Struggling to choose between Heroku and Knative? Both products offer unique advantages, making it a tough decision.
Heroku is a Online Services solution with tags like paas, cloud-computing, application-deployment.
It boasts features such as Cloud platform as a service, Simplifies deployment, management and scaling, Supports popular languages like Ruby, Java, Node.js, Scala, Clojure, Python and PHP, Add-ons provide additional services like databases, monitoring, logging, etc, Git-based workflow for deploying code changes, Free starter tier available and pros including Easy and fast deployment, Automatic scaling, Focus on writing code without infrastructure management, Reliable and secure platform, Integrates with other Salesforce products, Large ecosystem of add-ons.
On the other hand, Knative is a Development product tagged with kubernetes, serverless, containers, open-source.
Its standout features include Serverless containers, Event-driven scale to zero, Autoscaling, Revision tracking, Traffic splitting, Service discovery, and it shines with pros like Simplifies deploying and running serverless workloads on Kubernetes, Built-in autoscaling, Open source and cloud agnostic, Integrates with Istio for traffic management, Active community and contributor support.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Heroku is a cloud platform as a service (PaaS) that simplifies application deployment, management, and scaling. Acquired by Salesforce, Heroku allows developers to focus on writing code by providing an easy-to-use platform for building, deploying, and scaling applications without the need for complex infrastructure management.
Knative is an open source Kubernetes-based platform for deploying and running serverless workloads. It simplifies event-driven or scale-to-zero architectures on Kubernetes clusters.