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DBMS > JaguarDB vs. PouchDB vs. Quasardb vs. Vitess

System Properties Comparison JaguarDB vs. PouchDB vs. Quasardb vs. Vitess

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value store
Vector DBMS
Document storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.jaguardb.compouchdb.comquasar.aivitess.io
Technical documentationwww.jaguardb.com/­support.htmlpouchdb.com/­guidesdoc.quasar.ai/­mastervitess.io/­docs
DeveloperDataJaguar, Inc.Apache Software FoundationquasardbThe Linux Foundation, PlanetScale
Initial release2015201220092013
Current release3.3 July 20237.1.1, June 20193.14.1, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0, commercial licenses available
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.
Implementation languageC++ infothe server part. Clients available in other languagesJavaScriptC++Go
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyes
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 indexesyesyes infovia viewsyes infowith tagsyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes
User concepts infoAccess controlrights management via user accountsnoCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept infono user groups or roles

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More resources
JaguarDBPouchDBQuasardbVitess
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