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DBMS > Badger vs. CouchDB vs. Hazelcast vs. Quasardb

System Properties Comparison Badger vs. CouchDB vs. Hazelcast vs. Quasardb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHazelcast  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A widely adopted in-memory data gridDistributed, high-performance timeseries database
Primary database modelKey-value storeDocument storeKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score7.46
Rank#51  Overall
#7  Document stores
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgercouchdb.apache.orghazelcast.comquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.couchdb.org/­en/­stablehazelcast.org/­imdg/­docsdoc.quasar.ai/­master
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHazelcastquasardb
Initial release2017200520082009
Current release3.3.3, December 20235.3.6, November 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoApache Version 2; commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlangJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonoyesyes infointeger and binary
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnoyes infovia viewsyesyes infowith tags
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Supported programming languagesGoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes infoEvent Listeners, Executor Servicesno
Triggersnoyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0ShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes infoReplicated MapSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users can be defined per databaseRole-based access controlCryptographically strong user authentication and audit trail

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More resources
BadgerCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"HazelcastQuasardb
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