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DBMS > Apache Phoenix vs. Dragonfly vs. IBM Cloudant vs. InfinityDB

System Properties Comparison Apache Phoenix vs. Dragonfly vs. IBM Cloudant vs. InfinityDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDragonfly  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceDatabase as a Service offering based on Apache CouchDBA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSKey-value storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score2.75
Rank#104  Overall
#19  Document stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Websitephoenix.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ibm.com/­products/­cloudantboilerbay.com
Technical documentationphoenix.apache.orgwww.dragonflydb.io/­docscloud.ibm.com/­docs/­Cloudantboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationDragonflyDB team and community contributorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Boiler Bay Inc.
Initial release2014202320102002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0, March 20234.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ErlangJava
Server operating systemsLinux
Unix
Windows
LinuxhostedAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesscheme-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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 indexesyesnoyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP/JSON APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
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
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Server-side scripts infoStored proceduresuser defined functionsLuaView functions (Map-Reduce) in JavaScriptno
Triggersnopublish/subscribe channels provide some trigger functionalityyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
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 dataACIDAtomic execution of command blocks and scriptsno infoatomic operations within a document possibleACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPassword-based authenticationAccess rights for users can be defined per databaseno

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Apache PhoenixDragonflyIBM CloudantInfinityDB
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