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What is eHive?

eHive is a cutting-edge online cataloging platform utilized around the world by a variety of museums, organizations, and private collectors to manage their collections. This system allows users to catalog their items, upload images, keep track of acquisition details, and display their collections on the web. It is accessible via any device with a web browser, including desktops, laptops, and smartphones, ensuring that all collection information remains secure and easily accessible, as we take care of all data hosting and backup needs. In addition, we handle all system updates, providing users with instant access to the latest features offered by eHive. As a cloud-based and cost-effective solution, eHive streamlines the process of sharing your collection online, allowing you to concentrate on your items while we take care of the technical details. Moreover, eHive facilitates easy data sharing with prominent aggregation platforms such as Trove in Australia and Digital NZ, all while maintaining your branding and offering the flexibility similar to that of the WordPress content management system. With eHive, you are empowered to manage and promote your collection effortlessly and effectively, making it an invaluable tool for collectors of all types. Ultimately, eHive enhances not just the management of collections but also the experience of sharing them with a wider audience.

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

Alteryx
Amundsen
Apache Avro
Apache Iceberg
Astro by Astronomer
Cloudera Data Warehouse
DBeaver
DreamFactory
Foundational
IBM API Connect
Jotform
Lyftrondata
Okera
OpenText Structured Data Manager
Progress DataDirect
SQLyog
Syntho
Union Cloud
Varada
eQube®-DaaS

Integrations Supported

Alteryx
Amundsen
Apache Avro
Apache Iceberg
Astro by Astronomer
Cloudera Data Warehouse
DBeaver
DreamFactory
Foundational
IBM API Connect
Jotform
Lyftrondata
Okera
OpenText Structured Data Manager
Progress DataDirect
SQLyog
Syntho
Union Cloud
Varada
eQube®-DaaS

API Availability

Has API

API Availability

Has API

Pricing Information

$99 per year
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

Vernon Systems

Date Founded

1985

Company Location

New Zealand

Company Website

vernonsystems.com/products/ehive/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

Museum

Collections Management
Event Management
Exhibit Management
Gift Shop POS
Grant Management
Insurance Management
Membership Management
Ticketing

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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