AWS Lambda vs. Red Hat OpenShift on IBM Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Lambda
Score 8.8 out of 10
N/A
AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.
$NaN
Per 1 ms
Red Hat OpenShift on IBM Cloud
Score 8.9 out of 10
N/A
Red Hat OpenShift on IBM Cloud is a comprehensive service that offers fully managed OpenShift clusters, on IBM Cloud platform. It is directly integrated into the same Kubernetes service that maintains 25 billion on-demand forecasts daily at The Weather Company.N/A
Pricing
AWS LambdaRed Hat OpenShift on IBM Cloud
Editions & Modules
128 MB
$0.0000000021
Per 1 ms
1024 MB
$0.0000000167
Per 1 ms
10240 MB
$0.0000001667
Per 1 ms
No answers on this topic
Offerings
Pricing Offerings
AWS LambdaRed Hat OpenShift on IBM Cloud
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS LambdaRed Hat OpenShift on IBM Cloud
Considered Both Products
AWS Lambda

No answer on this topic

Red Hat OpenShift on IBM Cloud
Chose Red Hat OpenShift on IBM Cloud
For our particular use case, Red Hat OpenShift on IBM Cloud was very cost-competitive. We already had RHEL, OpenShift, and Ansible skills that translated to the service. From a feature and function perspective, most solutions have a parity but being open source and less chance …
Top Pros
Top Cons
Features
AWS LambdaRed Hat OpenShift on IBM Cloud
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
AWS Lambda
9.3
3 Ratings
3% below category average
Red Hat OpenShift on IBM Cloud
-
Ratings
Multiple Access Permission Levels (Create, Read, Delete)9.03 Ratings00 Ratings
Single Sign-On (SSO)9.52 Ratings00 Ratings
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
AWS Lambda
6.1
3 Ratings
4% below category average
Red Hat OpenShift on IBM Cloud
-
Ratings
Dashboards6.73 Ratings00 Ratings
Standard reports6.52 Ratings00 Ratings
Custom reports5.02 Ratings00 Ratings
Function as a Service (FaaS)
Comparison of Function as a Service (FaaS) features of Product A and Product B
AWS Lambda
7.9
3 Ratings
3% below category average
Red Hat OpenShift on IBM Cloud
-
Ratings
Programming Language Diversity9.03 Ratings00 Ratings
Runtime API Authoring8.33 Ratings00 Ratings
Function/Database Integration8.33 Ratings00 Ratings
DevOps Stack Integration6.03 Ratings00 Ratings
Container Management
Comparison of Container Management features of Product A and Product B
AWS Lambda
-
Ratings
Red Hat OpenShift on IBM Cloud
7.9
4 Ratings
1% above category average
Security and Isolation00 Ratings8.64 Ratings
Container Orchestration00 Ratings8.64 Ratings
Cluster Management00 Ratings7.94 Ratings
Storage Management00 Ratings8.24 Ratings
Resource Allocation and Optimization00 Ratings7.94 Ratings
Discovery Tools00 Ratings7.03 Ratings
Update Rollouts and Rollbacks00 Ratings7.83 Ratings
Self-Healing and Recovery00 Ratings7.74 Ratings
Analytics, Monitoring, and Logging00 Ratings7.74 Ratings
Best Alternatives
AWS LambdaRed Hat OpenShift on IBM Cloud
Small Businesses
IBM Cloud Functions
IBM Cloud Functions
Score 8.1 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.3 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 8.8 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.3 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 8.8 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS LambdaRed Hat OpenShift on IBM Cloud
Likelihood to Recommend
9.3
(48 ratings)
9.0
(13 ratings)
Usability
9.0
(13 ratings)
-
(0 ratings)
Support Rating
8.7
(20 ratings)
7.0
(1 ratings)
User Testimonials
AWS LambdaRed Hat OpenShift on IBM Cloud
Likelihood to Recommend
Amazon AWS
Scenarios where AWS Lambda is well suited: 1. When we need to run a periodic task few times in a day or every hour, we may deploy it on AWS Lambda so it would not increase load on our server which is handling client requests and at the same time we don't have to pay for AWS Lambda when it is not running. So, overall we only pay for few function invocations. 2. When some compute intensive processing is to be done but the number of requests per unit of time fluctuates. For example, we had deployed an AWS Lambda for processing images into different sizes and storing them on AWS S3 once user uploads them. Now, this is something that may happen few times every hour on a particular day or may not happen even once on other days. To handle this kind of tasks AWS Lambda is a better choice as we don't have to pay for the idle time of the server and also we don't have to worry about scaling when the load is high. Scenarios where AWS Lambda is not appropriate to use: 1. When we expect a large request volume continuously on the server. 2. When we don't want latency even in case of concurrent requests.
