Map-reduce is a data processing paradigm for condensing large volumes of data into useful aggregated results. Documents enter a multi-stage pipeline that transforms the documents into aggregated results. The aggregation pipeline is a framework for data aggregation modeled on the concept of data processing pipelines. MongoDB provides three ways to perform aggregation: the aggregation pipeline, the map-reduce function, and single-purpose aggregation methods. Aggregation operations group values from multiple documents together and can perform a variety of operations on the grouped data to return a single result. Update operations modify existing documents in a collection.ĭelete operations remove documents from a collection.Īggregation operations process data records and return computed results. Read operations retrieve documents from a collection i.e. If the collection does not currently exist, insert operations will create the collection. Collections are analogous to tables in relational databases.Ī MongoDB view is a queryable object whose contents are defined by an aggregation pipeline on other collections or views.ĬRUD operations create, read, update, and delete documents.Ĭreate or insert operations add new documents to a collection. There are various mongo shell commands available to manage databases. In MongoDB, databases hold one or more collections of documents. ![]() By learning those concepts developer will have a good command over MongoDB. This step includes basic and advanced concepts of MongoDB. However, MongoDB Compass is maintained by MongoDB, and most importantly, it's free. Even if they are paid they still provide good features in the free tier. NoSQL Booster, Studio 3T & Robo 3T are my personal recommendations. Out of these tools, most of them are paid and comes as desktop apps. By understanding the need I have shortlisted some best GUI Client tools as given below. MongoDB has a shell and it works well for managing administrative tasks but while working with larger data it becomes important to use UI tools. UI plays an important role in development. Mongoose and MongoDB Native are my personal recommendations. Out of these drivers, all are open-sourced and popular. In my case, I had to connect Node.js to MongoDB so let’s see the best MongoDB Drivers for Node.js below. The driver features an asynchronous API that allows you to access method return values through Promises or specify callbacks to access them when communicating with MongoDB. Database Driversĭatabase Drivers allows applications to connect to MongoDB and work with data. Moon Modeler, DBeaver & Adminer are my personal recommendation. Out of these tools, most of them are desktop applications and open-sourced.
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