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DBMS > Citus vs. Kdb vs. Netezza vs. YottaDB

System Properties Comparison Citus vs. Kdb vs. Netezza vs. YottaDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonKdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh performance Time Series DBMSData warehouse and analytics appliance part of IBM PureSystemsA fast and solid embedded Key-value store
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSKey-value store
Secondary database modelsDocument storeRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.citusdata.comkx.comwww.ibm.com/­products/­netezzayottadb.com
Technical documentationdocs.citusdata.comcode.kx.comyottadb.com/­resources/­documentation
DeveloperKx Systems, a division of First Derivatives plcIBMYottaDB, LLC
Initial release20102000 infokdb was released 2000, kdb+ in 200320002001
Current release8.1, December 20183.6, May 2018
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infofree 32-bit versioncommercialOpen Source infoAGPL 3.0
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.
Implementation languageCqC
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux infoincluded in applianceDocker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infospecific XML type available, but no XML query functionalityyesno
Secondary indexesyesyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query language (q)yesby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
OLE DB
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsyes
Triggersyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsUsers with fine-grained authorization conceptUsers and groups based on OS-security mechanisms
More information provided by the system vendor
CitusKdbNetezza infoAlso called PureData System for Analytics by IBMYottaDB
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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More resources
CitusKdbNetezza infoAlso called PureData System for Analytics by IBMYottaDB
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