NodeJS is a JavaScript-based backend framework for web applications. It enables fast, scalable, and efficient development with high concurrency and data streams. Choosing the right database for NodeJS applications is a challenge for developers. A database should store and manage the data, handle the volume and velocity of data, provide the features and functionality you need, and be compatible, easy, secure, and reliable with NodeJS.

To update a document in MongoDB, I used to fetch it, update the values, and save back the entry. I would question the need for an update method. Looking back, it's evident that performance optimizations were hardly a concern when working on a personal project. Working with a larger dataset is a whole different story, though. This is where no-code tools can't help. In this article, I'll share some of my learnings when it comes to working in MongoDB with millions of documents.

Have you ever wondered how massive business and consumer apps handle that kind of scale with concurrent users? To deploy high-performance applications at scale, a rugged operational database is essential. Cloudera Operational Database (COD) is a high-performance and highly scalable operational database designed for powering the biggest data applications on the planet at any scale.

Learn the five quick and easy steps to setup database connectors.