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DBMS > Apache Phoenix vs. HBase vs. Heroic vs. Oracle NoSQL

System Properties Comparison Apache Phoenix vs. HBase vs. Heroic vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHBase  Xexclude from comparisonHeroic  Xexclude from comparisonOracle NoSQL  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 ElasticSearchA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelRelational DBMSWide column storeTime Series DBMSDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websitephoenix.apache.orghbase.apache.orggithub.com/­spotify/­heroicwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationphoenix.apache.orghbase.apache.org/­book.htmlspotify.github.io/­heroicdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetSpotifyOracle
Initial release2014200820142011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 202124.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsLinux
Unix
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Solaris SPARC/x86
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free, schema definition possibleschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesoptional
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 Elasticsearchyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in Javanono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnoyes infooff heap cache
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 and roles

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Apache PhoenixHBaseHeroicOracle NoSQL
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