StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Fission vs Nuclio

Fission vs Nuclio

OverviewComparisonAlternatives

Overview

Fission
Fission
Stacks27
Followers81
Votes3
GitHub Stars8.8K
Forks788
Nuclio
Nuclio
Stacks16
Followers48
Votes11
GitHub Stars5.6K
Forks554

Fission vs Nuclio: What are the differences?

Key Differences between Fission and Nuclio

Fission and Nuclio are both serverless computing frameworks that provide developers with efficient tools for building and deploying applications. However, there are several key differences that set them apart.

  1. Programming Language Support: Fission supports a wide range of programming languages including Python, Go, Node.js, and Ruby, allowing developers to choose the language they are most comfortable with. On the other hand, Nuclio primarily focuses on Go, offering better performance for Go-based applications.

  2. Scalability Model: Fission follows a request-based scalability model where each request triggers the execution of a function. This allows for dynamic scaling and optimal resource utilization. In contrast, Nuclio follows a function-based scalability model, enabling fine-grained control over the scaling of individual functions. This makes Nuclio well-suited for highly specific and varied workload requirements.

  3. Event Sources: Fission integrates seamlessly with a variety of event sources, such as HTTP requests, time-based triggers, and message queues, making it flexible for different use cases. Nuclio, on the other hand, primarily focuses on event-driven architectures and provides built-in support for event sources like Kafka and NATS streaming. This makes Nuclio a good choice for real-time streaming applications.

  4. Deployment Model: Fission supports both platform-as-a-service (PaaS) deployment and Kubernetes-native deployment. This means that developers can choose to deploy their applications on traditional cloud providers or on-premises Kubernetes clusters. Nuclio, however, is designed specifically for Kubernetes-native deployments and tightly integrates with Kubernetes features such as custom resource definitions (CRDs) and namespaces.

  5. Monitoring and Observability: Fission provides basic monitoring capabilities out of the box, allowing developers to track function invocations and resource utilization. Additionally, Fission integrates with popular observability tools such as Prometheus and Grafana for enhanced monitoring. Nuclio, on the other hand, offers more advanced observability features, including built-in metrics and tracing capabilities, making it easier to monitor and debug applications.

  6. Community and Ecosystem: Fission has an active and growing community of contributors and users, with a relatively large ecosystem of plugins and integrations. It benefits from the wider Kubernetes community and can leverage existing Kubernetes tools and resources. Nuclio, although newer to the scene, has gained traction and has a growing community. However, its ecosystem is still developing and may have fewer integrations and plugins compared to Fission.

In summary, Fission and Nuclio differ in their programming language support, scalability models, event source integrations, deployment models, monitoring capabilities, and community ecosystems. Depending on specific application requirements and preferences, developers can choose the framework that aligns best with their needs.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Fission
Fission
Nuclio
Nuclio

Write short-lived functions in any language, and map them to HTTP requests (or other event triggers). Deploy functions instantly with one command. There are no containers to build, and no Docker registries to manage.

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

-
Real-time performance; Simple debugging, regression and a multi-versioned CI/CD pipeline; Supports a large variety of open or cloud-specific event and data sources with common APIs; Portable across low-power devices, laptops, on-premises and public clouds
Statistics
GitHub Stars
8.8K
GitHub Stars
5.6K
GitHub Forks
788
GitHub Forks
554
Stacks
27
Stacks
16
Followers
81
Followers
48
Votes
3
Votes
11
Pros & Cons
Pros
  • 1
    Open source
  • 1
    Portability
  • 1
    Any language
Pros
  • 1
    Enterprise grade
  • 1
    Open source
  • 1
    Performance
  • 1
    Parallelism
  • 1
    Autoscaling
Integrations
Kubernetes
Kubernetes
Docker
Docker
Kubernetes
Kubernetes
Docker
Docker
Google Kubernetes Engine
Google Kubernetes Engine
Azure Container Service
Azure Container Service

What are some alternatives to Fission, Nuclio?

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

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.

Cloud Functions for Firebase

Cloud Functions for Firebase

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.

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase