MongoDB is a document-oriented database that falls into the category of NoSQL databases. It stores data in documents rather than tables and uses a flexible schema to manage the data. MongoDB is designed to be scalable, highly available, and fast. It is widely used in applications that demand real-time data processing and large amounts of unstructured data.
Example: Consider an e-commerce website that stores the details of the products, user details, reviews, and order details. A traditional database system would have to maintain separate tables for each of these entities, and each table may have different fields. In MongoDB, all these entities can be grouped together in a single database and stored as documents. Each document can contain all the relevant information for a specific entity, and new fields can be added as required without having to modify the entire schema. For instance, a product document in MongoDB can have fields like name, description, price, reviews, and ratings. This saves storage space and query time since MongoDB indexes documents instead of individual fields.
MongoDB is a document-oriented NoSQL database that is open-source, schema-free, and written in C++.
It stores data in documents that are formatted in JSON-like BSON format and can have nested documents.
MongoDB supports various types of indexes, including text, geo-spatial, and hash.
It has auto-sharding, which allows horizontal scaling by automatically distributing data across multiple servers.
MongoDB provides a flexible query language and supports advanced aggregation features, such as MapReduce.
It has features that support high availability and automatic failover, such as replica sets and sharding.
MongoDB provides various drivers and APIs for different programming languages, making it easy to integrate with various applications.
It can be used for a wide range of applications, including web applications, real-time analytics, content management systems, and more.
MongoDB community provides extensive documentation, resources, and support, making it easy to get started with the database.
It can be deployed on-premises or on popular cloud platforms, including AWS, Azure, and Google Cloud.
What is MongoDB?
Answer: MongoDB is a highly scalable and flexible NoSQL document-oriented database system designed to handle large volumes of unstructured data.
What is the difference between MongoDB and relational databases?
Answer: MongoDB is a NoSQL database, while relational databases are SQL-based. MongoDB stores data in documents, which are flexible and allow for nested data structures. Relational databases store data in tables with static columns and rows.
How does MongoDB ensure high performance?
Answer: MongoDB uses indexes extensively to ensure quick access to data. Additionally, it uses sharding to distribute data across multiple nodes for high availability and scalability.
What is the syntax for creating a collection in MongoDB?
Answer: db.createCollection(name, options) where “name” is the name of the collection and “options” are optional parameters to customize the collection’s behavior.
How can you import data into MongoDB from a CSV file?
Answer: You can use the mongoimport command-line tool to import data from a CSV file into a MongoDB collection. The syntax is as follows: mongoimport –db DATABASE_NAME –collection COLLECTION_NAME –type csv –file FILE_NAME –headerline.