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DBMS > Amazon CloudSearch vs. LokiJS vs. Pinecone

System Properties Comparison Amazon CloudSearch vs. LokiJS vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonLokiJS  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudIn-memory JavaScript DBMSA managed, cloud-native vector database
Primary database modelSearch engineDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.49
Rank#260  Overall
#42  Document stores
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­techfort/­LokiJSwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchtechfort.github.io/­LokiJSdocs.pinecone.io/­docs/­overview
DeveloperAmazonPinecone Systems, Inc
Initial release201220142019
License infoCommercial or Open SourcecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScript
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesnoString, Number, Boolean
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.nono
Secondary indexesyes infoall search fields are automatically indexedyes infovia views
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP APIJavaScript APIRESTful HTTP API
Supported programming languagesJavaScriptPython
Server-side scripts infoStored proceduresnoView functions in JavaScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchLokiJSPinecone
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

Serverless Reference Architectures with AWS Lambda
10 May 2016, All Things Distributed

provided by Google News

LokiJS - A JavaScript Database
18 November 2014, iProgrammer

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11 June 2024, PR Newswire

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12 June 2024, MarkTechPost

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21 May 2024, TechCrunch

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

Pinecone launches serverless edition of its vector database on AWS
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