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DBMS > HBase vs. Kdb vs. MonetDB vs. Postgres-XL

System Properties Comparison HBase vs. Kdb vs. MonetDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonKdb  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableHigh performance Time Series DBMSA relational database management system that stores data in columnsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelWide column storeTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitehbase.apache.orgkx.comwww.monetdb.orgwww.postgres-xl.org
Technical documentationhbase.apache.org/­book.htmlcode.kx.comwww.monetdb.org/­Documentationwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plcMonetDB BV
Initial release20082000 infokdb was released 2000, kdb+ in 200320042014 infosince 2012, originally named StormDB
Current release2.3.4, January 20213.6, May 2018Dec2023 (11.49), December 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqCC
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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.noyesyes infoXML type, but no XML query functionality
Secondary indexesnoyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query language (q)yes infoSQL 2003 with some extensionsyes infodistributed, parallel query execution
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functionsyes, in SQL, C, Ruser defined functions
Triggersyesyes infowith viewsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
HBaseKdbMonetDBPostgres-XL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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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...
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Licensing and pricing modelsupon request
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More resources
HBaseKdbMonetDBPostgres-XL
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