Best Serverless Platforms for YepCode

Compare the Top Serverless Platforms that integrate with YepCode as of January 2026

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This a list of Serverless platforms that integrate with YepCode. Use the filters on the left to add additional filters for products that have integrations with YepCode. View the products that work with YepCode in the table below.

What are Serverless Platforms for YepCode?

Serverless platforms are cloud computing services that allow developers to build and deploy applications without managing the underlying infrastructure, such as servers or virtual machines. These platforms automatically handle the scaling, provisioning, and maintenance of resources, allowing developers to focus on writing code and implementing business logic. Serverless platforms typically provide a pay-as-you-go pricing model, where users only pay for the actual resources used during execution rather than for idle time. Features of serverless platforms include automatic scaling, event-driven architecture, and support for various programming languages and services. Popular serverless platforms are commonly used for web applications, microservices, APIs, and data processing. Compare and read user reviews of the best Serverless platforms for YepCode currently available using the table below. This list is updated regularly.

1

MongoDB

MongoDB

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.

20 Ratings

Starting Price: Free

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2

Supabase

Supabase

Create a backend in less than 2 minutes. Start your project with a Postgres database, authentication, instant APIs, real-time subscriptions and storage. Build faster and focus on your products. Every project is a full Postgres database, the world's most trusted relational database. Add user sign-ups and logins, securing your data with Row Level Security. Store, organize and serve large files. Any media, including videos and images. Write custom code and cron jobs without deploying or scaling servers. There are many example apps and starter projects to get going. We introspect your database to provide APIs instantly. Stop building repetitive CRUD endpoints and focus on your product. Type definitions built directly from your database schema. Use Supabase in the browser without a build process. Develop locally and push to production when you're ready. Manage Supabase projects from your local machine.

Starting Price: $25 per month

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3

AWS Lambda

Amazon

Run code without thinking about servers. Pay only for the compute time you consume. AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. AWS Lambda automatically runs your code without requiring you to provision or manage servers. Just write the code and upload it to Lambda. AWS Lambda automatically scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload.

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