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DBMS > Apache Phoenix vs. OpenQM vs. ReductStore

System Properties Comparison Apache Phoenix vs. OpenQM vs. ReductStore

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseQpenQM is a high-performance, self-tuning, multi-value DBMSDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSMultivalue DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitephoenix.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­reductstore
www.reduct.store
Technical documentationphoenix.apache.orgwww.reduct.store/­docs
DeveloperApache Software FoundationRocket Software, originally Martin PhillipsReductStore LLC
Initial release201419932023
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4-121.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Rust
Server operating systemsLinux
Unix
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyes infowith some exceptions
Typing infopredefined data types such as float or dateyes
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLyesno
APIs and other access methodsJDBCHTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights can be defined down to the item level

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More resources
Apache PhoenixOpenQM infoalso called QMReductStore
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix
2 June 2016, AWS Blog

Deep dive into Azure HDInsight 4.0
25 September 2018, Microsoft

Hortonworks Starts Hadoop Summit with Data Platform Update
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28 March 2022, iProgrammer

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provided by Google News



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