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DBMS > Apache Impala vs. Apache Phoenix vs. Citus vs. FileMaker vs. Heroic

System Properties Comparison Apache Impala vs. Apache Phoenix vs. Citus vs. FileMaker vs. Heroic

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCitus  Xexclude from comparisonFileMaker  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Websiteimpala.apache.orgphoenix.apache.orgwww.citusdata.comwww.claris.com/­filemakergithub.com/­spotify/­heroic
Technical documentationimpala.apache.org/­impala-docs.htmlphoenix.apache.orgdocs.citusdata.comwww.claris.com/­resources/­documentationspotify.github.io/­heroic
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationClaris infoa subsidiary of AppleSpotify
Initial release20132014201019832014
Current release4.1.0, June 20225.0-HBase2, July 2018 and 4.15-HBase1, December 20198.1, December 201819.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoAGPL, commercial license also availablecommercialOpen 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 languageC++JavaCJava
Server operating systemsLinuxLinux
Unix
Windows
LinuxiOS infoclient part only
Linux
OS X
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infospecific XML type available, but no XML query functionalityyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infostandard, with numerous extensionsyes infovia pluginsno
APIs and other access methodsJDBC
ODBC
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication, warm standby infosince Version 14yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
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.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory services

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More resources
Apache ImpalaApache PhoenixCitusFileMakerHeroic
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