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DBMS > Pinecone vs. SiteWhere vs. TerarkDB

System Properties Comparison Pinecone vs. SiteWhere vs. TerarkDB

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSiteWhere  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseM2M integration platform for persisting/querying time series dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelVector DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.pinecone.iogithub.com/­sitewhere/­sitewheregithub.com/­bytedance/­terarkdb
Technical documentationdocs.pinecone.io/­docs/­overviewsitewhere1.sitewhere.io/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperPinecone Systems, IncSiteWhereByteDance, originally Terark
Initial release201920102016
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Windows
Data schemepredefined schemeschema-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.nonono
Secondary indexesnono
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIHTTP RESTC++ API
Java API
Supported programming languagesPythonC++
Java
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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
User concepts infoAccess controlUsers with fine-grained authorization conceptno

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More resources
PineconeSiteWhereTerarkDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Using the Pinecone vector database in .NET
12 September 2024, InfoWorld

Pinecone serverless goes multicloud as vector database market heats up
27 August 2024, VentureBeat

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

Pinecone launches serverless vector database on Azure, GCP
27 August 2024, TechTarget

Pinecone vector database available on AWS, Azure, and Google clouds
27 August 2024, Blocks & Files

provided by Google News

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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5 September 2024, Analytics Insight

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News



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