Hitachi Lumada vs. IBM Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hitachi Lumada
Score 8.5 out of 10
N/A
Hitachi Vantara offers Hitachi Lumada, an Internet of Things management and analytics platform.N/A
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
Hitachi LumadaIBM Cloud Pak for Data
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Hitachi LumadaIBM Cloud Pak for Data
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
Hitachi LumadaIBM Cloud Pak for Data
Best Alternatives
Hitachi LumadaIBM Cloud Pak for Data
Small Businesses

No answers on this topic

Egnyte
Egnyte
Score 9.3 out of 10
Medium-sized Companies
Cisco Catalyst IE3400 Rugged Series Switches
Cisco Catalyst IE3400 Rugged Series Switches
Score 8.9 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises

No answers on this topic

IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Hitachi LumadaIBM Cloud Pak for Data
Likelihood to Recommend
8.5
(2 ratings)
8.9
(9 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(2 ratings)
User Testimonials
Hitachi LumadaIBM Cloud Pak for Data
Likelihood to Recommend
Hitachi Vantara
Organizations may use sensors like RFID and break beams to automatically monitor components as they travel through the assembly. Real-time data from IoT may help managers and supervisors monitor the performance of their teams. With this level of transparency, bottlenecks can be identified, problems can be pinpointed, and progress can be made more quickly.
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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
Hitachi Vantara
  • Improve business process outcomes.
  • Improve business process agility.
  • Drive innovation, cost management, and revenue growth.
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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
Hitachi Vantara
  • Data security can be improved.
  • Adoption flexibility.
  • Steep learning curve.
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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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Alternatives Considered
Hitachi Vantara
A lot of components are available and able to use what you need. Module library, Advanced analytics. Batch data processing. Variety of ways to integrate. Cost-effective. These are some of the ways Hitachi Lumada ranks above the ones we have used.
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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
Hitachi Vantara
  • Overall cost.
  • Financial/organizational viability.
  • Strong services expertise.
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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