I am a new web developer and have some questions regarding MongoDB.
The site I am working on uses references that saved data locally with MongoDB. But after doing some research, I saw something called MongoDB Atlas, which saves data to a cloud. I guess my question is, if I were to host a website would it matter which one I chose to use? Or would I be restricted to Atlas? And why would someone pick one over the other?
To Summarize: I would recommend MongoDB Atlas to every person/company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks.
MongoDB Atlas is a multi-cloud database service by the same people that build MongoDB. Atlas simplifies deploying and managing your databases while offering the versatility you need to build resilient and performant global applications on the cloud providers of your choice.
MongoDB Atlas belongs to "MongoDB Hosting" category of the tech stack, while MongoDB Compass can be primarily classified under "Database Tools". Some of the features offered by MongoDB Atlas are: Global clusters for world-class applications. Support for 60+ cloud regions across AWS, Azure, & GCP.
MongoDB Atlas is a fully-managed cloud database that handles all the complexity of deploying, managing, and healing your deployments on the cloud service provider of your choice (AWS , Azure, and GCP). MongoDB Atlas is the best way to deploy, run, and scale MongoDB in the cloud.
MongoDB Atlas belongs to "MongoDB Hosting" category of the tech stack, while MongoDB Compass can be primarily classified under "Database Tools". Global clusters for world-class applications.
Elasticsearch vs MongoDB Atlas Search Atlas Search combines three systems - database, search engine, and sync mechanisms - into one to deliver application search experiences 30-50% faster.
All data from the MongoDB web application is automatically stored in the Atlas cloud. Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding. What is MongoDB Atlas? MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB.
MongoDb Atlas is a MongoDb server hosting provided by the same guys who make MongoDb (which means they typically know what they're doing). It's handy to use because everything is automatically configured for you, you get some dashboards, monitoring, backup, upgrades, etc. They have a free layer also (aka M0, it has some important restrictions though, read more at their site). As usual with Cloud offerings, they have good pricing for starters, but these can skyrocket if you're operating at significant scale.
If you choose to install MongoDb server "locally", you would need to configure the cluster yourself (althougth there are plenty of e.g. pre-configured MongoDb docker images out there), configure the backup, arrange monitoring, etc. A lot of work, if you want to do it properly.
Considering above, here is my advice...
Choose MongoDb Atlas when:
Choose manual installation of MongoDb when:
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