Compare Serverless Products
Estimates based on serverless:talent research team. Source: Product's Website
With Vercel, you can deploy Serverless Functions, which are pieces of code written with backend languages that take an HTTP request and provide a response.
Azure Functions allows developers to take action by connecting to data sources or messaging solutions thus making it easy to process and react to events. Developers can leverage Azure Functions to build HTTP-based API endpoints accessible by a wide range of applications, mobile and IoT devices.
Three tiers: Hobby (Free), Pro and Enterprise.
Azure Functions consumption plan is billed based on per-second resource consumption and executions. Consumption plan pricing includes a monthly free grant of 1 million requests and 4,00,000 GB-s of resource consumption per month per subscription in pay-as-you-go pricing across all function apps in that subscription. Azure Functions Premium plan provides enhanced performance and is billed on a per second basis based on the number of vCPU-s and GB-s your Premium Functions consume.
Incredibly accessible with Node.js.
Automatized by the server.
The Vercel Platform acts as a Universal API and Overlay Network on top of existing cloud infrastructure providers.
Automated backups every hour.
SAO/SAML Login, Scalable DDoS Mitigation, HTTPS/SSL by default, Enterprise Edge Network and Global Resiliency.
Azure supports multiple functions concurrently provided operations take place simultaneously within a single data partition. The number of concurrent activity and executions is capped at 10X depending upon the number of cores in the VM level. The execution time limit is 600 seconds or 10 minutes.
Vercel is the best place to deploy any frontend app. Start by deploying with zero configuration to our global edge network.
Azure Functions claims to scale 200 instances for a single Node.js function, it fails to do so in practice. When put to test, it was only able to scale 10 function instances concurrently for a single function.
It took a long time for the Azure instances to launch despite 1.5 GB of memory being allocated to them. Median cold start latency was observed at 3640 ms in Azure.
Go,Python,Ruby on Rails