Audience

Developers and anyone looking for a data warehouse software that facilitates reading, writing, and managing large datasets using SQL

About Apache Hive

The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API.

Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Company Information

Apache Software Foundation
Founded: 1999
United States
hive.apache.org

Videos and Screen Captures

Apache Hive Screenshot 1
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Product Details

Platforms Supported
SaaS
Training
Documentation
In Person
Support
Online

Apache Hive Frequently Asked Questions

Q: What kinds of users and organization types does Apache Hive work with?
Q: What languages does Apache Hive support in their product?
Q: What kind of support options does Apache Hive offer?
Q: What other applications or services does Apache Hive integrate with?
Q: What type of training does Apache Hive provide?

Apache Hive Product Features

ETL

Data Analysis
Match & Merge
Data Filtering
Data Quality Control
Metadata Management
Version Control
Non-Relational Transformations
Job Scheduling

Apache Hive Reviews

Write a Review
  • An Apache Hive User
    Software Developer
    Used the software for: 1-2 Years
    Frequency of Use: Monthly
    User Role: User
    Company Size: 100 - 499
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Great ETL Solution"

    Posted 2020-07-09

    Pros: Open Source
    Easy to learn - similar to SQL
    Fast performance
    Various data structures supported
    Scalable to meet growing demands
    Integrates with various tools & databases

    Cons: Needs more SQL functionalities like subqueries & better optimization for advanced query like joins.

    Overall: Apache Hive is a good solution to query and analyze large amount of data. Its ease of use and good performance in handling large amount of data makes it an excellent ETL Solution.

    Read More...
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