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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 AWS Glue?

AWS Glue is a fully managed, serverless solution tailored for data integration, facilitating the easy discovery, preparation, and merging of data for a variety of applications, including analytics, machine learning, and software development. The service incorporates all essential functionalities for effective data integration, allowing users to conduct data analysis and utilize insights in a matter of minutes, significantly reducing the timeline from months to mere moments. The data integration workflow comprises several stages, such as identifying and extracting data from multiple sources, followed by the processes of enhancing, cleaning, normalizing, and merging the data before it is systematically organized in databases, data warehouses, and data lakes. Various users, each with their specific tools, typically oversee these distinct responsibilities, ensuring a comprehensive approach to data management. By operating within a serverless framework, AWS Glue removes the burden of infrastructure management from its users, as it automatically provisions, configures, and scales the necessary resources for executing data integration tasks. This feature allows organizations to concentrate on gleaning insights from their data instead of grappling with operational challenges. In addition to streamlining data workflows, AWS Glue also fosters collaboration and productivity among teams, enabling businesses to respond swiftly to changing data needs. The overall efficiency gained through this service positions companies to thrive in today’s data-driven environment.

Media

Media

Integrations Supported

AWS App Mesh
AWS Step Functions
Alex Solutions
Amazon DataZone
Amazon Redshift
Amazon S3
Amazon SageMaker Studio
Amazon Security Lake
Amundsen
Azure Marketplace
Causal
DataBuck
Hadoop
Pendula
Progress DataDirect
Stonebranch
Tokern
TrustLogix
WebLOAD

Integrations Supported

AWS App Mesh
AWS Step Functions
Alex Solutions
Amazon DataZone
Amazon Redshift
Amazon S3
Amazon SageMaker Studio
Amazon Security Lake
Amundsen
Azure Marketplace
Causal
DataBuck
Hadoop
Pendula
Progress DataDirect
Stonebranch
Tokern
TrustLogix
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/glue

Categories and Features

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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