safariserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infoAll search fields are automatically indexedyesyes infovia views
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScriptJavaScript
Server-side scripts infoStored proceduresyesnoView functions in JavaScript
Triggersyes infoby using the 'percolation' featureUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes infousing MemoryDByes
User concepts infoAccess controlnono

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Apache PinotElasticsearchLovefieldPouchDB
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