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Average Ratings 0 Ratings

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Description

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

Description

eHive serves as an online cataloging platform designed for collections, utilized globally by numerous museums, organizations, and individual collectors. This innovative system enables users to catalog items, store images, oversee acquisition details, and showcase their collections on the internet. Accessible from any device equipped with a web browser, including desktops, laptops, and smartphones, eHive ensures that your collection's information is both secure and easily retrievable, as we handle all data hosting and backups. Additionally, we manage all system updates, guaranteeing that you have immediate access to the latest features of eHive. As a cloud-based and budget-friendly solution, eHive simplifies the process of sharing your collection online. Allow us to manage the technical aspects so you can focus on your collection. Furthermore, eHive offers straightforward methods to share data with major aggregation platforms such as Trove in Australia and Digital NZ, while ensuring that your branding is preserved and that you can present your collection with the same flexibility provided by the WordPress content management system. Ultimately, eHive empowers you to effectively manage and promote your collection with ease.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

3forge Yes 
Airtool Yes 
Apache Avro Yes 
Apache Zeppelin Yes 
Aqua Data Studio Yes 
BigBI Yes 
Causal Yes 
Data Sentinel Yes 
Datalogz Yes 
Ema Yes 
Inferyx Yes 
Jotform Yes 
LT Browser Yes 
Lyftrondata Yes 
Mage Dynamic Data Masking Yes 
Oracle Machine Learning Yes 
SAS Studio Yes 
Syntho Yes 
Varada Yes 

Integrations

3forge No 
Airtool No 
Apache Avro No 
Apache Zeppelin No 
Aqua Data Studio No 
BigBI No 
Causal No 
Data Sentinel No 
Datalogz No 
Ema No 
Inferyx No 
Jotform No 
LT Browser No 
Lyftrondata No 
Mage Dynamic Data Masking No 
Oracle Machine Learning No 
SAS Studio No 
Syntho No 
Varada No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$99 per year
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Vendor Details

Company Name

Vernon Systems

Founded

1985

Country

New Zealand

Website

vernonsystems.com/products/ehive/

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Features

Museum

Collections Management Yes 
Event Management No 
Exhibit Management No 
Gift Shop POS No 
Grant Management No 
Insurance Management No 
Membership Management No 
Ticketing No 

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