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DBMS > Apache Phoenix vs. Impala vs. Sphinx

System Properties Comparison Apache Phoenix vs. Impala vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonImpala  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic DBMS for HadoopOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.57
Rank#93  Overall
#49  Relational DBMS
Score18.93
Rank#38  Overall
#23  Relational DBMS
Score7.91
Rank#56  Overall
#6  Search engines
Websitephoenix.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlsphinxsearch.com
Technical documentationphoenix.apache.orgdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlsphinxsearch.com/­docs
DeveloperApache Software FoundationClouderaSphinx Technologies Inc.
Initial release201420132001
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4.0, April 20203.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
Unix
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBCC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess 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 Kerberosno

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More resources
Apache PhoenixImpalaSphinx
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Recent citations in the news

Apache Phoenix Now HBase 2.0 Compatible
20 July 2018, iProgrammer

Developing Python Applications Against Apache Phoenix (HBase)
30 September 2016, DZone News

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27 March 2017, SDTimes.com

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9 July 2021, The Register

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13 May 2020, GlobeNewswire

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25 October 2012, ZDNet

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24 October 2012, Wired

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

Cloudera's Kudu: Like HDFS and HBase in one
28 September 2015, InfoWorld

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4 September 2020, Search Engine Journal

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17 June 2019, H2S Media

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