Apache Hive Description

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

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Integrations

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Reviews - 1 Verified Review

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Company Details

Company:
Apache Software Foundation
Year Founded:
1999
Headquarters:
United States
Website:
hive.apache.org

Media

Apache Hive Screenshot 1
Apache Hive Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
In Person
Customer Support
Online Support

Apache Hive Features and Options

ETL Software

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

Apache Hive User Reviews

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  • Name: Anonymous (Verified)
    Job Title: Software Developer
    Length of product use: 1-2 Years
    Used How Often?: Monthly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Great ETL Solution

    Date: Jul 09 2020

    Summary: 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.

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

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

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