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DBMS > Apache Phoenix vs. CouchDB vs. Dragonfly vs. InfinityDB vs. Pinecone

System Properties Comparison Apache Phoenix vs. CouchDB vs. Dragonfly vs. InfinityDB vs. Pinecone

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDragonfly  Xexclude from comparisonInfinityDB  Xexclude from comparisonPinecone  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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA Java embedded Key-Value Store which extends the Java Map interfaceA managed, cloud-native vector database
Primary database modelRelational DBMSDocument storeKey-value storeKey-value storeVector DBMS
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
Score8.30
Rank#47  Overall
#7  Document stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitephoenix.apache.orgcouchdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
boilerbay.comwww.pinecone.io
Technical documentationphoenix.apache.orgdocs.couchdb.org/­en/­stablewww.dragonflydb.io/­docsboilerbay.com/­infinitydb/­manualdocs.pinecone.io/­docs/­overview
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDragonflyDB team and community contributorsBoiler Bay Inc.Pinecone Systems, Inc
Initial release20142005202320022019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20231.0, March 20234.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoBSL 1.1commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++Java
Server operating systemsLinux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java VMhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freescheme-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesnostrings, hashes, lists, sets, sorted sets, bit arraysyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysString, Number, Boolean
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.nonononono
Secondary indexesyesyes infovia viewsnono infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesnononono
APIs and other access methodsJDBCRESTful HTTP/JSON APIProprietary protocol infoRESP - REdis Serialization ProtocolAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP API
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
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
JavaPython
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptLuano
Triggersnoyespublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleAtomic execution of command blocks and scriptsACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnono
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 databasePassword-based authenticationno

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