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DBMS > Pinecone vs. SwayDB vs. Tigris

System Properties Comparison Pinecone vs. SwayDB vs. Tigris

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSwayDB  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelVector DBMSKey-value storeDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#80  Overall
#4  Vector DBMS
Score0.00
Rank#391  Overall
#62  Key-value stores
Score0.05
Rank#360  Overall
#50  Document stores
#53  Key-value stores
#23  Search engines
#37  Time Series DBMS
Websitewww.pinecone.ioswaydb.simer.auwww.tigrisdata.com
Technical documentationdocs.pinecone.io/­docs/­overviewwww.tigrisdata.com/­docs
DeveloperPinecone Systems, IncSimer PlahaTigris Data, Inc.
Initial release201920182022
License infoCommercial or Open SourcecommercialOpen Source infoGNU Affero GPL V3.0Open 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 languageScala
Server operating systemshostedLinux
macOS
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateString, Number, Booleannoyes
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 indexesnoyes
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APICLI Client
gRPC
RESTful HTTP API
Supported programming languagesPythonJava
Kotlin
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users and roles

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More resources
PineconeSwayDBTigris
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Pinecone integrates AI inferencing with vector database
2 December 2024, Blocks and Files

Pinecone expands vector database with cascading retrieval, boosting enterprise AI accuracy by up to 48%
2 December 2024, VentureBeat

Pinecone Spruces Up AI Knowledge Platform
2 December 2024, Forbes

First-of-its-kind Pinecone Knowledge Platform to Power Best-in-class Retrieval for Customers
3 December 2024, PR Newswire

Pinecone Revamps Retrieval Capabilities for Its Vector Database Platform
3 December 2024, The New Stack

provided by Google News

Investing in Tigris
20 February 2024, Andreessen Horowitz

Storage news ticker – May 31
31 May 2022, Blocks and Files

provided by Google News



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