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DBMS > Netezza vs. Realm vs. RocksDB vs. Splunk

System Properties Comparison Netezza vs. Realm vs. RocksDB vs. Splunk

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRealm  Xexclude from comparisonRocksDB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Analytics Platform for Big Data
Primary database modelRelational DBMSDocument storeKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score93.02
Rank#13  Overall
#2  Search engines
Websitewww.ibm.com/­products/­netezzarealm.iorocksdb.orgwww.splunk.com
Technical documentationrealm.io/­docsgithub.com/­facebook/­rocksdb/­wikidocs.splunk.com/­Documentation/­Splunk
DeveloperIBMRealm, acquired by MongoDB in May 2019Facebook, Inc.Splunk Inc.
Initial release2000201420132003
Current release9.4.0, June 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoBSDcommercial 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++
Server operating systemsLinux infoincluded in applianceAndroid
Backend: server-less
iOS
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesnonono infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
ODBC
OLE DB
C++ API
Java API
HTTP REST
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Go
Java
Perl
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno inforuns within the applications so server-side scripts are unnecessarynoyes
Triggersnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno 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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyesno
User concepts infoAccess controlUsers with fine-grained authorization conceptyesnoAccess rights for users and roles

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More resources
Netezza infoAlso called PureData System for Analytics by IBMRealmRocksDBSplunk
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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, Microsoft

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