CAST Highlight vs. IBM Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CAST Highlight
Score 9.0 out of 10
Enterprise companies (1,001+ employees)
CAST headquartered in New York offers Highlight, an application portfolio management solution providing software component analysis , application security, application benchmarking, and technical due diligence.
$25,000
per year
IBM Cloud Pak for Data
Score 8.0 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
Pricing
CAST HighlightIBM Cloud Pak for Data
Editions & Modules
Cloud
25k
Portfolio Size 25
SCA
$26k
Portfolio Size 25
Complete
33k
Portfolio Size 25
No answers on this topic
Offerings
Pricing Offerings
CAST HighlightIBM Cloud Pak for Data
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsAnnual Pricing by Size of Application Portfolio
More Pricing Information
Community Pulse
CAST HighlightIBM Cloud Pak for Data
Best Alternatives
CAST HighlightIBM Cloud Pak for Data
Small Businesses

No answers on this topic

Egnyte
Egnyte
Score 9.3 out of 10
Medium-sized Companies
Veracode
Veracode
Score 8.7 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Veracode
Veracode
Score 8.7 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
CAST HighlightIBM Cloud Pak for Data
Likelihood to Recommend
10.0
(1 ratings)
8.9
(9 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(2 ratings)
Support Rating
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
CAST HighlightIBM Cloud Pak for Data
Likelihood to Recommend
CAST
I think CAST is a great tool to give insight into your applications. The tool can be met with resistance from team members as the tool is going to expose defects that should be addressed. Out of the box, it may need some tailoring to focus on certain areas so that you are not overwhelmed with defects the first time you scan your code. But ultimately, you will want to eliminate all defects in the code and have all violations turned on.
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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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Pros
CAST
  • Identifies common coding vulnerabilities.
  • Compares code to industry best practices.
  • Assesses the code for data privacy compliance.
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IBM
  • Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
  • Visualization and reporting.
  • Rapidly provides business -ready data to all users equally.
  • Manage data spread across distributed stores and clouds.
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Cons
CAST
  • Code scans could be faster. A large application may need to be broken down into smaller sub-applications in order to facilitate faster code scans.
  • We spent a lot of time trying to figure out how to best structure our code base in the application for ultimate performance.
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IBM
  • Cannot save changes to some secrets in the internal vault
  • Sign-in issues on environments where IAM is enabled
  • The Enforce quotas option is disabled
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Support Rating
CAST
Tech support and pro services are top-notch.
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IBM
No answers on this topic
Alternatives Considered
CAST
These other tools only do a part of what CAST does. CAST gives a comprehensive view into the code looking at all aspects, code quality, security, maintainability, vulnerability, privacy, reuse, etc. These other tools only focus on one or two dimensions.
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IBM
IBM Cloud Pak for Data takes the IBM Cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.
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Return on Investment
CAST
  • I believe once we had the tool working for our code base, we immediately saw positive ROI.
  • We spent some time getting to where our code code be scanned efficiently but some of that was trying to do things ourselves instead of fully utilizing Cast Professional Services. I highly recommend to do an engagement with CAST to have them help setup the tool in your environment or to run it in the cloud for you.
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IBM
  • We have the ability to access all our data much quicker through the unified search option.
  • 30% increase in productivity through the introduction of AI.
  • Improved data security and governance.
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ScreenShots

CAST Highlight Screenshots

Screenshot of Application Portfolio ManagementScreenshot of Software Composition AnalysisScreenshot of Portfolio Advisor for Open SourceScreenshot of Portfolio Advisor for CloudScreenshot of Cloud Migration Blockers and Boosters