Is MongoDB good for large applications?

Question

MongoDB is best suited for Big Data where resulting data need further manipulations for the desired output. Some of the powerful resources are CRUD operations, aggregation framework, text search, and the Map-Reduce feature. 23 окт. 2019 г.

Is MongoDB good for big projects?

MongoDB's scale-out architecture can support huge numbers of transactions on humongous databases. Unlike other databases that either cannot support such scale or can only do so with massive amounts of engineering and additional components, MongoDB has a clear path to scalability because of the way it was designed.

Is MongoDB good for large database?

Because of these distinctive requirements, NoSQL (non-relational) databases, such as MongoDB, are a powerful choice for storing big data.

For what kind of applications MongoDB is most suitable?

MongoDB is widely used for storing product information and details by finance and e-commerce companies. You can even store the product catalogue of your brand in it. MongoDB can also be used to store and model machine-generated data. For this, you can learn the “Storing Log data” document.

Can MongoDB handle millions of records?

Working with MongoDB and ElasticSearch is an accurate decision to process millions of records in real-time. These structures and concepts could be applied to larger datasets and will work extremely well too.

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