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DBMS > Apache Pinot vs. Pinecone

System Properties Comparison Apache Pinot vs. Pinecone

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Our visitors often compare Apache Pinot and Pinecone with Elasticsearch, PostgreSQL and Databricks.

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA managed, cloud-native vector database
Primary database modelRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitepinot.apache.orgwww.pinecone.io
Technical documentationdocs.pinot.apache.orgdocs.pinecone.io/­docs/­overview
DeveloperApache Software Foundation and contributorsPinecone Systems, Inc
Initial release20152019
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higherhosted
Data schemeyes
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.no
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJDBCRESTful HTTP API
Supported programming languagesGo
Java
Python
Python
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no

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More resources
Apache PinotPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Real-Time Analytics for Mobile App Crashes using Apache Pinot
2 November 2023, Uber

Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage
16 August 2023, InfoQ.com

StarTree Announces Integration between Apache Pinot and Delta Lake with StarTree Cloud
20 June 2023, Datanami

StarTree brings Apache Pinot real-time database to the cloud
22 March 2022, TechTarget

Data analytics startup StarTree secures cash to expand its Apache Pinot-powered platform
29 August 2022, TechCrunch

provided by Google News

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

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

Pinecone: New vector database architecture a 'breakthrough' to curb AI hallucinations
16 January 2024, VentureBeat

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
21 March 2024, AWS Blog

Pinecone’s vector database gets a new serverless architecture
16 January 2024, TechCrunch

provided by Google News



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