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DBMS > NSDb vs. PouchDB vs. Quasardb vs. Sphinx

System Properties Comparison NSDb vs. PouchDB vs. Quasardb vs. Sphinx

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSDocument storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitensdb.iopouchdb.comquasar.aisphinxsearch.com
Technical documentationnsdb.io/­Architecturepouchdb.com/­guidesdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperApache Software FoundationquasardbSphinx Technologies Inc.
Initial release2017201220092001
Current release7.1.1, June 20193.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaJavaScriptC++C++
Server operating systemsLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringnoyes infointeger and binaryno
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 indexesall fields are automatically indexedyes infovia viewsyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP REST
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIProprietary protocol
Supported programming languagesJava
Scala
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoView functions in JavaScriptnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailno

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NSDbPouchDBQuasardbSphinx
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