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  1. Stackups
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  3. Serverless
  4. Serverless Task Processing
  5. Cloud Functions for Firebase vs Seed

Cloud Functions for Firebase vs Seed

OverviewComparisonAlternatives

Overview

Cloud Functions for Firebase
Cloud Functions for Firebase
Stacks470
Followers397
Votes6
Seed
Seed
Stacks130
Followers81
Votes0

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Detailed Comparison

Cloud Functions for Firebase
Cloud Functions for Firebase
Seed
Seed

Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

It makes it painless for teams to use Serverless. Our custom deployment infrastructure can speed up your deployments 100x. And our dashboard makes it easy to manage your environments.

-
Incremental deploys; Zero config pipelines; Connect your workflow; Real-time Lambda alerts
Statistics
Stacks
470
Stacks
130
Followers
397
Followers
81
Votes
6
Votes
0
Pros & Cons
Pros
  • 4
    Up and running
  • 1
    Affordable
  • 1
    Multi-region
No community feedback yet
Integrations
Firebase
Firebase
Google Cloud Storage
Google Cloud Storage
Google Cloud Functions
Google Cloud Functions
GitHub
GitHub
Bitbucket
Bitbucket
Travis CI
Travis CI
GitHub Actions
GitHub Actions

What are some alternatives to Cloud Functions for Firebase, Seed?

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Azure Functions

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Serverless

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

AWS Batch

AWS Batch

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.

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