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DBMS > Hive vs. OpenMLDB vs. Pinecone

System Properties Comparison Hive vs. OpenMLDB vs. Pinecone

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPinecone  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open-source machine learning database that provides a feature platform for training and inferenceA managed, cloud-native vector database
Primary database modelRelational DBMSTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitehive.apache.orgopenmldb.aiwww.pinecone.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeopenmldb.ai/­docs/­zh/­maindocs.pinecone.io/­docs/­overview
DeveloperApache Software Foundation infoinitially developed by Facebook4 Paradigm Inc.Pinecone Systems, Inc
Initial release201220202019
Current release3.1.3, April 20222024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, Scala
Server operating systemsAll OS with a Java VMLinuxhosted
Data schemeyesFixed schema
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
SQLAlchemy
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C++
Go
Java
Python
Scala
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
HiveOpenMLDBPinecone
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