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DBMS > Netezza vs. Pinecone vs. RocksDB vs. Splice Machine vs. Splunk

System Properties Comparison Netezza vs. Pinecone vs. RocksDB vs. Splice Machine vs. Splunk

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAnalytics Platform for Big Data
Primary database modelRelational DBMSVector DBMSKey-value storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score93.02
Rank#13  Overall
#2  Search engines
Websitewww.ibm.com/­products/­netezzawww.pinecone.iorocksdb.orgsplicemachine.comwww.splunk.com
Technical documentationdocs.pinecone.io/­docs/­overviewgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-worksdocs.splunk.com/­Documentation/­Splunk
DeveloperIBMPinecone Systems, IncFacebook, Inc.Splice MachineSplunk Inc.
Initial release20002019201320142003
Current release9.4.0, June 20243.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license availablecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinux infoincluded in appliancehostedLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleannoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnonoyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
ODBC
OLE DB
RESTful HTTP APIC++ API
Java API
JDBC
Native Spark Datasource
ODBC
HTTP REST
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
PythonC
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infoJavayes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno 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, multi-version concurrency control (MVCC)yes
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.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization conceptnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
Netezza infoAlso called PureData System for Analytics by IBMPineconeRocksDBSplice MachineSplunk
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