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DBMS > Pinecone vs. Warp 10 vs. Yanza

System Properties Comparison Pinecone vs. Warp 10 vs. Yanza

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonWarp 10  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA managed, cloud-native vector databaseTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseTime Series DBMS for IoT Applications
Primary database modelVector DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.pinecone.iowww.warp10.ioyanza.com
Technical documentationdocs.pinecone.io/­docs/­overviewwww.warp10.io/­content/­02_Getting_started
DeveloperPinecone Systems, IncSenXYanza
Initial release201920152015
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
Windows
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateString, Number, Booleanyesno
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
Secondary indexesnono
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIHTTP API
Jupyter
WebSocket
HTTP API
Supported programming languagesPythonany language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoWarpScriptno
Triggersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlMandatory use of cryptographic tokens, containing fine-grained authorizationsno

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More resources
PineconeWarp 10Yanza
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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16 January 2024, Datanami

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