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
Google Cloud Run
Score 9.1 out of 10
N/A
Google Cloud Run enables users to build and deploy scalable containerized apps written in any language (including Go, Python, Java, Node.js, .NET, and Ruby) on a fully managed platform. Cloud Run can be paired with other container ecosystem tools, including Google's Cloud Build, Cloud Code, Artifact Registry, and Docker. And it features out-of-the-box integration with Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting to ensure the health of an application.
N/A
Pricing
Amazon Elastic Compute Cloud (EC2)
Google Cloud Run
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)
Google Cloud Run
Free Trial
No
Yes
Free/Freemium Version
No
Yes
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)
Google Cloud Run
Considered Both Products
Amazon Elastic Compute Cloud (EC2)
Verified User
Anonymous
Chose Amazon Elastic Compute Cloud (EC2)
Amazon Elastic Compute Cloud (EC2) gives better performance for the instance of similar price range, more options for the instance type with good mix of vcpu and memory, administrator finds it easier to manage.
Azure VM Builder offers good service, but the options are quite limited (Too much inclined to Windows as it is prepared by Microsoft). EC2 image building capabilities are the best in the market, and offer Windows, Linux (CentOS, rh2, debian, ubuntu), along with other distros, …
Using Digital Ocean's droplets was much easier and faster to set up and test, but we needed very specific and custom configurations and hardware for our use case, so we went ahead with using Amazon's EC2 instances.
EC2 is easier and more intuitive to use than the same product from other Cloud providers, AWS has been improving on EC2 since its conception in 2006 while the other cloud providers are only following the steps of AWS without much innovation.
We chose Amazon Elastic Compute Cloud (EC2) for our Splunk workloads so that we can take advantage of directly attached high speed storage, along with the other benefits of running on Amazon Elastic Compute Cloud (EC2) instances, such as load balancing, spot pricing and general …
I found Microsoft Azure to be very very complex for new users. The dashboard is very intimidating.
Amazon Elastic Compute Cloud has more popularity and a bigger community to reach out to in case of any issues or help. Found Amazon Elastic Compute Cloud to be the most recommended …
Amazon EC2 is super flexible compared to the PaaS offerings like Heroku Platform and Google App Engine since with Amazon EC2, we have access to the terminal. In terms of pricing, it's basically just the same as Google Compute Engine. The deciding factor is Amazon EC2's native …
I did not select AWS EC2 as my final choice of infrastructure. I picked Linode. Linode, Digital Ocean, AWS EC2 all provide the VPS infrastructure we need. But because I'm a small company, the cost is very important. I also didn't need the other AWS features. I also want to make …
We tried a few other competitors on the web hosting side of our company and ultimately decided to go with AWS EC2 instances. AWS had the most flexibility, the most choices for different types of instances, a variety of Operating Systems, an incredible infrastructure across …
AWS EC2 is fully interfaced with the Amazon Web Services platform and Google compute engine fits in more with Google. While either provider would have been fine, we are pretty much all built on top of AWS at this point barring some clients. It just flowed easier.
Amazon was the first one in the market to provide virtual machines in the cloud and certainly gained a lot of popularity before the rest even came to the picture. The different service providers are quite mutually exclusive, and one cannot easily use more than one at the same …
EC2 has better modes, a variety of instances and UI support as compare to GCE. GCE is completely command driven. As compared to it EC2 provides a better user interface.
We have been using EC2 for so much longer, that even though we use Azure's other features and services more then the equivalent AWS features and services, we don't usually go for Azure's VM offerings first over EC2. I guess that that means this recommendation is mostly based …
Amazon EC2 is the best cloud solution on the market. It has very competitive prices and an incredible number of services available for use. The billing is very efficient and details. EC2 is a great option for individuals, small groups, and large companies. As the needs of …
Amazon's been leading the way in the past few years in cloud computing and have easily become a name we can trust. When we looked at options, nothing compared to EC2 when you looked at the scalability and flexibility of the product. For the needs we were trying to meet, these …
EC2 is a much more advantageous compared with the competitors because it has a much better console, configuration, auto-scalability, uptime, and many other features that are way better than other services I have seen so far. It also provides great backup services integrated …
In our eyes, Amazon has become the de-facto cloud provider. We have searched for other options, but none of them compare when you take documentation, training, support, ease of use all into account. Of all the cloud environments that our admins use daily, AWS is by far the …
All the services above can be built on a server vs using a service. It allows teams that have more breadth of development to dive deep into the implementation and tailor the performance based on the needs they have specifically. In addition, we can tear down failed experiments …
Most of our existing serverless services are deployed on Google to it was a natural choice. With the new artifact registry, its very easy to deploy. With git flows, its now even easier to update the deployment just with a commit to the main branch. The initial trial period is …
The other two obvious cloud providers have direct alternatives: AWS Lambda and Azure Functions. Both were also evaluated briefly (only to validate that they exist); however, the organization had settled on shifting to Google for business reasons, and therefore, the comparison …
Flexibility of features snd customzing options tha optimized the large process and make it on the the go to reuse the same process in multiple deployments ot rollouts
Cloud Run is just so much easier and straightforward to work with than EC2 when it comes to getting a Docker image up and running and serving requests.
Usage is easy and also we have GCP as out cloud partner hence we made up our mind to go with Cloud Run and so far no issues things are going fine with it. and getting good features from Google in it.
The Goolge docs for their products as well as the UI is a lot nicer than AWS or Azure and in general I found it much easy to work with. We selected Google mainly because of startup credits and the support offered but can confidently say we would choose them again without that …
Suitable for companies that are looking for performance at a competitive price, flexibility to switch instance type even with RI, flexibility to add-on IOPS, option to lower running cost with the regular introduction of new instance type that comes with higher performance but at a lower cost.
Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.
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 easy and straightforward for a technical person to use it via SSH, but when working in cross-functional teams, using Amazon's web console is difficult for this particular service. Most modern cloud providers provide a more seamless user interface to interact with their cloud machines, and the same should have been the case with EC2.
The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.
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 Builder offers good service, but the options are quite limited (Too much inclined to Windows as it is prepared by Microsoft). EC2 image building capabilities are the best in the market, and offer Windows, Linux (CentOS, rh2, debian, ubuntu), along with other distros, which helps customers choose according to their needs.
With EC2 you pay only when is Running, so you can save up to 75% on Dev environments which are running only on office hours
You have several ways to pay for EC2, with EC2 Reserved Instances you pay with a discount of up to 72% if you make a commitment of using them from 1 or 3 years
With EC2 spot you can use spare AWS EC2 capacity with a discount of up to 90%, your workload must be interrupt tolerant as your EC2 could be reclaim by AWS and the EC2 terminated