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DBMS > JSqlDb vs. Milvus vs. OpenSearch vs. PouchDB

System Properties Comparison JSqlDb vs. Milvus vs. OpenSearch vs. PouchDB

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Editorial information provided by DB-Engines
NameJSqlDb  Xexclude from comparisonMilvus  Xexclude from comparisonOpenSearch  Xexclude from comparisonPouchDB  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionJavaScript Query Language Database, stores JavaScript objects and primitivesA DBMS designed for efficient storage of vector data and vector similarity searchesA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Object oriented DBMS
Vector DBMSSearch engineDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score16.36
Rank#37  Overall
#4  Search engines
Score2.28
Rank#115  Overall
#21  Document stores
Websitejsqldb.org (offline)milvus.iogithub.com/­opensearch-project
opensearch.org
pouchdb.com
Technical documentationmilvus.io/­docs/­overview.mdopensearch.org/­docs/­latestpouchdb.com/­guides
DeveloperKonrad von BackstromAmazon Web ServicesApache Software Foundation
Initial release2018201920212012
Current release0.8, December 20182.3.4, January 20242.5.0, January 20237.1.1, June 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source
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.
Zilliz Cloud – Cloud-native service for MilvusAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
Implementation languageC++, GoJavaJavaScript
Server operating systemsLinux
macOS
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or datenoVector, Numeric and Stringyesno
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 indexesnonoyes infoAll search fields are automatically indexedyes infovia views
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaScriptC++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
JavaScript
Server-side scripts infoStored proceduresfunctions in JavaScriptnoyesView functions in JavaScript
Triggersnonoyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual 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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing RocksDByesyesyes 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.yesyes
User concepts infoAccess controlRole based access control and fine grained access rightsno
More information provided by the system vendor
JSqlDbMilvusOpenSearchPouchDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
The OpenSearch Project offers open source software licensed under Apache License...
» more

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3rd partiesAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

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More resources
JSqlDbMilvusOpenSearchPouchDB
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