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
Mashery (now part of Boomi)
Score 9.9 out of 10
N/A
Mashery, for a time sold as TIBCO Cloud API Management, was an API management solution whose former capabilities have been added to Boomi's enterprise platform.
N/A
Pricing
AWS Lambda
Mashery (now part of Boomi)
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 Lambda
Mashery (now part of Boomi)
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
Additional Details
—
—
More Pricing Information
Community Pulse
AWS Lambda
Mashery (now part of Boomi)
Features
AWS Lambda
Mashery (now part of Boomi)
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Lambda excels at event-driven, short-lived tasks, such as processing files or building simple APIs. However, it's less ideal for long-running, computationally intensive, or applications that rely on carrying the state between jobs. Cold starts and constant load can easily balloon the costs.
Mashery is great when it comes to deployment to your own datacenter and when it comes to managing third party API's like Salesforce using Mashery Cloud version. I would be a little bit more careful when deploying it on Kubernetes as it was not designed for it. New version 5 is re-architected to run more on natively on Kubernetes, but we have not tested it yet.
Developing test cases for Lambda functions can be difficult. For functions that require some sort of input it can be tough to develop the proper payload and event for a test.
For the uninitiated, deploying functions with Infrastructure as Code tools can be a challenging undertaking.
Logging the output of a function feels disjointed from running the function in the console. A tighter integration with operational logging would be appreciated, perhaps being able to view function logs from the Lambda console instead of having to navigate over to CloudWatch.
Sometimes its difficult to determine the correct permissions needed for Lambda execution from other AWS services.
The "Control Center" admin dashboard is not performant. We have a lot of configuration data in Mashery (many endpoints, many plans, many users, many keys, etc.) and the website struggles with the volume of data it has to deal with.
Their systems have limitations that make it more difficult for us to operate the way we would like. For example, there is a limit to the number of API Definitions we can create, as well as a limit to the number of Endpoints we can define in a Plan.
Their support organization leaves a lot to be desired. Responses are slow, and when they do come they are often inadequate. We have to re-phrase the question to get them to answer it differently, or we have to repeatedly follow up to ask for additional clarifying information.
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.
i find some of the package adding and key are complex . UI experience is bad . Every step need front and backward navigation too much. It would be better if endpoint itself contain package and key addiction option
Amazon consistently provides comprehensive and easy-to-parse documentation of all AWS features and services. Most development team members find what they need with a quick internet search of the AWS documentation available online. If you need advanced support, though, you might need to engage an AWS engineer, and that could be an unexpected (or unwelcome) expense.
AWS Lambda is good for short running functions, and ideally in response to events within AWS. Google App Engine is a more robust environment which can have complex code running for long periods of time, and across more than one instance of hardware. Google App Engine allows for both front-end and back-end infrastructure, while AWS Lambda is only for small back-end functions
I've really only looked at Mashery since it has been around a very long time and has a rich feature set. I do know our platform teams are looking into AWS gateway but not sure this product has everything we need.
Positive - Only paying for when code is run, unlike virtual machines where you pay always regardless of processing power usage.
Positive - Scalability and accommodating larger amounts of demand is much cheaper. Instead of scaling up virtual machines and increasing the prices you pay for that, you are just increasing the number of times your lambda function is run.
Negative - Debugging/troubleshooting, and developing for lambda functions take a bit more time to get used to, and migrating code from virtual machines and normal processes to Lambda functions can take a bit of time.
As a API Mediation layer it has helped with the troublesome port setup with internal and external clients. Meaning it made that easy to the client that they know where to go for access to an API.
The interactive documentation is very well put together and has reduced the time that developers have to go back and forth with each other to figure how to call the API.
