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DBMS > Apache Phoenix vs. HBase vs. Heroic vs. Hive vs. KairosDB

System Properties Comparison Apache Phoenix vs. HBase vs. Heroic vs. Hive vs. KairosDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHBase  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Time Series DBMS based on Cassandra or H2
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Websitephoenix.apache.orghbase.apache.orggithub.com/­spotify/­heroichive.apache.orggithub.com/­kairosdb/­kairosdb
Technical documentationphoenix.apache.orghbase.apache.org/­book.htmlspotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Homekairosdb.github.io
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetSpotifyApache Software Foundation infoinitially developed by Facebook
Initial release20142008201420122013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 20213.1.3, April 20221.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJavaJava
Server operating systemsLinux
Unix
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesyes
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 Elasticsearchyesno
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in Javanoyes infouser defined functions and integration of map-reduceno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yesselectable replication factorselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)nonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolessimple password-based access control

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More resources
Apache PhoenixHBaseHeroicHiveKairosDB
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