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DBMS > Pinecone vs. Quasardb vs. Rockset

System Properties Comparison Pinecone vs. Quasardb vs. Rockset

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonQuasardb  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseDistributed, high-performance timeseries databaseA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelVector DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.pinecone.ioquasar.airockset.com
Technical documentationdocs.pinecone.io/­docs/­overviewdoc.quasar.ai/­masterdocs.rockset.com
DeveloperPinecone Systems, IncquasardbRockset
Initial release201920092019
Current release3.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedBSD
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateString, Number, Booleanyes infointeger and binarydynamic typing
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.nonono infoingestion from XML files supported
Secondary indexesyes infowith tagsall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsRESTful HTTP APIHTTP APIHTTP REST
Supported programming languagesPython.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlCryptographically strong user authentication and audit trailAccess rights for users and organizations can be defined via Rockset console

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More resources
PineconeQuasardbRockset
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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