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DBMS > Amazon Redshift vs. Apache Phoenix vs. Impala

System Properties Comparison Amazon Redshift vs. Apache Phoenix vs. Impala

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Phoenix  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic DBMS for Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.94
Rank#31  Overall
#18  Relational DBMS
Score3.01
Rank#103  Overall
#52  Relational DBMS
Score18.03
Rank#40  Overall
#25  Relational DBMS
Websiteaws.amazon.com/­redshiftphoenix.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.aws.amazon.com/­redshiftphoenix.apache.orgdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationCloudera
Initial release201220142013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20194.0.0, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemshostedLinux
Unix
Windows
Linux
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBCJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Amazon RedshiftApache PhoenixImpala
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Recent citations in the news

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20 May 2022, SiliconANGLE News

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30 September 2016, DZone

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10 November 2014, InformationWeek

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How to add a data source to Redash
5 April 2022, TechRepublic

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