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IBM
RedHat OpenShift is not only suited for IBM Cloud but can run in ANY cloud. We installed in Azure Cloud, for example. It can also run on Linux servers or a Power 9 machine. It is built for multi-cloud or on-prem environments. IBM support provides such excellent guidance in the installation and configuration that no other product on the market can beat it.
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Pros
Amazon AWS
  • Lambda provides multiple methods for triggering functions, this includes AWS resources and services and external triggers like APIs and CLI calls.
  • The compute provided my Lambda is largely hands off for operations teams. Once the function is deployed, the management overhead is minimal since there are no servers to maintain.
  • Lambda's pricing can be very cost effective given that users are only charged for the time the function runs and associated costs like network or storage if those are used. A function that executes quickly and is not called often can cost next to nothing.
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IBM
  • Multiclick provisioning of resources makes it super easy to manage pods and deployments. We don't have to maintain code for the same
  • In built security features and customizability ensures that organization wide standards are integrated well into the containers
  • Automated backups, scale ups and fail recovery makes sure of minimal down time
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Cons
Amazon AWS
  • Putting a significant portion of your codebase into AWS Lambda and taking advantage of the high level of integration with other AWS services comes with the risk of vendor lock-in.
  • While the AWS Lambda environment is "not your problem," it's also not at your disposal to extend or modify, nor does it preserve state between function executions.
  • AWS Lambda functions are subject to strict time limitations, and will be aborted if they exceed five minutes of execution time. This can be a problem for some longer-running tasks that are otherwise well-suited to serverless delivery.
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IBM
  • I wish it had better compatibility with docker file syntax. We had issues when it couldn't build standard docker files
  • Wish it had better documentation
  • Wish they offered fully supported client libraries for the Openshift API rather than dumping it on a 3rd party
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Usability
Amazon AWS
I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.
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IBM
No answers on this topic
Support Rating
Amazon AWS
I have not needed support for AWS Lambda, since it is already using Python, which has resources all over the internet. AWS blog posts have information about how to install some libraries, which is necessary for some more complex operations, but this is available online and didn't require specific customer support for.
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IBM
I think response time for IBM Cloud support should be improved.
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Alternatives Considered
Amazon AWS
Azure Functions is another product that provides lambda functionality, but the documentation for some of Azure's products is quite hard to read. Additionally, AWS Lambda was one of the first cloud computing products on a large cloud service that implemented lambda functions, so they have had the most time to develop the product, increase the quality of service, and extend functionality to more languages. Amazon, by far, has the best service for Lambda that I know.
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IBM
We evaluated a number of potential solutions and ultimately chose Red Hat OpenShift because it was compatible with our existing technology. Time and costs savings have been realized throughout the company since we implemented Red Hat OpenShift, and the IT department has been freed up to focus on activities that are more valuable.
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Return on Investment
Amazon AWS
  • I was able to perform a lot of processing on data delivered from my website and little or no cost. This was a big plus to me.
  • Programming AWS Lambda is quite easy once you understand the time limits to the functions.
  • AWS Lambda has really good integration with the AWS S3 storage system. This a very good method of delivering data to be processed and a good place to pick it up after processing.
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IBM
  • Our customer satisfaction and NPS score has had positive outcomes based on new architecture
  • We are focused on business outcomes vs running the service and maintenance
  • OpenShift on IBM Cloud has had a direct, positive impact on TCO, ROI, and payback period
  • Our staff is more focused on higher-level business activities, i.e. acquiring & customer retention
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ScreenShots