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DBMS > Pinecone vs. Yaacomo vs. YottaDB

System Properties Comparison Pinecone vs. Yaacomo vs. YottaDB

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonYaacomo  Xexclude from comparisonYottaDB  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA managed, cloud-native vector databaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computingA fast and solid embedded Key-value store
Primary database modelVector DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.pinecone.ioyaacomo.comyottadb.com
Technical documentationdocs.pinecone.io/­docs/­overviewyottadb.com/­resources/­documentation
DeveloperPinecone Systems, IncQ2WEB GmbHYottaDB, LLC
Initial release201920092001
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedAndroid
Linux
Windows
Docker
Linux
Data schemeyesschema-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 indexesyesno
SQL infoSupport of SQLnoyesby using the Octo plugin
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesPythonC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
PineconeYaacomoYottaDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Pinecone launches serverless edition of its vector database on AWS
22 May 2024, SiliconANGLE News

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

Pinecone Launches Serverless Vector Database for Scalable AI Applications
21 May 2024, Datanami

How a Decades-Old Technology and a Paper From Meta Created an AI Industry Standard
21 May 2024, The Wall Street Journal

Channel Brief: Dell Explains AI Factory, Informatica AI Research, Pinecone Goes Serverless and More
22 May 2024, Channel E2E

provided by Google News



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