DvSum vs. IBM Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DvSum
Score 0.0 out of 10
N/A
DvSum is a AI-powered Data Intelligence platform that aims to make it easier for data and analytics teams to discover, monitor, and govern data. With AI-enabled algorithms, DvSum automatically catalogues, classifies, and curates data and makes it available as an actionable Data Catalog.
$12,000
per year per installation
IBM Cloud Pak for Data
Score 8.1 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
Pricing
DvSumIBM Cloud Pak for Data
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DvSumIBM Cloud Pak for Data
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DvSumIBM Cloud Pak for Data
Best Alternatives
DvSumIBM Cloud Pak for Data
Small Businesses
Egnyte
Egnyte
Score 9.4 out of 10
Egnyte
Egnyte
Score 9.4 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 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
DvSumIBM Cloud Pak for Data
Likelihood to Recommend
-
(0 ratings)
8.9
(9 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(2 ratings)
User Testimonials
DvSumIBM Cloud Pak for Data
Likelihood to Recommend
DVSum
No answers on this topic
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
DVSum
No answers on this topic
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
DVSum
No answers on this topic
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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Alternatives Considered
DVSum
No answers on this topic
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
DVSum
No answers on this topic
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

DvSum Screenshots

Screenshot of Rich metadata model with user-friendly interfaceScreenshot of Automated AI generated data quality checksScreenshot of Plugin to consume Data Catalog directly inside ReportsScreenshot of Usage analytics, usability quality improvements reporting