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What is Hively?

Transform every email into an opportunity for feedback by adding 'Smileys' to your team's email signatures or by asking for feedback as needed. Hively's smileys offer a playful and inviting method for customers to express their opinions with just a click. By embedding the Hively snippet in your email signature or sending targeted feedback requests via Hively, you can easily and economically collect valuable insights. Whether you're using Outlook, Gmail, Yahoo, or systems like Zendesk, Desk, Helpscout, and Salesforce, Hively integrates effortlessly with any email client, CRM, or ticketing platform you utilize. Recognizing that measurement is key to valuing feedback, Hively provides essential tools to help you interpret customer insights, illuminating their needs and your team's performance. The Leaderboard feature helps you quickly pinpoint your top-performing team members, while benchmarks offer a view into overall success, and the advanced reporting tool allows for deep dives into specific data. Furthermore, email summaries and notifications keep you updated on all feedback received, fostering continuous improvement in your strategies. By implementing Hively, you cultivate a culture of transparent communication and ongoing development throughout your organization, ensuring that everyone is engaged and aware of the feedback loop. This approach not only enhances team dynamics but also drives better customer satisfaction and loyalty.

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

Amazon EMR
Apache Doris
Apache Iceberg
Apache Phoenix
Apache Spark
Aqua Data Studio
Chat2DB
Data Sentinel
Dataiku
Datalogz
IBM App Connect
Immuta
Mage Static Data Masking
Nucleon Database Master
Okera
Protegrity
Rational BI
TIMi
Timbr.ai

API Availability

API Availability

Pricing Information

$15 per month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Hively

Company Location

United States

Company Website

teamhively.com

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

Customer Satisfaction

Complaint Monitoring
Feedback Collection
Survey Management

Employee Feedback

Not specified

Employee Recognition

Leaderboards / Activity Tracking
Manager-to-Peer Recognition
Mention Management
Peer-to-Peer Recognition
Rewards Catalog
Rewards Points
Social Recognition

Categories and Features

ETL

Not specified

Query Engines

Not specified

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