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DBMS > Netezza vs. SAP SQL Anywhere vs. Splunk

System Properties Comparison Netezza vs. SAP SQL Anywhere vs. Splunk

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAnalytics Platform for Big Data
Primary database modelRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.33
Rank#30  Overall
#18  Relational DBMS
Score4.99
Rank#58  Overall
#33  Relational DBMS
Score87.01
Rank#12  Overall
#2  Search engines
Websitewww.ibm.com/­analytics/­netezzawww.sap.com/­products/­sql-anywhere.htmlwww.splunk.com
Technical documentationhelp.sap.com/­sql-anywheredocs.splunk.com/­Documentation/­Splunk
DeveloperIBMSAP infoformerly SybaseSplunk Inc.
Initial release200019922003
Current release17, July 2015
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemsLinux infoincluded in applianceAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes, in C/C++, Java, .Net or Perlyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication infoDatabase mirroringMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Netezza infoAlso called PureData System for Analytics by IBMSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
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Recent citations in the news

RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

Growing At 237%, Snowflake Says It's Taking Business From Teradata and IBM
16 August 2019, Forbes

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

Know the Current and Future Growth of Active Data Warehousing Market with Analysis of Major Key Players IBM, Netezza, Sybase, Oracle, Kognitio, Teradata, Cloudera, Kognitio, Greenplum, Microsoft, HP
10 September 2019, Market Research Pioneer

Netezza SQL: GROUP_CONCAT, REPLACE and the Data Sampling Trick
31 January 2019, Toolbox

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13 October 2016, TechTarget

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16 July 2015, Computerworld

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7 June 2017, ZDNet

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