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What is SquidHub?

Migrating your projects to Hive can be an effortless process. Start by setting up your free account, and our product specialists will provide guidance, ensuring your team progresses smoothly and without interruptions. Experience simple workflows crafted for complex tasks. Manage all your projects from a single integrated platform designed for teams of various sizes. Keep a close eye on tasks and their associated subtasks. Assign future actions and establish deadlines to uphold responsibility. Tailor your project and task views to suit your unique style. Obtain a clear perspective on multiple tasks and projects with an organized overview. Quickly gather information using Forms, with all data securely stored within Hive. Access all your assigned tasks with ease and check their due dates in no time. Wishing to focus on your assignments without disturbances? Engage Focus Mode for a distraction-free environment. Discover how your team spends its time effectively. Seamlessly oversee teams, whether they are on-site, remote, or operating in a hybrid setup. With just a few clicks, visualize and understand your team's workload, boosting overall productivity and teamwork. Dive into the capabilities of Hive and revolutionize your team's collaboration and success. By integrating these features, you can ensure your projects are managed efficiently and effectively, leading to remarkable outcomes.

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

Adobe Real-Time CDP
Airtool
Apache Hudi
Apache Impala
Apache Zeppelin
BigBI
DataClarity Unlimited Analytics
Datalogz
Datameer
DigDash
DreamFactory
Google Drive
OpenText Structured Data Manager
Secoda
SecuPi
Timbr.ai
e6data
jethro
lakeFS

Integrations Supported

Adobe Real-Time CDP
Airtool
Apache Hudi
Apache Impala
Apache Zeppelin
BigBI
DataClarity Unlimited Analytics
Datalogz
Datameer
DigDash
DreamFactory
Google Drive
OpenText Structured Data Manager
Secoda
SecuPi
Timbr.ai
e6data
jethro
lakeFS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hive

Date Founded

2015

Company Location

Denmark

Company Website

hive.com/squidhub/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

Collaboration

Brainstorming
Calendar Management
Chat / Messaging
Contact Management
Content Management
Document Management
Project Management
Real Time Editing
Task Management
Version Control
Video Conferencing

Categories and Features

ETL

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

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