Mirantis OpenStack for Kubernetes vs. Petrel E&P

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Mirantis OpenStack for Kubernetes
Score 9.0 out of 10
N/A
Mirantis OpenStack for Kubernetes enables users to deploy, scale, and update bare metal private clouds on Kubernetes substrates.N/A
Petrel E&P
Score 6.0 out of 10
N/A
Petrel E&P, from Schlumberger, is a modular suite of applications designed to support exploratory geological study and geological modeling, with features such as data visualization, and other model building tools.N/A
Pricing
Mirantis OpenStack for KubernetesPetrel E&P
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Mirantis OpenStack for KubernetesPetrel E&P
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
Mirantis OpenStack for KubernetesPetrel E&P
User Ratings
Mirantis OpenStack for KubernetesPetrel E&P
Likelihood to Recommend
9.0
(2 ratings)
6.0
(2 ratings)
User Testimonials
Mirantis OpenStack for KubernetesPetrel E&P
Likelihood to Recommend
Mirantis
Mirantis is well suited for someone who doesn't mind spending money but doesn't quite want to commit to a cloud provider like AWS. It is also well suited for small or junior technical teams that don't have the skills, experience, or time to run their own openstack clusters.
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Schlumberger
Petrel is an extremely powerful tool and for geological 3D modeling is the go-to tool, it's Sequential Indicator Simulations, Object-Based modeling or multiple point statistics modeling workflows are top notches and I highly advise its use. I wouldn't recommend using it for seismic interpretation based on seismic attributes since it can be a little bit limited in this aspect.
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Pros
Mirantis
  • Can be deployed and run on bare metal on premises clouds
  • Is highly reliable and highly scalable
  • One of the good performance private cloud IAAS platforms available around
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Schlumberger
  • Petrel handles multiple coordinate systems better than competitors.
  • The object tree organization in Petrel is intuitive and user-friendly.
  • Easy to handle data across multiple UTM zones by allowing geodesic coordinates.
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Cons
Mirantis
  • Mirantis OpenStack managed services are expensive. Very expensive for a start-up.
  • I'd personally like to see a little more under the hood details in the status pages.
  • Mirantis could also benefit heavily from a free "light" version that start-ups could use to run their own cloud. Maybe coupled with advertising or some sort of surveys.
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Schlumberger
  • Petrel is extremely expensive, working with it in a small company is almost impossible. This shouldn't be an issue for a large company or for a big university with a large budget for investigation.
  • Since it has so many functions it can be overwhelming once you begin using it, so I highly recommend to pay for a Schlumberger instructor.
  • The seismic attributes could be improved since they are not entirely accurate.
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Alternatives Considered
Mirantis
Mirantis OpenStack for Kubernetes is easily manageable and has seamlessly configurable containers. It also has high reliability and security, which is certainly a positive point for this product. Overall I think it is a worthy competitor in the market to compare for your needs.
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Schlumberger
I use Petrel and competitor products for different functions. If I didn't have Petrel, it would be a lot more difficult to work with my aerially extensive dataset and manipulate my data with geographic coordinates.
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Return on Investment
Mirantis
  • Mirantis did help our business figure out if openstack was right for us.
  • Using Mirantis I felt a bit cheated on understanding the deep technical knowledge of how openstack works. But that being said that is probably a value add more than a detractor for most people.
  • Using Mirantis was considerably cheaper than AWS.
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Schlumberger
  • Working at the University of Oklahoma the investment is well paid since geoscientist are formed with the best tool available.
  • Keeping in mind that the software is really expensive, for the product to have an economic positive impact the project's revenue has to be large.
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ScreenShots