Vimeo is a video-sharing platform that allows members to view, upload and share videos. It has a lot of privacy and group features.
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
It's easy to connect Vimeo + MongoDB without coding knowledge. Start creating your own business flow.
Taggers when you likes a video.
Triggers when new video is added that matches the search.
Triggers when a user (your choice) posted a video.
Triggers when i added a video
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.
Upload a video on your vimeo account.
Create a new document in a collection of your choice.
In the world of online video, Vimeo has been a popular choice for people to share their work and connect with others. With an active community of more than 30 million members, it remains a platform for all kinds of creative expression. Today, we’re pleased to announce a new integration with MongoDB Atlas, making it easier for Vimeo users to take advantage of the speed, scalability, and security that come with MongoDB. In this post, we’ll look at how Vimeo is using MongoDB to help them grow their community and improve the experience for their users.
What Is Vimeo?
Founded by a group of filmmakers frustrated with traditional online video services, Vimeo was designed from the ground up to be a home for all forms of creative expression. They wanted a platform where anyone could upload videos and share them with friends or create a subscription service for fans. And they wanted a place where passionate people could learn from each other and connect through shared interests.
With more than 30 million members and nearly 4 billion lifetime views, Vimeo is one of the most popular destinations for online video. It’s also home to thousands of communities centered around creativity and inspiration, including film festivals, art galleries, filmmaking tips, music lessons, and many more.
What Is MongoDB?
MongoDB Atlas is our fully-managed database as a service – offering all the benefits of MongoDB combined with the simplicity and flexibility of the cloud. Atlas automates key operational tasks so you can focus on building the next great application. It offers 24×7 support from our team of experts as well as backup and monitoring services – making it easier to get started and sleep better at night. There’s no hardware to provision or to maintain – you don’t even need to install software! Simply spin up a cluster in a few clicks and you’re ready to go. Data is encrypted at rest and in transit using industry standard best practices. There are also built-in security features like LDAP authentication and Rpe-Based Access Contrp to ensure that access to your data is contrpled at both the database level and user level. Finally, MongoDB Atlas is backed by a 99.99% Service Level Agreement (SLA), which means you can count on it being up 24×7 – 365 days a year. You can learn more about Atlas here.
Why Vimeo Chose Atlas for Their MongoDB Deployment
Vimeo has a mission of helping people everywhere express themselves through creativity and connection – so it’s only natural that they want their users to have a great experience when uploading content or accessing media from their account page. With a huge number of uploads every day – many of which are large files – Vimeo needed to find an easy way to scale their storage capabilities without having to worry about managing physical servers or struggling with downtime. This is where MongoDB Atlas came in handy. It allowed Vimeo to integrate MongoDB into their stack with minimal effort, while still maintaining contrp over their environment at the same time. Specifically, they used Atlas because:
It enabled them to easily set up scalable storage without having to manage hardware; It made it simple for them to replicate data across multiple regions; It allowed them to focus on building new features rather than worrying about infrastructure; And it gave them end-to-end encryption for all data stored in Atlas – making compliance easier than ever before.
Vimeo’s Use Case. An Integration with MongoDB Atlas
Vimeo uses MongoDB Atlas to store videos uploaded by customers so that they can be viewed later or downloaded for offline playback on mobile devices. These videos are stored in different buckets based on their category (e.g., comedy, music videos, etc.. so that users can browse them easily without having to wade through content that they don’t care about. Every time a new video is uploaded by a Vimeo user, it is processed by an app running on top of Atlas before being pushed out to the appropriate bucket in their storage system. Here are some key elements of this process:
The app pulls the data from the user’s Vimeo account via an API call; The app then transforms this data into YAML format using an open source package called yaml-cpp before writing it out to an archive file (.tar file); The app uses Atlas’s query language (MongoDB Stitch. to read the archive file back into memory; Once it has loaded all the relevant data into memory, Stitch will convert the data into JSON format before writing it into the appropriate bucket in the storage system; A separate script will then run each time new data needs to be added to the storage system – allowing users to upload new videos at any time of day or night without having to worry about impacting system performance or availability; And finally, Stitch will ppl the storage system for changes or notifications related to video storage – allowing new copies of videos to be downloaded whenever new versions are available.
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