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What is HIVE?

HIVE emerges as a top-tier content management system specifically designed for the Architecture, Engineering, and Construction (AEC) industry. It empowers companies to effectively organize, monitor, control permissions, and keep content current for all project participants, irrespective of their geographic location. Users can effortlessly find a range of file formats, such as Revit, AutoCAD, PDFs, images, and more, utilizing libraries, tags, favorites, and file metadata for streamlined searches. The platform includes an account management interface that allows company administrators to create and control access to the full suite of HIVE tools. Importantly, HIVE operates without the need for a Windows desktop, enabling user management to be conducted from any internet-connected device, which offers company admins the convenience of managing important tasks from nearly any location. This feature significantly reduces the inconvenience of being confined to a desk for basic user administration, a distinct advantage for those who are away from the office or require immediate access to tools while at a user’s desk. As a result, HIVE not only boosts productivity but also facilitates the smooth management and retrieval of critical resources whenever and wherever they are needed. Additionally, the platform's user-friendly design ensures that even those with minimal technical skills can navigate its features with ease, further promoting efficiency across teams.

What is Apache Hive?

Apache Hive serves as a data warehousing framework that empowers users to access, manipulate, and oversee large datasets spread across distributed systems using a SQL-like language. It facilitates the structuring of pre-existing data stored in various formats. Users have the option to interact with Hive through a command line interface or a JDBC driver. As a project under the auspices of the Apache Software Foundation, Apache Hive is continually supported by a group of dedicated volunteers. Originally integrated into the Apache® Hadoop® ecosystem, it has matured into a fully-fledged top-level project with its own identity. We encourage individuals to delve deeper into the project and contribute their expertise. To perform SQL operations on distributed datasets, conventional SQL queries must be run through the MapReduce Java API. However, Hive streamlines this task by providing a SQL abstraction, allowing users to execute queries in the form of HiveQL, thus eliminating the need for low-level Java API implementations. This results in a much more user-friendly and efficient experience for those accustomed to SQL, leading to greater productivity when dealing with vast amounts of data. Moreover, the adaptability of Hive makes it a valuable tool for a diverse range of data processing tasks.

Media

Media

Integrations Supported

Baidu Sugar
Bytebase
Causal
Chat2DB
Datalogz
Hackolade
IRI Data Protector Suite
Inferyx
Lyftrondata
MLlib
Mage Static Data Masking
Microsoft Power Query
Progress DataDirect
Protegrity
Rocket Data Replicate & Sync
Secoda
Sifflet
StarRocks
Syntho
Vaultspeed

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

CTC Software

Company Location

United States

Company Website

www.ctcsoftware.com/product/hive/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

Categories and Features

ETL

Not specified

Query Engines

Not specified

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