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DBMS > Hive vs. Pinecone vs. Snowflake

System Properties Comparison Hive vs. Pinecone vs. Snowflake

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonPinecone  Xexclude from comparisonSnowflake  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA managed, cloud-native vector databaseCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitehive.apache.orgwww.pinecone.iowww.snowflake.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.pinecone.io/­docs/­overviewdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation infoinitially developed by FacebookPinecone Systems, IncSnowflake Computing Inc.
Initial release201220192014
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMhostedhosted
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.noyes
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
PythonJavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and rolesUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
HivePineconeSnowflake
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Recent citations in the news

Apache Software Foundation Announces ApacheĀ® Hive 4.0
30 April 2024, GlobeNewswire

ASF Unveils the Next Evolution of Big Data Processing With the Launch of Hive 4.0
2 May 2024, Datanami

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21 May 2024, TechCrunch

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21 May 2024, Datanami

How a Decades-Old Technology and a Paper From Meta Created an AI Industry Standard
21 May 2024, The Wall Street Journal

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22 May 2024, Channel E2E

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Generative AI Innovation in Snowflake-Informatica Partnership
23 May 2024, SiliconANGLE News

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23 May 2024, PR Newswire

Briefing: Snowflake Shares Fall 5% as Revenue Growth Slows Despite AI Push
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