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Apache Hive

Apache Hive

Overview

What is Apache Hive?

Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.

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Pricing

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What is Apache Hive?

Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.

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  • No setup fee

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  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Apache Hive Hadoop Ecosystem - Big Data Analytics Tutorial by Mahesh Huddar

YouTube

Connecting Microsoft Power BI to Apache Hive using Simba Hive ODBC driver

YouTube

Discover HDP 2.1: Interactive SQL Query in Hadoop with Apache Hive

YouTube
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Product Details

Apache Hive Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.

Reviewers rate Usability highest, with a score of 8.5.

The most common users of Apache Hive are from Enterprises (1,001+ employees).
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Comparisons

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Reviews From Top Reviewers

(1-5 of 35)

This system makes active data of value.

Rating: 8 out of 10
April 09, 2022
CP
Vetted Review
Verified User
Apache Hive
2 years of experience
  • Please provide some detailed examples of things that Apache Hive does particularly well.
  • Migration to the cloud is modern and very secure.
Cons
  • The best way to do this is to schedule the extraction at times established by hours and quantities.
  • So that it can be used normally in daily use, it must be taken into account that the maintenance management of the system so that it works effectively.

Best query platform for ETL.

Rating: 6 out of 10
April 08, 2022
OM
Vetted Review
Verified User
Apache Hive
1 year of experience
  • Filtering data
  • cleaning data
  • SQL like interface
  • Integrates with Hadoop
Cons
  • Uses lot of lot of memory
  • Not compatible with other databases like postgres, MySql
  • Limited support
  • Slow as compare o other interfaces

It is an advance to the ease of the processes

Rating: 8 out of 10
April 08, 2022
PG
Vetted Review
Verified User
Apache Hive
2 years of experience
  • The unification of the data will help to establish the commercial criteria.
  • We are sure that the data is protected
Cons
  • If you try to extract an excessive amount of data, the system will become slow
  • You may have the danger that the system collapses due to the amount of data

Best Distributed Database in the market

Rating: 6 out of 10
April 19, 2022
PK
Vetted Review
Verified User
Apache Hive
2 years of experience
  • It is easy to store the data that are unstructured
  • Easy to retrieve using SQL queries instead of other complicated way
  • Large set of data can be stored efficiently
Cons
  • Apache Hive can provide more flexibility on the Integration.

Apache Hive

Rating: 9 out of 10
November 24, 2021
  • Apache Hive is fault-tolerant.
  • Apache Hive's latest version supports ACID transactions.
  • Apache Hive supports UPDATE, DELETE and MERGE.
Cons
  • Apache Hive should support ROLLBACK, COMMIT operations.
  • Apache Hive should support XML SerDe.
  • Apache Hive.
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