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DBMS > Ingres vs. Kdb vs. Netezza vs. searchxml vs. TerarkDB

System Properties Comparison Ingres vs. Kdb vs. Netezza vs. searchxml vs. TerarkDB

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonKdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonsearchxml  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionWell established RDBMSHigh performance Time Series DBMSData warehouse and analytics appliance part of IBM PureSystemsDBMS for structured and unstructured content wrapped with an application serverA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSNative XML DBMS
Search engine
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.actian.com/­databases/­ingreskx.comwww.ibm.com/­products/­netezzawww.searchxml.net/­category/­productsgithub.com/­bytedance/­terarkdb
Technical documentationdocs.actian.com/­ingrescode.kx.comwww.searchxml.net/­support/­handoutsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperActian CorporationKx Systems, a division of First Derivatives plcIBMinformationpartners gmbhByteDance, originally Terark
Initial release1974 infooriginally developed at University Berkely in early 1970s2000 infokdb was released 2000, kdb+ in 2003200020152016
Current release11.2, May 20223.6, May 20181.0
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCqC++C++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceWindows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.no infobut tools for importing/exporting data from/to XML-files availableyesyesno
Secondary indexesyesyes infotable attribute 'grouped'yesyesno
SQL infoSupport of SQLyesSQL-like query language (q)yesnono
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
OLE DB
RESTful HTTP API
WebDAV
XQuery
XSLT
C++ API
Java API
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++ infomost other programming languages supported via APIsC++
Java
Server-side scripts infoStored proceduresyesuser defined functionsyesyes infoon the application serverno
Triggersyesyes infowith viewsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorSource-replica replicationSource-replica replicationyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsUsers with fine-grained authorization conceptDomain, group and role-based access control at the document level and for application servicesno
More information provided by the system vendor
IngresKdbNetezza infoAlso called PureData System for Analytics by IBMsearchxmlTerarkDB
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...
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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
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IngresKdbNetezza infoAlso called PureData System for Analytics by IBMsearchxmlTerarkDB
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