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DBMS > Apache Phoenix vs. Badger vs. BigchainDB vs. CouchDB vs. STSdb

System Properties Comparison Apache Phoenix vs. Badger vs. BigchainDB vs. CouchDB vs. STSdb

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value storeDocument storeDocument storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score8.30
Rank#47  Overall
#7  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitephoenix.apache.orggithub.com/­dgraph-io/­badgerwww.bigchaindb.comcouchdb.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationphoenix.apache.orggodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.couchdb.org/­en/­stable
DeveloperApache Software FoundationDGraph LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerSTS Soft SC
Initial release20142017201620052011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoPythonErlangC#
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
LinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnononoyes infoprimitive types and user defined types (classes)
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
Secondary indexesyesnoyes infovia viewsno
SQL infoSupport of SQLyesnononono
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
RESTful HTTP/JSON API.NET Client API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
Java
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoyesAccess rights for users can be defined per databaseno

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More resources
Apache PhoenixBadgerBigchainDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"STSdb
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