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Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Hive Marketing Cloud?

Hive Marketing Cloud: A Hub for Customer Engagement and Insights Founded in 2010, Hive Marketing Cloud operates as a private entity, concentrating on the Travel, Insurance, and Retail industries. This innovative platform allows brands to efficiently connect with and convert their target audiences on a grand scale by implementing highly tailored and sophisticated multi-channel marketing strategies from a cohesive system, utilizing all available data to improve customer interactions. Through Hive, users are able to extract significant data insights, evaluate customer lifetime value, create segments based on recency, frequency, and monetary value (RFM), automate customer journeys, and analyze engagement and outcomes, offering insights that go beyond simple clicks and opens. Moreover, Hive's extensive suite of tools empowers businesses to build stronger relationships with their customers through informed decision-making, ultimately driving greater marketing efficiency and increasing customer satisfaction. By harnessing the power of data, companies can continuously refine their strategies to meet evolving customer needs.

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.

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Integrations Supported

Xero

Integrations Supported

3forge
Apache Kylin
Apache Phoenix
Aqua Data Studio
Baidu Sugar
BigBI
ClicData
Cloudera Data Platform
Cloudera Data Warehouse
Dataiku
Datameer
DbVisualizer
Hackolade
Lyftrondata
Mage Dynamic Data Masking
Mode
Nucleon Database Master
WEBDEV
lakeFS

API Availability

API Availability

Pricing Information

£1,750/month

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
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Hive Marketing Cloud

Date Founded

2010

Company Location

United Kingdom

Company Website

hivemarketingcloud.com

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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