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What is Impala?

Effortlessly connect your product to hotel information in mere minutes by securely accessing and updating various hotel systems through a comprehensive and well-documented JSON API. The ability to link your application to our Test Hotel almost immediately allows you to begin integrating with actual hotels in a matter of days instead of weeks. By utilizing a single, user-friendly universal REST API, Impala interfaces with a multitude of hotel systems, guaranteeing a streamlined connection for your needs. Our platform is built with bank-level security, fully compliant with GDPR regulations, and is hosted in multiple geographic locations to ensure greater reliability. Impala is positioned to be the premier integration solution for property management systems, freeing you from the hassle of managing numerous connections. As we consistently broaden our network of hotel systems, your business can tap into a more diverse selection of hotels every month. Understanding the significance of comprehensive data in contemporary hotel technology, Impala provides seamless two-way data exchange, enabling you to access guest details, process new transactions, or receive updates on rate changes effortlessly. With Impala, you can rest easy knowing that all your hotel data requirements are met with efficiency and security, allowing you to focus more on growing your business. This ensures that you stay ahead in a competitive market by leveraging the latest in technology and data management.

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

Apache Iceberg
Hue
Lyftrondata
Mage Dynamic Data Masking
Mage Static Data Masking
Mode
Omniscope Evo
Oracle Machine Learning
QueryPie
RATH
SAS Federation Server
StarfishETL
Acryl Data
Apache Doris
Apache Impala
Chat2DB
IRI CoSort
OpenText Structured Data Manager
Privacera
Yandex Data Proc

Integrations Supported

Apache Iceberg
Hue
Lyftrondata
Mage Dynamic Data Masking
Mage Static Data Masking
Mode
Omniscope Evo
Oracle Machine Learning
QueryPie
RATH
SAS Federation Server
StarfishETL
Acryl Data
Apache Doris
Apache Impala
Chat2DB
IRI CoSort
OpenText Structured Data Manager
Privacera
Yandex Data Proc

API Availability

Has API

API Availability

Has API

Pricing Information

€17 per month
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

Command Line Software

Date Founded

2016

Company Location

United Kingdom

Company Website

getimpala.com

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Hospitality Property Management

Built-in Accounting
CRM
Catering
Employee Management
Extended Stay
Front Office Management
GDS / OTA Integration
Group Management
Guest Experience (GEM)
Housekeeping Management
Loyalty Program
Maintenance Management
Marketing Automation
Marketing Management
Multi-Property
Online Booking
Point of Sale (POS)
Reservations Management
Reviews Management
Single Property
Vacation Rental

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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