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DBMS > Apache Pinot vs. Pinecone vs. Trafodion

System Properties Comparison Apache Pinot vs. Pinecone vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonPinecone  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA managed, cloud-native vector databaseTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitepinot.apache.orgwww.pinecone.iotrafodion.apache.org
Technical documentationdocs.pinot.apache.orgdocs.pinecone.io/­docs/­overviewtrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation and contributorsPinecone Systems, IncApache Software Foundation, originally developed by HP
Initial release201520192014
Current release1.0.0, September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes
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 languagenoyes
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
PythonAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored Procedures
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
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 persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Apache PinotPineconeTrafodion
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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