AWS Lambda vs. MuleSoft Anypoint Platform

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
Anypoint Platform
Score 8.0 out of 10
N/A
The Anypoint Platform developed by MuleSoft and acquired by Salesforce in early 2018 is designed to connect apps, data, and devices anywhere, on-premises or in the cloud. This platform was built to offer out-of-the-box connectors as well as tools that architects and developers can adopt quickly to design, build and manage the entire lifecycle of their APIs, applications, and products.N/A
Pricing
AWS LambdaMuleSoft Anypoint Platform
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 LambdaAnypoint Platform
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 LambdaMuleSoft Anypoint Platform
Considered Both Products
AWS Lambda

No answer on this topic

Anypoint Platform
Chose MuleSoft Anypoint Platform
Once we have moved all of our system integration APIs to the MuleSoft Anypoint Platform, we will need to communicate with a wide variety of external systems. All of our business and service logic is stored in the aforementioned core systems. Anypoint Platform (and all of our …
Chose MuleSoft Anypoint Platform
We selected Mulesoft for speed of implementation. We did not have the luxury of time and needed a solution that can be learned and implemented within weeks so we can take advantage of newly formed partnerships. The training that was provided to use during our pre-sales and …
Top Pros
Top Cons
Features
AWS LambdaMuleSoft Anypoint Platform
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
MuleSoft Anypoint Platform
-
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
MuleSoft Anypoint Platform
-
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
MuleSoft Anypoint Platform
-
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
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
AWS Lambda
-
Ratings
MuleSoft Anypoint Platform
8.6
10 Ratings
6% above category average
Pre-built connectors00 Ratings8.810 Ratings
Connector modification00 Ratings8.510 Ratings
Support for real-time and batch integration00 Ratings8.510 Ratings
Data quality services00 Ratings8.310 Ratings
Data security features00 Ratings8.510 Ratings
Monitoring console00 Ratings9.010 Ratings
Best Alternatives
AWS LambdaMuleSoft Anypoint Platform
Small Businesses
IBM Cloud Functions
IBM Cloud Functions
Score 8.1 out of 10
Make
Make
Score 9.3 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 8.8 out of 10
Azure Logic Apps
Azure Logic Apps
Score 8.9 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 8.8 out of 10
Azure Logic Apps
Azure Logic Apps
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS LambdaMuleSoft Anypoint Platform
Likelihood to Recommend
9.3
(48 ratings)
9.1
(20 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
9.0
(13 ratings)
8.0
(1 ratings)
Support Rating
8.7
(20 ratings)
6.8
(4 ratings)
User Testimonials
AWS LambdaMuleSoft Anypoint Platform
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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Salesforce
MuleSoft Anypoint Platform is best tool in the market for developing APIs with complex structures communicating with various different types of applications including web applications as well as legacy applications. Also applications including database connectivity for fetching and updating data in the DB tables. I cant think of any scenario which MuleSoft Anypoint Platform could not be used for developing the integrations.
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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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Salesforce
  • API Manager provides easy API Policy Governance. You do not have to manage multiple platforms for managing the policies.
  • Supports hybrid Mule EBS environments. You can configure both CouldHub-based and on-premise-based API using Mulesoft API manager in a similar manner.
  • It's very easy to implement API proxy.
  • User friendly UI.
  • Single platform to manage all.
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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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Salesforce
  • Has more features than what we really need so we're paying for more than we use. Sort of like paying for an Abrams tank when all we really need is a Toyota Corolla.
  • Not a value product, tends to be expensive.
  • Takes a while for developers to learn to use Mulesoft Anypoint.
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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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Salesforce
simple and easy graphics and containers helps developers to write complex flows
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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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Salesforce
Anypoint Platform support is very responsive. There is also a huge knowledge base and an active online forum where answers to most questions can be found. When needed support engages the engineering group so adequate solutions or workarounds are always provided.
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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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Salesforce
Once we have moved all of our system integration APIs to the MuleSoft Anypoint Platform, we will need to communicate with a wide variety of external systems. All of our business and service logic is stored in the aforementioned core systems. Anypoint Platform (and all of our APIs) makes it easy to connect to various other platforms. In order to link to these many other systems, connectors and/or components are utilized, and they are simple to configure and integrate.
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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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Salesforce
  • Mulesoft can be used to provide an integration platform to a large number of systems like Salesforce, ODBC, JDBC, SAP, Mongo DB, etc.
  • An excellent option to develop microservices and real-time integrations.
  • Not as robust in handling large data volumes, Informatica is better in that respect.
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ScreenShots

Anypoint Platform Screenshots

Screenshot of Connect any endpoints using out-of-the-box connectors, dynamic connectivity to API specifications, or by building reusable connectors with Anypoint DevKit™.Screenshot of A reporting suite that provides a real-time view of API consumption trends and operational performance. Analytics provides insight into how your API is being used and informs forward-looking design decisions.Screenshot of A platform to engage with API developers and drive adoption. Share documentation, examples and manage developer access from a single platform.