Roku Direct Publish vs Native App Model

Introduction

You can develop your Roku Channel (App) in two different ways. Either you can go for the “Direct Publish” model or you can opt for the “Native Roku App” model. There are pros and cons of selecting either of the models. In this help article, we have shown the side-by-side comparison of the features available in a Direct Publisher and Native Roku App model to help you decide which model is suitable for you. This verdict will mostly define your channel's go-to-market timeline and cost of development.

Direct Publisher Model

The direct Publisher option allows you to instantly create and publish your new channel. Without any coding required, this has an easy-to-use tool that automatically generates a fully functional Roku channel for you. If you prefer to choose speed and ease of development over more advanced feature capabilities, then this model is for you. Following are some of the advantages of the Direct Publisher Model.

• No coding is required – You simply need some basic database administration knowledge.
• Quick & Easy Review Process – It takes less time for the Roku Channel review and certification process.
• Easy Integration – No special maintenance required. The channel can incorporate with latest Roku features.
• Channel Available in Roku Universal Search – Channels developed using the Roku Publisher model are easily available in Roku search.

Native Roku App Model

You can build your own channel from the ground up by leveraging Roku's developer tools, APIs, and libraries. This method offers just about infinite UI and feature customization possibilities.

• Complete Customization Option – You have the control to completely customize your Roku Channel. You can also build the channel for cross-platform devices.
• Monetization – You can monetize your content by using multiple monetization models.
• User Authentication – You can give login access to the end-users, allow them to add their preferences, add bookmarks, etc.
• Analytics – You can have content analytics, user analytics, etc. with this model.

Head-to-Head Comparisons