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DBMS > Badger vs. JaguarDB vs. LeanXcale vs. PouchDB

System Properties Comparison Badger vs. JaguarDB vs. LeanXcale vs. PouchDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonJaguarDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Performant, highly scalable DBMS for AI and IoT applicationsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeKey-value store
Vector DBMS
Key-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.jaguardb.comwww.leanxcale.compouchdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.jaguardb.com/­support.htmlpouchdb.com/­guides
DeveloperDGraph LabsDataJaguar, Inc.LeanXcaleApache Software Foundation
Initial release2017201520152012
Current release3.3 July 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL V3.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ infothe server part. Clients available in other languagesJavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesno
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 indexesnoyesyes infovia views
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infothrough Apache Derbyno
APIs and other access methodsJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
Java
Scala
JavaScript
Server-side scripts infoStored proceduresnonoView functions in JavaScript
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
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 persistentyesyesyesyes 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.nonoyesyes
User concepts infoAccess controlnorights management via user accountsno

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More resources
BadgerJaguarDBLeanXcalePouchDB
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