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
OCI API Management
Score 7.8 out of 10
N/A
Oracle Cloud Infrastructure (OCI) provides a comprehensive set of services to manage the lifecycle of APIs (application programming interfaces). The built-in tools let developers to collaborate on prototyping, testing, and validating APIs.
$3
per month per 1 Million API calls
Pricing
AWS Lambda
OCI API Management
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
OCI API Management
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
OCI API Management
Features
AWS Lambda
OCI API Management
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.
Oracle API Manager is well suited in a business or company that make use of Apis to facilitate access of backend services and data sources by the staff or customers or both. It is also imported in situations where all actions in a system need to be attributed to specific users.
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.
Absence of Role-Based Access. A finer grain control on what type of users can call certain API Endpoints is needed.
Performance with third-party databases isn't as fast as using Oracle Database.
Long learning curve. Although Oracle API Manager provides performance and a vast deal of features, a certain level of expertise is required to effectively make use of them.
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.
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
Oracle API Manager is much easier to learn and understand then IBM Data Power Gateway and IBM API Connect. We selected Oracle API Manager in our company because to have a good intuitive interface with drag and drop features and because beginners and easily get up to speed to use this tool.
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.
Oracle API Manager supports both REST & SOAP API's.
Secure and attributable connection to back-end services and data sources. In addition to creating API's for querying data, you can also create API endpoints that can manipulate the data in the back-end databases.
Although Oracle API Manager provides performance and a vast deal of features, to start with it is really important you train your people working on development, deployment and administrators to effectively use Oracle API Manager.