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DBMS > Lovefield vs. Pinecone

System Properties Comparison Lovefield vs. Pinecone

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA managed, cloud-native vector database
Primary database modelRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#137  Relational DBMS
Score3.06
Rank#87  Overall
#4  Vector DBMS
Websitegoogle.github.io/­lovefieldwww.pinecone.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.pinecone.io/­docs/­overview
DeveloperGooglePinecone Systems, Inc
Initial release20142019
Current release2.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
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.nono
Secondary indexesyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsRESTful HTTP API
Supported programming languagesJavaScriptPython
Server-side scripts infoStored proceduresno
TriggersUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBno
User concepts infoAccess controlno

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More resources
LovefieldPinecone
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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