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DBMS > Apache Phoenix vs. CouchDB vs. InfinityDB vs. KeyDB

System Properties Comparison Apache Phoenix vs. CouchDB vs. InfinityDB vs. KeyDB

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NameApache Phoenix  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonInfinityDB  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A Java embedded Key-Value Store which extends the Java Map interfaceAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSDocument storeKey-value storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score10.26
Rank#45  Overall
#7  Document stores
Score0.07
Rank#359  Overall
#54  Key-value stores
Score0.80
Rank#219  Overall
#31  Key-value stores
Websitephoenix.apache.orgcouchdb.apache.orgboilerbay.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationphoenix.apache.orgdocs.couchdb.org/­en/­stableboilerbay.com/­infinitydb/­manualdocs.keydb.dev
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerBoiler Bay Inc.EQ Alpha Technology Ltd.
Initial release2014200520022019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20234.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJavaC++
Server operating systemsLinux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrayspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesyes infovia viewsno infomanual creation possible, using inversions based on multi-value capabilityyes infoby using the Redis Search module
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCRESTful HTTP/JSON APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
JavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptnoLua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACID infoOptimistic locking for transactions; no isolation for bulk loadsOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databasenosimple password-based access control and ACL

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Apache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"InfinityDBKeyDB
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