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DBMS > JaguarDB vs. Netezza vs. NSDb vs. Splunk

System Properties Comparison JaguarDB vs. Netezza vs. NSDb vs. Splunk

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAnalytics Platform for Big Data
Primary database modelKey-value store
Vector DBMS
Relational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score93.02
Rank#13  Overall
#2  Search engines
Websitewww.jaguardb.comwww.ibm.com/­products/­netezzansdb.iowww.splunk.com
Technical documentationwww.jaguardb.com/­support.htmlnsdb.io/­Architecturedocs.splunk.com/­Documentation/­Splunk
DeveloperDataJaguar, Inc.IBMSplunk Inc.
Initial release2015200020172003
Current release3.3 July 2023
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2.0commercial infoLimited free edition and free developer edition available
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 languageC++ infothe server part. Clients available in other languagesJava, Scala
Server operating systemsLinuxLinux infoincluded in applianceLinux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.nonoyes
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesSQL-like query languageno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
HTTP REST
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
JaguarDBNetezza infoAlso called PureData System for Analytics by IBMNSDbSplunk
DB-Engines blog posts

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

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Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, azure.microsoft.com

IBM Completes Acquisition of Netezza
11 November 2010, PR Newswire

provided by Google News



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