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BMC Helix Continuous Optimization

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
BMC Helix Continuous Optimization
Score 10.0 out of 10
N/A
A cloud-based solution for continuous IT resource management and service assurance. BMC Helix Continuous Optimization uses intelligence and predictive analytics to manage IT resources and applications including those based on Kubernetes and pods, microservices, containers, and multi-cloud services.N/A
Pricing
BMC Helix Continuous Optimization
Editions & Modules
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Offerings
Pricing Offerings
BMC Helix Continuous Optimization
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
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User Ratings
BMC Helix Continuous Optimization
Likelihood to Recommend
8.0
(0 ratings)
User Testimonials
BMC Helix Continuous Optimization
Likelihood to Recommend
Based on what we have experienced, BMC Helix Optimize is a good choice for businesses that already have other BMC tools, such as BMC Helix Operations Management or BMC Helix Cloud Cost, due to the integrated capabilities that can be leveraged. Besides, it is a great tool for visual analysis of costs associated with operations.
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Anonymous
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Pros
  • Graphical Representations.
  • Building of Data Views.
  • Planning of operational budgets based on performance.
Verified User
Anonymous
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Cons
  • No mobile app is available.
  • Only available in English.
  • Not many data integrations available.
Verified User
Anonymous
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Alternatives Considered
In general, BMC Helix Optimize has a set of tools that are quite advanced compared to other technologies in the same field. Especially the visual representations and the flexibility when building rules to control the spend are some of the most useful functionalities that work quite well, usually better than in the rest of the tools.
Verified User
Anonymous
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Return on Investment
  • Good ROI after optimizing redundant processes.
  • Identification of issues when being able to represent data visually.
  • Reduced costs due to limiting number of needed resources.
Verified User
Anonymous
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