AWS Lambda vs. Red Hat OpenShift

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
Score 8.8 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
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
-
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
-
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
-
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
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
AWS Lambda
-
Ratings
Red Hat OpenShift
8.1
190 Ratings
0% below category average
Ease of building user interfaces00 Ratings8.3162 Ratings
Scalability00 Ratings8.8180 Ratings
Platform management overhead00 Ratings7.8167 Ratings
Workflow engine capability00 Ratings7.8150 Ratings
Platform access control00 Ratings8.3169 Ratings
Services-enabled integration00 Ratings8.0156 Ratings
Development environment creation00 Ratings8.0165 Ratings
Development environment replication00 Ratings8.2158 Ratings
Issue monitoring and notification00 Ratings7.7166 Ratings
Issue recovery00 Ratings7.7163 Ratings
Upgrades and platform fixes00 Ratings8.1168 Ratings
Best Alternatives
AWS LambdaRed Hat OpenShift
Small Businesses
IBM Cloud Functions
IBM Cloud Functions
Score 8.1 out of 10
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Score 9.1 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 8.8 out of 10
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Score 9.1 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 8.8 out of 10
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS LambdaRed Hat OpenShift
Likelihood to Recommend
9.3
(48 ratings)
8.9
(204 ratings)
Likelihood to Renew
-
(0 ratings)
8.4
(22 ratings)
Usability
9.0
(13 ratings)
8.2
(8 ratings)
Availability
-
(0 ratings)
5.5
(1 ratings)
Performance
-
(0 ratings)
8.6
(126 ratings)
Support Rating
8.7
(20 ratings)
7.2
(8 ratings)
In-Person Training
-
(0 ratings)
6.4
(1 ratings)
Implementation Rating
-
(0 ratings)
8.6
(2 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
7.3
(3 ratings)
Professional Services
-
(0 ratings)
7.3
(1 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(1 ratings)
Vendor pre-sale
-
(0 ratings)
7.3
(1 ratings)
User Testimonials
AWS LambdaRed Hat OpenShift
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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Red Hat
I've seen multiple universities that have quite investments in Red Hat enterprise virtualization. They don't want to go with the VMware route due to the expense. So Red Hat OpenShift virtualization is a natural fit for them in that environment. I've also seen a lot of VMware customers that are not able financially to sustain the cost increases with the product. So they're looking for an alternative. And Red Hat OpenShift virtualization fills that need.
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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
  • One thing is the way how it works with the GitHubs model on an enterprise business, how the hub and spoke topology works. Hub cluster topology works the way how there is a governance model to enforce policies. The R back models, the Red Hat OpenShift virtualization that supports the cube board and developer workspace is one big feature within. So yes, these are all some features I would call out.
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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
  • So I don't know that this is a specific disadvantage for Red Hat OpenShift. It's a challenge for anything that Kubernetes face is. There's an extremely large learning curve associated with it and once you get to the point where you're comfortable with it, it's really not bad. But beating that learning curve is a challenge. I've done a couple presentations on our implementation of Red Hat OpenShift at various conferences and one of the slides I always have in there is a tweet from years ago that said, "I tried to teach somebody Kubernetes once. Now neither of us knows what it is."
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Likelihood to Renew
Amazon AWS
No answers on this topic
Red Hat
OpenShift is really easy of use through its management console. OpenShift gives a very large flexibility through many inbuilt functionalities, all gathered in the same place (it's a very convenient tool to learn DevOps technics hands on) OpenShift is an ideal integrated development / deployment platform for containers
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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
The virtualization part takes some getting used to it you are coming from a more traditional hypervisor. Customization options are not intuitive to these users. The process should be more clear. Perhaps a guide to Openshift Virtualization for users of RHV, VMware, etc. would ease this transition into the new platform
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Reliability and Availability
Amazon AWS
No answers on this topic
Red Hat
Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
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Performance
Amazon AWS
No answers on this topic
Red Hat
Openshift performance is based on the underlying infrastructure, the K8s design, and the applications' design. Cloud-native applications should have resilience baked in and should not depend on infrastructure resilience. Standard stateful apps may still depend on the underlying infrastructure. It depends on the approach.
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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
Every time we need to get support all the Red Hat team move forward looking to solve the problem. Sometimes this was not easy and requires the scalation to product team, and we always get a response. Most of the minor issues were solved with the information from access.redhat.com
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In-Person Training
Amazon AWS
No answers on this topic
Red Hat
I was not involved in the in person training, so i
can not answer this question, but the team in my org worked directly
with Openshift and able to get the in person training done easily, i did not
hear problem or complain in this space, so i hope things happen
seamlessly without any issue.
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Online Training
Amazon AWS
No answers on this topic
Red Hat
We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
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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.
Read full review
Red Hat
Our developer community is using Red Hat OpenShift for years and they are familiar and comfortable with the product. Red Hat OpenShift UI makes it easier for new developers to adopt without knowing much of Kubernetes. Our platform team feels it’s easy to mange the cluster and upgrades. Other options has more operation overhead and less friendly to developers not have in-depth knowledge of Kubernetes.
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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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Scalability
Amazon AWS
No answers on this topic
Red Hat
This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
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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
  • Positive: Reduction in physical and virtual machine footprint
  • Negative: Lack of native end to end o11y has caused a great deal of focus from our enterprise monitoring folks
  • Positive: OCP has allowed developers to have a quick and easy space to experiment
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ScreenShots