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DBMS > Pinecone vs. Trafodion

System Properties Comparison Pinecone vs. Trafodion

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Our visitors often compare Pinecone and Trafodion with Drizzle, MySQL and Transbase.

Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA managed, cloud-native vector databaseTransactional SQL-on-Hadoop DBMS
Primary database modelVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#77  Overall
#6  Vector DBMS
Websitewww.pinecone.iotrafodion.apache.org
Technical documentationdocs.pinecone.io/­docs/­overviewtrafodion.apache.org/­documentation.html
DeveloperPinecone Systems, IncApache Software Foundation, originally developed by HP
Initial release20192014
Current release2.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java
Server operating systemshostedLinux
Data schemeyes
Typing infopredefined data types such as float or dateString, Number, Booleanyes
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
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesPythonAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored Procedures
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
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 dataACID
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 controlfine grained access rights according to SQL-standard

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More resources
PineconeTrafodion
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Pinecone turns unstructured data into knowledgeable intel for developers with Microsoft Azure
2 April 2025, Microsoft

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

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

Pinecone Named to Fast Company's Annual List of the World's Most Innovative Companies of 2025
18 March 2025, PR Newswire

Pinecone Revamps Vector Database Architecture for AI Apps
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Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

Apache Software Foundation Releases its 2019 Fiscal Year Report
17 August 2019, Open Source For You

provided by Google News



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