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DBMS > Impala vs. Postgres-XL

System Properties Comparison Impala vs. Postgres-XL

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.74
Rank#37  Overall
#23  Relational DBMS
Score0.44
Rank#211  Overall
#101  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.postgres-xl.org
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlwww.postgres-xl.org/­documentation
DeveloperCloudera
Initial release20132014 infosince 2012, originally named StormDB
Current release3.3.0, August 201910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsLinuxLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 infoXML type, but no XML query functionality
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCC
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard

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More resources
ImpalaPostgres-XL
Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
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Cloudera’s Impala brings Hadoop to SQL and BI
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Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark
3 July 2014, GigaOM

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

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20 August 2016, DZone News

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