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DBMS > Pinecone vs. Splunk vs. Tkrzw

System Properties Comparison Pinecone vs. Splunk vs. Tkrzw

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSplunk  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseAnalytics Platform for Big DataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelVector DBMSSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.37
Rank#103  Overall
#2  Vector DBMS
Score91.65
Rank#14  Overall
#2  Search engines
Score0.00
Rank#395  Overall
#66  Key-value stores
Websitewww.pinecone.iowww.splunk.comdbmx.net/­tkrzw
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.splunk.com/­Documentation/­Splunk
DeveloperPinecone Systems, IncSplunk Inc.Mikio Hirabayashi
Initial release201920032020
Current release0.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercial infoLimited free edition and free developer edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-free
Typing infopredefined data types such as float or dateString, Number, Booleanyesno
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.noyesno
Secondary indexesyes
SQL infoSupport of SQLnono infoSplunk Search Processing Language for search commandsno
APIs and other access methodsRESTful HTTP APIHTTP REST
Supported programming languagesPythonC#
Java
JavaScript
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano 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.nonoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesno

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More resources
PineconeSplunkTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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Recent citations in the news

Pinecone Introduces its Serverless Vector Database
3 February 2024, InfoQ.com

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

Pinecone leads 'explosion' in vector databases for generative AI
14 July 2023, VentureBeat

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

Pinecone’s vector database gets a new serverless architecture
16 January 2024, TechCrunch

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