IBM Cloud Pak for Data vs. Red Hat JBoss Data Virtualization

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloud Pak for Data
Score 9.1 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
JBoss Data Virtualization
Score 6.0 out of 10
N/A
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…N/A
Pricing
IBM Cloud Pak for DataRed Hat JBoss Data Virtualization
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cloud Pak for DataJBoss Data Virtualization
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Cloud Pak for DataRed Hat JBoss Data Virtualization
Top Pros
Top Cons
Best Alternatives
IBM Cloud Pak for DataRed Hat JBoss Data Virtualization
Small Businesses
Egnyte
Egnyte
Score 8.2 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
SAP HANA Cloud
SAP HANA Cloud
Score 8.7 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Delphix
Delphix
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Cloud Pak for DataRed Hat JBoss Data Virtualization
Likelihood to Recommend
9.4
(13 ratings)
6.0
(2 ratings)
Likelihood to Renew
9.1
(2 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
IBM Cloud Pak for DataRed Hat JBoss Data Virtualization
Likelihood to Recommend
IBM
IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.
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Red Hat
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.
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Pros
IBM
  • I really like the AI and ML which enables us to source data in different sources for easy data-driven decisions.
  • It's a cloud tool that keeps all our data safe, backed up ahs obtainable at any time without being exposed to any kind of risks or loss.
  • I like the fact that ICP is main based on open source stack which adds value to products like VA or MCM.
  • IBM support service is great and top-class.
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Red Hat
  • 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.
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Cons
IBM
  • This offering is currently available on prem, in Azure, and soon in AWS. GCP availability will be in the future as there is demand in the marketplace
  • The on premise offering starts with a Base + 0 model, which is a significant appliance. There are no 'mini' offerings as there were in the past.
  • At Destiny, we work closely with IBM to help our clients perform budgetary planning.
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Red Hat
  • Pricing
  • User Interface
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Support Rating
IBM
No answers on this topic
Red Hat
Support availability and resolution response time make it a better choice.
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Alternatives Considered
IBM
Generally this tool has been very helpful and innovative because increase our workflow and collaboration using integrated multi-cloud platform. It also enables us to deploy in any flexible way like on-premises or cloud which saves time and hard disk space. It also enables us to connect, catalog, govern, transform and analyze data regardless of the area.
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Red Hat
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.
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Return on Investment
IBM
  • IBM Cloud helps us to manage data speed across every distributed stores and clouds.
  • Acts as a single unified tool which brings all our data in one place where it's safe and easy to access.
  • Enables all of our data users to collaborate from a single, unified interface that supports many services that are designed to work seamless.
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Red Hat
  • 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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