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DBMS > Kdb vs. Netezza vs. OushuDB vs. SAP SQL Anywhere vs. Yaacomo

System Properties Comparison Kdb vs. Netezza vs. OushuDB vs. SAP SQL Anywhere vs. Yaacomo

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOushuDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHigh performance Time Series DBMSData warehouse and analytics appliance part of IBM PureSystemsA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.05
Rank#357  Overall
#151  Relational DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Websitekx.comwww.ibm.com/­products/­netezzawww.oushu.com/­product/­oushuDBwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlyaacomo.com
Technical documentationcode.kx.comwww.oushu.com/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperKx Systems, a division of First Derivatives plcIBMOushuSAP infoformerly SybaseQ2WEB GmbH
Initial release2000 infokdb was released 2000, kdb+ in 2003200019922009
Current release3.6, May 20184.0.1, August 202017, July 2015
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageq
Server operating systemsLinux
OS X
Solaris
Windows
Linux infoincluded in applianceLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesyesyesyes
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.yesyesno
Secondary indexesyes infotable attribute 'grouped'yesyesyesyes
SQL infoSupport of SQLSQL-like query language (q)yesFull-featured ANSI SQL supportyesyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
OLE DB
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesyesyes, in C/C++, Java, .Net or Perl
Triggersyes infowith viewsnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication infoDatabase mirroringSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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.yesyesyes
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization conceptKerberos, SSL and role based accessfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
KdbNetezza infoAlso called PureData System for Analytics by IBMOushuDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYaacomo
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
KdbNetezza infoAlso called PureData System for Analytics by IBMOushuDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYaacomo
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