Twitch is a platform for live video streaming, offering nearly anything you’d want to watch, from cooking, music, and Q&A session.
MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).MongoDB Integrations
Twitch + MongoDBCreate Document to MongoDB from New Live Stream by Streamer in Twitch Read More...
Twitch + Google SheetsAdd new rows to the Google Sheets spreadsheet for Twitch subscribers Read More...
It's easy to connect Twitch + MongoDB without coding knowledge. Start creating your own business flow.
Triggers when you receive a new follower on Twitch.
Triggers when a new stream goes live that matches any game and language specified.
Triggers when a live stream starts from streamers you specify.
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggers when you add a new field to a collection.
Create a new document in a collection of your choice.
Twitch is a live streaming video platform owned by Amazon. The service was first established in June 2011 and currently has over 1 million broadcasters and 100 million monthly viewers (“About Twitch”. Traditionally, the platform has been used to stream video gaming related content. However, the development of Twitch Creative allows for users to broadcast other forms of media such as art or music.
MongoDB is a document-oriented database designed for ease of use and high performance. It features a dynamic schema, index-free adjacency, and dynamic queries (“MongoDB”. According to Wikipedia, it “is developed by MongoDB Inc., based on earlier work on the Open Source platform known as ‘Mongo’ created by the developers behind DoubleClick and Google Mail” (Wikipedia.
Consider the fplowing scenario. A user creates a channel on Twitch to stream their creative endeavors. After a few weeks, the channel accumulates a significant number of views. The creator decides to monetize the channel through advertisements. To do this, they must create an account at AdSense. This process requires them to provide their full legal name as well as social security number. It can take up to two months for AdSense to initialize the account, during which time the creator will not be able to make money from their content. In addition, if the creator changes their legal name, they will have to manually update their information on AdSense.
If this same user used MongoDB instead of a relational database such as Postgres, they could store their data within the database itself. As well, since MongoDB acts as a document-oriented database, it would be easy to create different documents with different information. For example, one could have a document where their legal name is stored and another where their social security number is stored. In addition, if they ever change their name or need to update their social security number, they could update this information in the appropriate document without having to worry about updating their information on any external application. All they would need to do is update a single document in the database.
In the previous scenario, it took two months for someone to create an account for monetizing content on Twitch using AdSense. This was due to the fact that AdSense required the user’s full legal name and social security number. This process could have been significantly reduced if the user had access to an application that allowed them to update their information in real time without having to wait for anyone else. By using MongoDB, this application could be built using the platform’s functionality, allowing for near-instantaneous information updates. In addition, with the current setup, if someone changes their name or social security number, they would have to create new accounts on all of their third party applications. In contrast, if these changes were made in MongoDB, they could simply update their information in the document. This would eliminate the need to register anywhere else while still allowing third parties access to all of their information via MongoDB.
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