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What is Red Hat JBoss Data Virtualization?

Red Hat JBoss Data Virtualization is a powerful tool for virtual data integration, allowing users to unlock and present otherwise inaccessible data in a cohesive and accessible format that can be easily utilized. This solution aggregates data from diverse sources, such as various databases, XML files, and Hadoop systems, presenting them as a unified set of tables within a local database environment. It enables real-time, standards-compliant read and write access to a range of heterogeneous data repositories, enhancing efficiency. By simplifying the process of accessing distributed data, it significantly speeds up both application development and integration efforts. Users are empowered to customize and harmonize data semantics to fit the unique needs of different data consumers. Additionally, the system provides centralized management for access control along with comprehensive auditing capabilities through its robust security framework. Consequently, fragmented data can be swiftly converted into actionable insights, addressing the evolving demands of modern businesses. Furthermore, Red Hat ensures ongoing support and maintenance for its JBoss products throughout designated periods, allowing users to benefit from the latest updates and assistance, thereby enhancing overall operational effectiveness. This commitment to user support reinforces the reliability of the solution in a rapidly changing data landscape.

What is Fraxses?

A wide array of products exists to support businesses in achieving their objectives, but for organizations aiming to cultivate a data-driven culture while optimizing efficiency and reducing expenses, Fraxses stands out as the premier distributed data platform globally. With Fraxses, clients gain instant access to data, unlocking valuable insights through a solution that can implement either a data mesh or a data fabric architecture. Visualize a data mesh as a framework that interconnects diverse data sources, enabling them to function seamlessly as one integrated entity. Unlike other platforms that primarily focus on data integration and virtualization, Fraxses offers a decentralized architecture that distinguishes it from competitors. While Fraxses effectively supports traditional data integration techniques, the trend is shifting toward an innovative model where data is delivered directly to users, thereby negating the need for a centralized data lake or platform. This forward-thinking approach not only empowers users with greater autonomy but also enhances the ease of data access throughout the organization, fostering a more agile and responsive data environment. As businesses continue to evolve, embracing such innovative solutions becomes crucial for maintaining a competitive edge in the market.

Media

Media

Integrations Supported

Azure Marketplace
Hadoop
Microsoft Excel
WebLOAD

Integrations Supported

Azure Marketplace
Hadoop
Microsoft Excel
WebLOAD

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

Red Hat

Date Founded

1993

Company Location

United States

Company Website

access.redhat.com/products/red-hat-jboss-data-virtualization

Company Facts

Organization Name

Intenda

Date Founded

2001

Company Location

South Africa

Company Website

intenda.tech/fraxses/

Categories and Features

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

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