IBM InfoSphere Information Server vs. Red Hat JBoss Data Virtualization

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM InfoSphere Information Server
Score 8.1 out of 10
N/A
IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.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 InfoSphere Information ServerRed Hat JBoss Data Virtualization
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere Information ServerJBoss 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 InfoSphere Information ServerRed Hat JBoss Data Virtualization
Top Pros
Top Cons
Features
IBM InfoSphere Information ServerRed Hat JBoss Data Virtualization
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM InfoSphere Information Server
10.0
5 Ratings
20% above category average
Red Hat JBoss Data Virtualization
-
Ratings
Connect to traditional data sources10.05 Ratings00 Ratings
Connecto to Big Data and NoSQL10.05 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM InfoSphere Information Server
10.0
5 Ratings
18% above category average
Red Hat JBoss Data Virtualization
-
Ratings
Simple transformations10.05 Ratings00 Ratings
Complex transformations10.05 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM InfoSphere Information Server
9.7
5 Ratings
18% above category average
Red Hat JBoss Data Virtualization
-
Ratings
Data model creation10.03 Ratings00 Ratings
Metadata management10.05 Ratings00 Ratings
Business rules and workflow10.05 Ratings00 Ratings
Collaboration10.05 Ratings00 Ratings
Testing and debugging9.05 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM InfoSphere Information Server
9.5
5 Ratings
15% above category average
Red Hat JBoss Data Virtualization
-
Ratings
Integration with data quality tools10.05 Ratings00 Ratings
Integration with MDM tools9.04 Ratings00 Ratings
Best Alternatives
IBM InfoSphere Information ServerRed Hat JBoss Data Virtualization
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10

No answers on this topic

Medium-sized Companies
dbt
dbt
Score 9.4 out of 10
SAP HANA Cloud
SAP HANA Cloud
Score 8.5 out of 10
Enterprises
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
Delphix
Delphix
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM InfoSphere Information ServerRed Hat JBoss Data Virtualization
Likelihood to Recommend
10.0
(6 ratings)
6.0
(2 ratings)
Likelihood to Renew
8.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
IBM InfoSphere Information ServerRed Hat JBoss Data Virtualization
Likelihood to Recommend
IBM
It's super terrific with workflow automation. Terrific with data backup and convenient with encryption of data. Reliable with asset management Great to discover virtual servers
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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
  • Any source to any target support.
  • ETL flexibility without coding.
  • Extreme data volume processing.
  • Native integration with other Data integration functionalities such as data profiling, data cleansing, metadata management.
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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.
Read full review
Cons
IBM
  • I would be nice to have a new web development environment for DataStage.
  • Connectivity Packs such as Pack for SAP Application are a little pricey.
  • It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.
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Red Hat
  • Pricing
  • User Interface
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Likelihood to Renew
IBM
  • Scale of implementation
  • IBM techsupport
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Red Hat
No answers on this topic
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
DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS
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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
  • If you don't use all of the product family, it will be expensive. But if you want to plan use all the products and you will position it in the center of your infrastructure ROI will be effective.
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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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ScreenShots