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DBMS > Hive vs. Microsoft Azure SQL Data Warehouse

System Properties Comparison Hive vs. Microsoft Azure SQL Data Warehouse

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Our visitors often compare Hive and Microsoft Azure SQL Data Warehouse with Google BigQuery, Snowflake and Amazon Redshift.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.22
Rank#14  Overall
#9  Relational DBMS
Score9.43
Rank#42  Overall
#26  Relational DBMS
Websitehive.apache.orgazure.microsoft.com/­services/­sql-data-warehouse
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­sql-data-warehouse
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20122016
Current release3.1.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQL
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioning
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 MapReduceno
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 datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesyes

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More resources
HiveMicrosoft Azure SQL Data Warehouse
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
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