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DBMS > Databricks vs. Pinecone

System Properties Comparison Databricks vs. Pinecone

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Our visitors often compare Databricks and Pinecone with Microsoft Azure Cosmos DB, Amazon Redshift and Snowflake.

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A managed, cloud-native vector database
Primary database modelDocument store
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score3.29
Rank#94  Overall
#2  Vector DBMS
Websitewww.databricks.comwww.pinecone.io
Technical documentationdocs.databricks.comdocs.pinecone.io/­docs/­overview
DeveloperDatabricksPinecone Systems, Inc
Initial release20132019
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateString, 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.yesno
Secondary indexesyes
SQL infoSupport of SQLwith Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPython
R
Scala
Python
Server-side scripts infoStored proceduresuser defined functions and aggregates
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
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
More information provided by the system vendor
DatabricksPinecone
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPinecone
DB-Engines blog posts

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Recent citations in the news

Databricks launches AI-driven Data Intelligence Platform for Energy sector
12 April 2024, DataCenterNews Asia

Databricks highlights DBRX: Cutting-edge open-source AI
12 April 2024, SiliconANGLE News

Databricks CEO Says Competition Spurred High-Profile Exit at Snowflake
27 March 2024, Yahoo Finance

Databricks claims its open source foundational LLM outsmarts GPT-3.5
28 March 2024, The Register

AI is Driving Record Sales at Multibillion-Dollar Databricks. An IPO Can Wait … - WSJ
6 March 2024, The Wall Street Journal

provided by Google News

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

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14 July 2023, VentureBeat

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

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

Pinecone Unveils Serverless Vector Database for Enhanced AI Applications
16 January 2024, Datanami

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