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DBMS > Badger vs. Kinetica vs. PouchDB vs. Rockset vs. Sequoiadb

System Properties Comparison Badger vs. Kinetica vs. PouchDB vs. Rockset vs. Sequoiadb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonKinetica  Xexclude from comparisonPouchDB  Xexclude from comparisonRockset  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Fully vectorized database across both GPUs and CPUsJavaScript DBMS with an API inspired by CouchDBA scalable, reliable search and analytics service in the cloud, built on RocksDBNewSQL database with distributed OLTP and SQL
Primary database modelKey-value storeRelational DBMSDocument storeDocument storeDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.kinetica.compouchdb.comrockset.comwww.sequoiadb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.kinetica.compouchdb.com/­guidesdocs.rockset.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDGraph LabsKineticaApache Software FoundationRocksetSequoiadb Ltd.
Initial release20172012201220192013
Current release7.1, August 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++JavaScriptC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnodynamic typingyes infooid, date, timestamp, binary, regex
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.nononono infoingestion from XML files supportedno
Secondary indexesnoyesyes infovia viewsall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoRead-only SQL queries, including JOINsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP RESTproprietary protocol using JSON
Supported programming languagesGoC++
Java
JavaScript (Node.js)
Python
JavaScriptGo
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptnoJavaScript
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlnoAccess rights for users and roles on table levelnoAccess rights for users and organizations can be defined via Rockset consolesimple password-based access control

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More resources
BadgerKineticaPouchDBRocksetSequoiadb
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