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DBMS > Badger vs. PouchDB vs. RocksDB vs. Ultipa

System Properties Comparison Badger vs. PouchDB vs. RocksDB vs. Ultipa

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonPouchDB  Xexclude from comparisonRocksDB  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.JavaScript DBMS with an API inspired by CouchDBEmbeddable persistent key-value store optimized for fast storage (flash and RAM)High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelKey-value storeDocument storeKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score2.18
Rank#114  Overall
#21  Document stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.11
Rank#338  Overall
#32  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerpouchdb.comrocksdb.orgwww.ultipa.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerpouchdb.com/­guidesgithub.com/­facebook/­rocksdb/­wikiwww.ultipa.com/­document
DeveloperDGraph LabsApache Software FoundationFacebook, Inc.Ultipa
Initial release2017201220132019
Current release7.1.1, June 20199.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoBSDcommercial
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 languageGoJavaScriptC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonono
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 infovia viewsno
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
C++ API
Java API
RESTful HTTP API
Supported programming languagesGoJavaScriptC
C++
Go
Java
Perl
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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
User concepts infoAccess controlnonono

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More resources
BadgerPouchDBRocksDBUltipa
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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