AWS Lambda vs. Red Hat OpenShift

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Lambda
Score 8.7 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
Score 8.7 out of 10
N/A
OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
$0.08
per hour
Pricing
AWS LambdaRed Hat OpenShift
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
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS LambdaRed Hat OpenShift
Considered Both Products
AWS Lambda
Chose AWS Lambda
We really did not evaluate them against other products except a little Google research, we are a centralized AWS customer so it was a smooth and simple (even if blind) decision for us.
Red Hat OpenShift

No answer on this topic

Top Pros
Top Cons
Features
AWS LambdaRed Hat OpenShift
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
AWS Lambda
-
Ratings
Red Hat OpenShift
7.7
91 Ratings
6% below category average
Ease of building user interfaces00 Ratings7.575 Ratings
Scalability00 Ratings8.691 Ratings
Platform management overhead00 Ratings6.783 Ratings
Workflow engine capability00 Ratings7.274 Ratings
Platform access control00 Ratings7.685 Ratings
Services-enabled integration00 Ratings7.677 Ratings
Development environment creation00 Ratings8.083 Ratings
Development environment replication00 Ratings7.778 Ratings
Issue monitoring and notification00 Ratings7.181 Ratings
Issue recovery00 Ratings7.980 Ratings
Upgrades and platform fixes00 Ratings8.384 Ratings
Best Alternatives
AWS LambdaRed Hat OpenShift
Small Businesses
IBM Cloud Functions
IBM Cloud Functions
Score 8.2 out of 10
AWS Lambda
AWS Lambda
Score 8.7 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 8.7 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.5 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 8.7 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS LambdaRed Hat OpenShift
Likelihood to Recommend
8.8
(45 ratings)
8.6
(100 ratings)
Likelihood to Renew
-
(0 ratings)
8.9
(9 ratings)
Usability
9.0
(13 ratings)
8.4
(7 ratings)
Availability
-
(0 ratings)
5.5
(1 ratings)
Performance
-
(0 ratings)
7.8
(20 ratings)
Support Rating
8.7
(20 ratings)
7.4
(8 ratings)
Implementation Rating
-
(0 ratings)
8.6
(2 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
7.4
(2 ratings)
Professional Services
-
(0 ratings)
7.3
(1 ratings)
User Testimonials
AWS LambdaRed Hat OpenShift
Likelihood to Recommend
Amazon AWS
[AWS Lambda] is very well suited for the projects that doesn't have any infra but needs it where short running processes are required. But if your application need to run continuously than this might not be the very apt tool for you.
Read full review
Red Hat
Well, in our case, because I have two use cases, one is with the operator, which obviously is super easy with OpenShift because it's just click, click start aside from the issue from the operator. But that's a different interview. And the other point is for the web portal that our portal team uses, it's very easy. Two perform a task needed for them to do their deployment, their pipelines, and their daily Java.
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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.
Read full review
Red Hat
  • Scales very well.
  • It provides you with a landing pad to modernize what you have in a phased approach so you don't have to do it all at once, right? You can take small pieces of work and implement those on OpenShift over time. It enables us to be able to implement things like GI ops configuration as a service, and infrastructure as a service using the tools that are native to OpenShift, which gives us far greater reliability and consistency as far as monitoring for any kind of drift and configuration or unauthorized changes. So it pretty much gives us a lot of visibility on things that are otherwise relatively difficult to see using the old means of doing what we do. So it provides us with a modern set of tools to accomplish all those objectives.
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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.
Read full review
Red Hat
  • Network of observability, so having one single screen to see to have some network-related metrics for the pod levels. Also at the cluster itself level and more importantly is ease of use for troubleshooting when there's any timeout. This has been the single kind of issue I've been facing for my three years of experience with OpenShift and it hasn't been an easy task for such troubleshooting.
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Likelihood to Renew
Amazon AWS
No answers on this topic
Red Hat
Leverage OpenShift Online constantly at both the free and paid tiers. While AWS is convenient, it often brings more administration than I want to deal with for a quick application (i.e. Drupal or Wordpress blog). OpenShift also simplifies the DNS registration and ability to share application environments with team members
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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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Red Hat
As I said before, the obserability is one of the weakest point of OpenShift and that has a lot to do with usability. The Kibana console is not fully integrated with OpenShift console and you have to switch from tab to tab to use it. Same with Prometheus, Jaeger and Grafan, it's a "simple" integration but if you want to do complex queries or dashboards you have to go to the specific console
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Performance
Amazon AWS
No answers on this topic
Red Hat
Applications deployed to OpenShift clusters stay responsive when peak load hits or when the traffic dies down - since the platform reacts by scaling out or scaling in the deployed applications elastically - achieved through' policy sense and response automation - leveraging monitoring, measuring (metrics), auto-scaling to meet SLAs, SLOs, and SLIs. This approach works for stateless or stateful business logic hosting applications. The deployed applications perform consistently, stably, and securely across many deployment platforms - public clouds, private data centers, at the edge, or on factory floors - hosted by bare metal or virtual environments.
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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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Red Hat
Their customer support team is good and quick to respond. On a couple of occassions, they have helped us in solving some issues which we were finding a tad difficult to comprehend. On a rare occasion, the response was a bit slow but maybe it was because of the festival season. Overall a good experience on this front.
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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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Red Hat
We had some existing apps and were looking for a platform to modernize our app deployments and scale for future growth. Based on Kubernetes, OpenShift offers more flexibility and customization. We could deploy any type of containerized application, not just Cloud Foundry-specific ones. I particularly liked the built-in security and its focus on rapid and automated deployments. Moreover, our cloud strategy isn't set in stone. OpenShift's flexibility means we could deploy on-prem, in multiple public clouds, or use a hybrid approach - something other products couldn't offer as expected.
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Contract Terms and Pricing Model
Amazon AWS
No answers on this topic
Red Hat
It's easy to understand what are being billed and what's included in each type of subscription. Same with the support (Std or Premium) you know exactly what to expect when you need to use it. The "core" unit approach on the subscription made really simple to scale and carry the workloads from one site to another.
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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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Red Hat
  • I'll say a lot of positive impact because when we started making this product aware to all the application domains in our business, they saw how easy to use. I mean we are giving a lot of control to the development team, how they can scale their application, how can they check the health of the application, and what action they can take if they are in any kind of failure or even meeting the business's SLA. So there are a lot of capabilities and those are really new features they can use. Those I think are a good use of OpenShift.
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ScreenShots