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Description

A SQL query engine that operates without a predefined schema, designed for use with Hadoop, NoSQL databases, and cloud storage solutions. This innovative engine allows for flexible data retrieval and analysis across various storage types, adapting seamlessly to diverse data structures.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Astro by Astronomer Yes 
Hue Yes 
Qlik Staige Yes 
SQL Yes 
Timbr.ai Yes 
jethro Yes 
Amundsen No 
Apache Doris No 
Apache Sentry No 
CelerData Cloud No 
Data Virtuality No 
IBM Cloud Mass Data Migration No 
Mage Dynamic Data Masking No 
Nightfall No 
Okera No 
Protegrity No 
StreamFlux No 
TIMi No 
Union Cloud No 

Integrations

Astro by Astronomer Yes 
Hue Yes 
Qlik Staige Yes 
SQL Yes 
Timbr.ai Yes 
jethro Yes 
Amundsen Yes 
Apache Doris Yes 
Apache Sentry Yes 
CelerData Cloud Yes 
Data Virtuality Yes 
IBM Cloud Mass Data Migration Yes 
Mage Dynamic Data Masking Yes 
Nightfall Yes 
Okera Yes 
Protegrity Yes 
StreamFlux Yes 
TIMi Yes 
Union Cloud Yes 

Pricing Details

Free, Open Source Software
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

drill.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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