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What is Payment Fusion Control Center?

In September 2017, Payment Fusion achieved recognition as a validated point-to-point encryption solution (vP2PE). The company's innovative network architecture, coupled with specialized software designed for Ingenico payment terminals, allows for secure transaction processing through vP2PE. As a PCI P2PE solution, Payment Fusion guarantees advanced security for payment card transactions at the point of care, following best practices that safeguard key management integrity while reducing the risk of device tampering throughout the supply chain. Moreover, Payment Fusion's Control Center empowers large organizations to efficiently oversee their vP2PE needs by monitoring all deployed payment terminals. To bolster security further, AxiaMed offers a secure payment vault that provides partners and clients with a dependable database for storing payment information, often known as "card-on-file." This comprehensive strategy highlights Payment Fusion's dedication to upholding rigorous security standards in payment processing and ensuring that clients can trust their transaction methods without apprehension. Ultimately, this focus on security not only protects sensitive information but also builds confidence among users in the payment ecosystem.

What is Google Cloud Data Fusion?

Open core technology enables the seamless integration of hybrid and multi-cloud ecosystems. Based on the open-source project CDAP, Data Fusion ensures that users can easily transport their data pipelines wherever needed. The broad compatibility of CDAP with both on-premises solutions and public cloud platforms allows users of Cloud Data Fusion to break down data silos and tap into valuable insights that were previously inaccessible. Furthermore, its effortless compatibility with Google’s premier big data tools significantly enhances user satisfaction. By utilizing Google Cloud, Data Fusion not only bolsters data security but also guarantees that data is instantly available for comprehensive analysis. Whether you are building a data lake with Cloud Storage and Dataproc, loading data into BigQuery for extensive warehousing, or preparing data for a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion enable fast and effective development while supporting rapid iterations. This all-encompassing strategy ultimately empowers organizations to unlock greater potential from their data resources, fostering innovation and informed decision-making. In an increasingly data-driven world, leveraging such technologies is crucial for maintaining a competitive edge.

Media

Media

Integrations Supported

Dropbox Dash
Google Cloud BigQuery
Google Cloud Datastream
Google Cloud Platform
IntelliPay
Pantomath
PonoRez

Integrations Supported

Dropbox Dash
Google Cloud BigQuery
Google Cloud Datastream
Google Cloud Platform
IntelliPay
Pantomath
PonoRez

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

AxiaMed

Date Founded

2013

Company Location

United States

Company Website

www.axiamed.com/security/

Company Facts

Organization Name

Google

Company Location

United States

Company Website

cloud.google.com/data-fusion

Categories and Features

Asset Tracking

Activity Tracking
Audit Trails
Barcoding / RFID
Checkout / Check-In
Depreciation Tracking
Disposal Tracking
Inventory Management
Location Tracking
QR Codes
Reservations
Service History

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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