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
Salesforce Lightning Platform
Score 7.7 out of 10
N/A
Salesforce Platform is designed for building and deploying scalable cloud applications with managed hardware provisioning and app stacks. It provides out-of-the-box tools and services to automate business processes, integrate with external apps, and provide responsive layouts and more.
$25
Per User Per Month
Pricing
AWS Lambda
Salesforce Lightning Platform
Editions & Modules
128 MB
$0.0000000021
Per 1 ms
1024 MB
$0.0000000167
Per 1 ms
10240 MB
$0.0000001667
Per 1 ms
Starter
$25.00
Per User Per Month
Plus
$100.00
Per User Per Month
Offerings
Pricing Offerings
AWS Lambda
Salesforce Lightning Platform
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
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AWS Lambda
Salesforce Lightning Platform
Features
AWS Lambda
Salesforce Lightning Platform
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
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.
We use Salesforce Lightning Platform in everyday business as sales coordinators. By using this tool, we are able to send new requests to clients and communicate regarding pending proposals in real-time. This also tool holds many of our client accounts where we are able to monitor their sales and revenue.
AWS Lambda is a welcoming platform, supporting several languages, including Java, Go, PowerShell, Node.js, C#, Python, and Ruby. And if you need to deploy a Lambda function in another language, AWS offers a Runtime API for integration.
We really appreciate how AWS Lambda is always-on for our functions, with only a brief "cold-start" waiting period the first time a function is called after being dormant.
In addition to only generating costs when it's actually being used, AWS Lambda really puts the "serverless" in serverless architecture, offering turnkey scaleability and high availability for our code with zero effort on our part.
Reporting and Dashboards are thorough and can show a wealth of important data to inform and scale processes. It's helpful in a high volume sales cycle to be able to quickly identify weak points in performance and productivity so that adjustments can be made.
Highly customizable. We are able to customize just about everything which allows us to track very specific things and in theory create better efficiency.
Parent/Child account hierarchy exists which is helpful.
Contact records can be associated with multiple accounts and opportunities. This, in theory, should minimize duplicates and mismanagement of contacts.
Console helps a lot with data nesting. Having a fairly comprehensive look at an account without searching through various tabs and sections speeds up an otherwise cumbersome platform.
The UI and Developer experience is not so great. IF you use an abstraction like Serverless Application Model (SAM), things get pretty easy, but it's still AWS UI/DX you're working with after that (which is to say, not their strength).
Documentation is always a mixed bag. Sometimes it's just easier to google your specific problem and see how others have solved it. This can be much faster than trying to find an example that may or may not be there in the documentation (which oftentimes has multiple versions and revisions).
It is very easy to get started with AWS Lambda and create your first function. The user interface makes it easy to add AWS services to be inputs or outputs to the function, meaning it can be configured in many different ways for different needs. This makes it ideal for various scenarios in AWS.
UI can be quite complex, but the more that is required will bring more complexity. Can handle complexity and variety very well, but makes ground-level views harder when not knowing full extent of functionality. Finding new functionalities can be difficult to pinpoint on some pages
As this is a product where a great part of errors can be at the source code level, AWS support team doesn't dive that further. I mean they don't evaluate problems more complex related to your code, [which] is totally understandable, but this make[s] debug process more tough and painful.
Salesforce's support is top-notch. They have subject-matter experts that are accessible at all times to address needs as they come up. They let you know in advance when there are system updates and enhancements so that you are prepared for upcoming changes. I've never had an issue that wasn't addressed immediately when reaching out for support.
It's fine, it works as the others would have, except EC2. We are migrating back to EC2 for dedicated compute because we have scaled to a point where we have consistent traffic. The tradeoff of maintaining infrastructure in-house outweighs the benefits of moving quickly through our roadmap.
We were previously using an older version prior to it becoming Salesforce Lightning Platform so we were well adverse on the advantages of using a CRM, to begin with. It made sense to convert to Salesforce Lightning Platform after we were given a free trial of the platform. Certain reps were chosen to experiment with it and from there a decision was made to move forward. We've been customers ever since.
We have simplified log fiie ingestion using Lambda functions. The return has been less time worrying about getting logs from source to ingestion; one the process is in place the team is nearly 100% hands off.
We have begun taking a more API focused approach by using API Gateway as the interface to business processes and Lambda as the back end compute. Moving away from server based back ends places us on a path to reducing overall spend in compute costs.
Lambda functions allow us to easily interface with third party services through APIs. This simplifies access management since the function can be granted permissions and access to the function can be gated with API keys and other authentication methods.