Amazon Deep Learning AMIs vs. SAP on IBM Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Deep Learning AMIs
Score 8.7 out of 10
N/A
AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new…N/A
SAP on IBM Cloud
Score 9.4 out of 10
N/A
SAP on IBM Cloud helps businesses maximize efficiency by running their SAP applications on IBM Cloud. Businesses can use SAP on IBM Cloud to move from on-premises solutions to cloud-based with higher availability, flexibility, and performance, as well as simpler disaster recovery processes.N/A
Pricing
Amazon Deep Learning AMIsSAP on IBM Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon Deep Learning AMIsSAP on IBM Cloud
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
Amazon Deep Learning AMIsSAP on IBM Cloud
Top Pros
Top Cons
Features
Amazon Deep Learning AMIsSAP on IBM Cloud
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Amazon Deep Learning AMIs
-
Ratings
SAP on IBM Cloud
8.5
2 Ratings
4% above category average
Service-level Agreement (SLA) uptime00 Ratings8.02 Ratings
Dynamic scaling00 Ratings8.72 Ratings
Elastic load balancing00 Ratings8.62 Ratings
Pre-configured templates00 Ratings7.62 Ratings
Monitoring tools00 Ratings8.62 Ratings
Pre-defined machine images00 Ratings8.21 Ratings
Operating system support00 Ratings9.11 Ratings
Security controls00 Ratings9.12 Ratings
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Amazon Deep Learning AMIsSAP on IBM Cloud
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Score 9.3 out of 10
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User Ratings
Amazon Deep Learning AMIsSAP on IBM Cloud
Likelihood to Recommend
10.0
(2 ratings)
9.0
(19 ratings)
Support Rating
-
(0 ratings)
7.8
(2 ratings)
User Testimonials
Amazon Deep Learning AMIsSAP on IBM Cloud
Likelihood to Recommend
Amazon AWS
Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle. If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.
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IBM
There are some specific scenarios where SAP on IBM Cloud is less appropriate. For example, if a company is looking for a platform to run small or experimental applications, then SAP on IBM Cloud may not be the best option. Additionally, if a company is looking for a very customized or tailored solution, then SAP on IBM Cloud may also be less appropriate. However, for most businesses who are looking for a secure, scalable, and reliable platform to run their business applications, SAP on IBM Cloud is an excellent option.
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Pros
Amazon AWS
  • Setting up environment
  • Support for different types of machines
  • Perfect for Machine Learning / Deep Learning use cases
  • Nvidia / Cuda / Conda support easily
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IBM
  • Reaching multiple business data across various platforms
  • Analytics are the best and effective
  • Intelligent capabilities and reporting tools are excellent
  • Easy to manage project
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Cons
Amazon AWS
  • Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
  • It can be a bit confusing to switch between frameworks for novice users
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IBM
  • The new user has to pass though a serious training.
  • Getting fully manipulation of the features may take some time.
  • Multiple data access for the new user.
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Support Rating
Amazon AWS
No answers on this topic
IBM
I am giving the overall support for SAP on IBM Cloud 9 out of 10 because IBM Cloud provides excellent quality tech support via phone and chat. So far, I have not had a negative experience working with IBM Cloud support staff. They are easy to reach, helpful, and courteous
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Alternatives Considered
Amazon AWS
Both of these services provide similar functionality and from my experience both are top class services which cover most of your needs. I think ultimately it comes down to what you need each service for. For example Amazon DL AMIs allows for clustering by default meaning I am able to run several clustering algorithms without a problem whereas IBM Watson Studio doesn't provide this functionality. They both provide a wide range of default packages such as Amazon providing caffe-2 and IBM providing sci-kitlearn. My main point is that both are very good services which have very similar functionality, you just need to think about the costs, suitability of features and integration with other services you are using.
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IBM
I have tested out both Microsoft Azure and SAP on IBM Cloud and can confidently say that SAP on IBM Cloud is the obvious choice. The key advantages of SAP on IBM Cloud compared to Microsoft Azure are that IBM Cloud offers free unlimited access to tech support, provides higher object storage space as well as unlimited private virtual servers.
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Return on Investment
Amazon AWS
  • Saves a lot of Infra Costs
  • Saves a lot of time in handling environment issues
  • Easy to start a new instance
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IBM
  • Security to our data and easy to recover when need arises.
  • Flexible contracting capacity and rapid expansions.
  • Ready to use Cloud functionalities and quick support for easy implementation.
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ScreenShots