Cloudera Data Platform vs. IBM Machine Learning for z/OS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Data Platform
ScoreĀ 6.5Ā outĀ ofĀ 10
N/A
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.
$0.04
per CCU (hourly rate)
IBM Machine Learning for z/OS
ScoreĀ 9.9Ā outĀ ofĀ 10
N/A
IBM Machine Learning for z/OSĀ® brings AI to transactional applications on IBM zSystems. It can embed machine learning and deep learning models to deliver real-time insight, or inference every transaction with minimal impact to operational SLAs.N/A
Pricing
Cloudera Data PlatformIBM Machine Learning for z/OS
Editions & Modules
CDP Public Cloud - Data Hub
$0.04
per CCU (hourly rate)
CDP Public Cloud - Data Warehouse
$0.054
per CCU (hourly rate)
CDP Public Cloud - Data Engineering
$0.07
per CCU (hourly rate)
CDP Public Cloud - Operational Database
$0.08
per CCU (hourly rate)
CDP Public Cloud - Flow Management
$0.15
per CCU (hourly rate)
CDP Public Cloud - Machine Learning
$0.17
per CCU (hourly rate)
CDP Private Cloud - Plus Edition
$400
CCU (annual subscription)
CDP Private Cloud - Base Edition
$10,000.00
node + variable (annual subscription)
No answers on this topic
Offerings
Pricing Offerings
Cloudera Data PlatformIBM Machine Learning for z/OS
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Detailsā€”ā€”
More Pricing Information
Community Pulse
Cloudera Data PlatformIBM Machine Learning for z/OS
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User Ratings
Cloudera Data PlatformIBM Machine Learning for z/OS
Likelihood to Recommend
7.0
(1 ratings)
10.0
(2 ratings)
Support Rating
8.0
(1 ratings)
4.0
(1 ratings)
User Testimonials
Cloudera Data PlatformIBM Machine Learning for z/OS
Likelihood to Recommend
Cloudera
I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.
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IBM
IBM Watson Machine Learning is an AI-based scalable self-learning model for any type of business. It can be used to help any company automate repetitive tasks, predict future trends, and make data-driven decisions. I used it to predict stock prices based on certain variables. It works well, cost me nothing, and gives me the ability to create my own AI-based models that I can use for any purpose.
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Pros
Cloudera
  • Scales
  • Highly available
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IBM
  • Good machine learning tool
  • Easy integration
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Cons
Cloudera
  • Constantly changing costs
  • Log visibility
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IBM
  • Proper usage of REST API documentation is missing.
  • Not localization friendly, cannot support regional or local language documents.
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Support Rating
Cloudera
We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.
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IBM
IBM had a hard time providing business level support. There were a lot of data scientists and technology experts but rarely a simple business person shows up. Also the way IBM operates IBM Consulting has competing priorities as compared to IBM Technology. This has resulted in a lot of confusion at the client's end.
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Alternatives Considered
Cloudera
IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.
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IBM
We have been using Microsoft Azure as a machine learning tool. But the challenges remain the same. These are all tools that you need a robust analysis before a decision on the tool. Unfortunately, the technology company cannot make that determination due to lack of core business understanding. Without that the project is doomed.
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Return on Investment
Cloudera
  • Reduced operational costs
  • Speed to market
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IBM
  • Create secure business environment.
  • Save upto 90% of manual labor.
  • Improve my sales and marketing ROI.
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ScreenShots