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JBoss Data Virtualization

JBoss Data Virtualization

Overview

What is JBoss Data Virtualization?

JBoss Data Virtualization is a data integration solution that sits in front of multiple data sources and allows them to be treated as a single source, to deliver the right data, in the required form, at the right time to…

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Recent Reviews
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Pricing

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JBoss Data Virtualization

JBoss Data Virtualization

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What is JBoss Data Virtualization?

JBoss Data Virtualization is a data integration solution that sits in front of multiple data sources and allows them to be treated as a single source, to deliver the right data, in the required form, at the right time to any application and/or user. Also presented as a lean, virtual data…

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  • No setup fee

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  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Red Hat JBoss BPM & FSW & DV Integration Demo

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Product Details

What is JBoss Data Virtualization?

JBoss Data Virtualization is a data integration solution that sits in front of multiple data sources and allows them to be treated as a single source, to deliver the right data, in the required form, at the right time to any application and/or user. Also presented as a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. Red Hat JBoss Data Virtualization makes data spread across physically diverse systems—such as multiple databases, XML files, and Hadoop systems—appear as a set of tables in a local database.

JBoss Data Virtualization Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(6)

Attribute Ratings

Reviews

(1-2 of 2)
Companies can't remove reviews or game the system. Here's why
February 12, 2020

My take on Red Hat JBoss Enterprise Data Services Platform

Verified User
Professional in Information Technology
Information Technology and Services Company, 10,001+ employees
Score 6 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We are using Red Hat JBoss Data Services in the application server. It is being used by Java developers across the landscape of the company.
Pros and Cons
  • Good scalablility
  • Easy to install
  • Pricing
  • User Interface
Likelihood to Recommend
Red Hat JBoss Enterprise Data Services is a top choice for JEE applications. Even though lots of documentation is available, it's difficult in terms of usability. If the development is more based on Java applications it is a good choice. It provides better installation and integrations.
Return on Investment
  • Flexibility
  • Cost is not effective
Alternatives Considered
Market value and support extended by Redhat is the winner against Veritas. It has cool features and functionality but still, if your organization is Redhat shop it's better to go for the Jboss option.
Support Rating
8
Support availability and resolution response time make it a better choice.
December 08, 2018

Uncoupling applications from data sources with JDV

Verified User
Administrator in Information Technology
Investment Management Company, 201-500 employees
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We are using JDV to abstract the underlying data sources away from our applications. Currently the primary use is to allow us some flexibility while we retire an Informix based system.
Pros and Cons
  • Data source compatibility: since it is Java, it can connect to anything with a JDBC driver.
  • Flexibility: you can configure it however you want, we have it configured to use LDAPS for authentication and have all interfaces encrypted, and setting that up was pretty straight forward.
  • Documentation: hard to navigate, or missing entirely.
  • Integration with Windows: ODBC drivers are not great, don't support SSL.
  • Logging: troubleshooting issues is not straight forward, often requires logging changes.
Likelihood to Recommend
I think it would work well in a Java/Linux environment. It is not as suited to Windows/.Net.
Return on Investment
  • It has allowed us to start moving applications independent from their underlying data sources, savings us time and limiting cutover effort.
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