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DBMS > Badger vs. OpenSearch vs. PouchDB vs. Tkrzw

System Properties Comparison Badger vs. OpenSearch vs. PouchDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonOpenSearch  Xexclude from comparisonPouchDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneJavaScript DBMS with an API inspired by CouchDBA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeSearch engineDocument storeKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score16.31
Rank#36  Overall
#4  Search engines
Score2.18
Rank#114  Overall
#21  Document stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­opensearch-project
opensearch.org
pouchdb.comdbmx.net/­tkrzw
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeropensearch.org/­docs/­latestpouchdb.com/­guides
DeveloperDGraph LabsAmazon Web ServicesApache Software FoundationMikio Hirabayashi
Initial release2017202120122020
Current release2.5.0, January 20237.1.1, June 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageGoJavaJavaScriptC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnono
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 indexesnoyes infoAll search fields are automatically indexedyes infovia views
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGoGo
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptno
Triggersnoyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyes infousing specific database classes
User concepts infoAccess controlnonono
More information provided by the system vendor
BadgerOpenSearchPouchDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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BadgerOpenSearchPouchDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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