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DBMS > Elasticsearch vs. Firebolt vs. PouchDB

System Properties Comparison Elasticsearch vs. Firebolt vs. PouchDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFirebolt  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA 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 metricHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseJavaScript DBMS with an API inspired by CouchDB
Primary database modelSearch engineRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.elastic.co/­elasticsearchwww.firebolt.iopouchdb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.firebolt.iopouchdb.com/­guides
DeveloperElasticFirebolt Analytics Inc.Apache Software Foundation
Initial release201020202012
Current release8.6, January 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScript
Server operating systemsAll OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesyes infoAll search fields are automatically indexedyesyes infovia views
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
.Net
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyesnoView functions in JavaScript
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes 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
User concepts infoAccess controlno

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ElasticsearchFireboltPouchDB
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