Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. Users can launch instances with a variety of OSs, load them with custom application environments, manage network access permissions, and run images on multiple systems.
$0.01
per IP address with a running instance per hour on a pro rata basis
Amazon SageMaker
Score 8.3 out of 10
N/A
Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
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Pricing
Amazon Elastic Compute Cloud (EC2)
Amazon SageMaker
Editions & Modules
Data Transfer
$0.00 - $0.09
per GB
On-Demand
$0.0042 - $6.528
per Hour
EBS-Optimized Instances
$0.005
per IP address with a running instance per hour on a pro rata basis
Carrier IP Addresses
$0.005 - $0.10
T4g Instances
$0.04
per vCPU-Hour Linux, RHEL, & SLES
T2, T3 Instances
$0.05 ($0.096)
per vCPU-Hour Linux, RHEL, & SLES (Windows)
No answers on this topic
Offerings
Pricing Offerings
Amazon Elastic Compute Cloud (EC2)
Amazon SageMaker
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Elastic Compute Cloud (EC2)
Amazon SageMaker
Considered Both Products
Amazon Elastic Compute Cloud (EC2)
No answer on this topic
Amazon SageMaker
Verified User
Employee
Chose Amazon SageMaker
Amazon SageMaker comes with other supportive services like S3, SQS, and a vast variety of servers on EC2. It's very comfortable to manage the process and also support the end application by one click hosting option. Also, it charges on the base of what you use and how long you …
I think nowadays, Amazon EC2 is best-suited for most app development and deployment use cases, especially if your resource requirements are not fixed over a long period of time. The flexibility provided by the on-demand pricing and rescaling option makes Amazon EC2 a great service, especially if your tech stack already runs on AWS. On the other hand, I think Amazon EC2 is not the best option if your tech infrastructure runs on another public cloud.
It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
A great variety of choices in Amazon Machine Image (AMI) types. Users can select a more basic type to run generic workloads, but also have the choice to pick an AMI pre-installed with specific services in the AWS Marketplace.
The range of instance types can support the usage from a student's exploration (inexpensive general-purpose nano instances) to an enterprise's most intense workloads (memory or storage-optimized instances with terabytes of memory and ultra-fast network connection).
The pricing options, from regular instances, reserved instances to spot instances allow users to get the job done and make smart choices about how much they want to pay and when they want to pay.
This service is a bit difficult to consume. New users need a big learning curve to use this service effectively.
UI for EC2 service is a little complex and at many places, it misses detailed explanation.
Sometimes it takes too long to create images of EC2 instances. This keeps your EC2 up for that extra time. When instances are heavy, it penalizes a lot of money.
It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
Amazon Elastic Compute Cloud (EC2) allows various ways of gaining incidents, such as slow growth, money, and the reserved ones, mostly depend entirely on the necessity, because it makes highly intelligent choices possible at these times, which enable considerable cost savings whilst addressing the situation as best I like.
AWS's support is good overall. Not outstanding, but better than average. We have had very little reason to engage with AWS support but in our limited experience, the staff has been knowledgeable, timely and helpful. The only negative is actually initiating a service request can be a bit of a pain.
Azure VM and Google Compute Engine are alternatives to EC2. AWS EC2 is most matures and advanced of the 3. All these provide easy-to-deploy and automatically configured third-party applications, including single virtual machine or multiple virtual machine solutions.
Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
AWS has had a very positive return on investment for every client we have that uses it. They are saving money in the long run.
AWS includes the underlying operating system licenses with their EC2 instances so no longer do we have to navigate through Microsoft licensing headache.
EC2 allows us to easily create a golden image of servers and store them as AMIs. This makes spinning up new servers that need a particular set of software in the future extremely easy and cost-effective.
