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DBMS > Pinecone vs. Quasardb

System Properties Comparison Pinecone vs. Quasardb

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseDistributed, high-performance timeseries database
Primary database modelVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#94  Overall
#2  Vector DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.pinecone.ioquasar.ai
Technical documentationdocs.pinecone.io/­docs/­overviewdoc.quasar.ai/­master
DeveloperPinecone Systems, Incquasardb
Initial release20192009
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 licenses
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedBSD
Linux
OS X
Windows
Data schemeschema-free
Typing infopredefined data types such as float or dateString, Number, Booleanyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API
Supported programming languagesPython.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration
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 dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDB
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 trail

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More resources
PineconeQuasardb
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