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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 IBM Cloud Pak for Data?

A significant challenge in enhancing AI-fueled decision-making is the insufficient use of available data. IBM Cloud Pak® for Data offers an integrated platform featuring a data fabric that facilitates easy connection and access to disparate data, regardless of whether it is stored on-premises or in multiple cloud settings, all without the need to move the data. It optimizes data accessibility by automatically detecting and categorizing data to deliver useful knowledge assets to users, while also enforcing automated policies to ensure secure data utilization. To accelerate insight generation, this platform includes a state-of-the-art cloud data warehouse that integrates seamlessly with current systems. Additionally, it enforces universal data privacy and usage policies across all data sets, ensuring ongoing compliance. By utilizing a high-performance cloud data warehouse, businesses can achieve insights more swiftly. The platform also provides data scientists, developers, and analysts with an all-encompassing interface to build, deploy, and manage dependable AI models across various cloud infrastructures. Furthermore, you can enhance your analytical capabilities with Netezza, which is a powerful data warehouse optimized for performance and efficiency. This holistic strategy not only expedites decision-making processes but also encourages innovation across diverse industries, ultimately leading to more effective solutions and improved outcomes.

Media

Media

Integrations Supported

Azure Marketplace
Hadoop
WebLOAD

Integrations Supported

Datamatics Trade Finance
IBM Control Desk
IBM Db2 Big SQL
IBM Db2 Event Store
IBM InfoSphere Information Governance Catalog
IBM Netezza Performance Server
IBM Storage Software Suite
IBM WebSphere Commerce

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$699 per month

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

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
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/cloud-pak-for-data

Categories and Features

Data Virtualization

Not specified

Categories and Features

AI Governance

Not specified

Big Data

Not specified

Data Fabric

Not specified

Data Integration

Not specified

Data Science

Not specified

Data Virtualization

Not specified

Machine Learning

Not specified

Predictive Analytics

Not specified

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