IBM Cloud Functions vs Google Cloud Functions

February 28, 2022

Introduction

Serverless computing has become a buzzword in the world of cloud computing. Many cloud providers offer serverless computing services. In this blog post, we will be comparing two popular serverless computing services: IBM Cloud Functions and Google Cloud Functions.

IBM Cloud Functions

IBM Cloud Functions, formerly known as IBM OpenWhisk, is a Function-as-a-Service (FaaS) platform that allows developers to run code in response to events without worrying about the underlying infrastructure. IBM Cloud Functions supports popular programming languages such as Node.js, Python, and Java.

IBM Cloud Functions has a free tier that offers 400,000 GB-seconds of compute time per month, 1,000,000 function invocations per month, and 1,000,000 GB of data transfer per month. Beyond the free tier, users pay $0.000017 per GB-second of compute time and $0.0000002 per function invocation.

Google Cloud Functions

Google Cloud Functions is Google's serverless computing offering, which allows developers to write and run code without worrying about the underlying infrastructure. Google Cloud Functions supports popular programming languages such as Node.js, Python, and Go.

Google Cloud Functions has a free tier that offers 2 million invocations per month, 400,000 GB-seconds of compute time per month, and 5 GB of internet egress traffic per month. Beyond the free tier, users pay $0.0000025 per GB-second of compute time, $0.40 per 1 million invocations, and $0.12 per GB of egress traffic.

Comparison

Feature IBM Cloud Functions Google Cloud Functions
Free tier 400,000 GB-seconds 400,000 GB-seconds
1,000,000 invocations 2,000,000 invocations
1,000,000 GB transfer 5.00 GB egress traffic
Programming languages Node.js, Python, Java Node.js, Python, Go
Pay-per-use rates $0.000017 per GB-sec $0.0000025 per GB-sec
$0.0000002 per invoc $0.40 per 1 million inv
N/A $0.12 per GB egress

As we can see, both IBM Cloud Functions and Google Cloud Functions are very similar in terms of pricing and features. However, IBM Cloud Functions charges a slightly higher rate for compute time and function invocations compared to Google Cloud Functions.

Conclusion

Choosing between IBM Cloud Functions and Google Cloud Functions ultimately depends on the user's specific development requirements. Both services offer a wide range of programming languages, integrations, and pricing plans that can accommodate most developer needs.

We hope this comparison helps you make an informed decision about which serverless computing service is right for your project.

References


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