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DBMS > Amazon CloudSearch vs. OrigoDB vs. Pinecone

System Properties Comparison Amazon CloudSearch vs. OrigoDB vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonOrigoDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA fully ACID in-memory object graph databaseA managed, cloud-native vector database
Primary database modelSearch engineDocument store
Object oriented DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­cloudsearchorigodb.comwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchorigodb.com/­docsdocs.pinecone.io/­docs/­overview
DeveloperAmazonRobert Friberg et alPinecone Systems, Inc
Initial release20122009 infounder the name LiveDB2019
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 languageC#
Server operating systemshostedLinux
Windows
hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsString, 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.no infocan be achieved using .NETno
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP API.NET Client API
HTTP API
LINQ
RESTful HTTP API
Supported programming languages.NetPython
Server-side scripts infoStored proceduresnoyes
Triggersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Foreign keys infoReferential integritynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
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 signaturesRole based authorization

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More resources
Amazon CloudSearchOrigoDBPinecone
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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

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

provided by Google News

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11 June 2024, PR Newswire

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14 June 2024, Yahoo Movies UK

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

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

A New Era AI Databases: PostgreSQL with pgvectorscale Outperforms Pinecone and Cuts Costs by 75% with New Open-Source Extensions
12 June 2024, MarkTechPost

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