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DBMS > OpenMLDB vs. Pinecone

System Properties Comparison OpenMLDB vs. Pinecone

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Our visitors often compare OpenMLDB and Pinecone with TerminusDB and Microsoft Azure Data Explorer.

Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceA managed, cloud-native vector database
Primary database modelTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websiteopenmldb.aiwww.pinecone.io
Technical documentationopenmldb.ai/­docs/­zh/­maindocs.pinecone.io/­docs/­overview
Developer4 Paradigm Inc.Pinecone Systems, Inc
Initial release20202019
Current release2024-2 February 2024
License infoCommercial or Open SourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, Scala
Server operating systemsLinuxhosted
Data schemeFixed schema
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.nono
Secondary indexesyes
SQL infoSupport of SQLyesno
APIs and other access methodsJDBC
SQLAlchemy
RESTful HTTP API
Supported programming languagesC++
Go
Java
Python
Scala
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
OpenMLDBPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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