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DBMS > Microsoft Azure Table Storage vs. Pinecone

System Properties Comparison Microsoft Azure Table Storage vs. Pinecone

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Our visitors often compare Microsoft Azure Table Storage and Pinecone with Microsoft Azure Cosmos DB, MongoDB and Redis.

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA managed, cloud-native vector database
Primary database modelWide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#84  Overall
#7  Wide column stores
Score3.06
Rank#87  Overall
#4  Vector DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.pinecone.io
Technical documentationdocs.pinecone.io/­docs/­overview
DeveloperMicrosoftPinecone Systems, Inc
Initial release20122019
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhosted
Data schemeschema-free
Typing infopredefined data types such as float or dateyesString, 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 indexesno
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signatures

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More resources
Microsoft Azure Table StoragePinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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7 October 2024, AWS Blog

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12 September 2024, InfoWorld

Pinecone serverless goes multicloud as vector database market heats up
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