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DBMS > Impala vs. Kdb+ vs. MySQL vs. Postgres-XL

System Properties Comparison Impala vs. Kdb+ vs. MySQL vs. Postgres-XL

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonKdb+  Xexclude from comparisonMySQL  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh performance Time Series DBMSWidely used open source RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.68
Rank#38  Overall
#23  Relational DBMS
Score8.00
Rank#54  Overall
#2  Time Series DBMS
Score1219.77
Rank#2  Overall
#2  Relational DBMS
Score0.69
Rank#209  Overall
#103  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlkx.comwww.mysql.comwww.postgres-xl.org
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlcode.kx.comdev.mysql.com/­docwww.postgres-xl.org/­documentation
DeveloperClouderaKx Systems, a division of First Derivatives plcOracle infosince 2010, originally MySQL AB, then Sun
Initial release20132000 infokdb was released 2000, kdb+ in 200319952014 infosince 2012, originally named StormDB
Current release3.4.0, April 20203.6, May 20188.0.26, July 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree 32-bit versionOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++qC and C++C
Server operating systemsLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyesyes infoXML type, but no XML query functionality
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)yes infowith proprietary extensionsyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.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 functionsyes infoproprietary syntaxuser defined functions
Triggersnoyes infowith viewsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infonot for MyISAM storage engineACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
ImpalaKdb+MySQLPostgres-XL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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