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DBMS > Pinecone vs. TimesTen vs. ToroDB

System Properties Comparison Pinecone vs. TimesTen vs. ToroDB

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonTimesTen  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA managed, cloud-native vector databaseAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelVector DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.pinecone.iowww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­torodb/­server
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperPinecone Systems, IncOracle infooriginally founded in HP Labs it was acquired by Oracle in 20058Kdata
Initial release201919982016
Current releaseRelease 22.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
All OS with a Java 7 VM
Data schemeyesschema-free
Typing infopredefined data types such as float or dateString, Number, Booleanyesyes infostring, integer, double, boolean, date, object_id
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 indexesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP APIODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesPythonC
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresPL/SQL
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno
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 means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
PineconeTimesTenToroDB
DB-Engines blog posts

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Pinecone serverless goes multicloud as vector database market heats up
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