MongoDB is a popular NoSQL database system renowned for its flexibility and scalability. It uses a document-oriented model, storing data in JSON-like BSON format, allowing for dynamic schemas and easy data manipulation. MongoDB's distributed architecture supports horizontal scaling, ensuring high availability and performance. It's widely utilized for applications requiring real-time data access and complex data structures. Its features include automatic sharding, replication, and support for geospatial data, making it a versatile choice for a broad range of industries, from e-commerce and social media to IoT and big data analytics.
181. Which database type does MongoDB primarily represent?
182. What is the primary data model used by MongoDB?
183. Which type of database is typically best suited for complex, structured data with fixed schemas?
184. In MongoDB, how is data typically stored within collections?
185. What is a primary use case for MongoDB in terms of data flexibility and scalability?
186. In SQL databases, how are relationships between data tables typically managed?
187. What does MongoDB's flexible schema mean in terms of data modeling?
188. What is a significant advantage of SQL databases in terms of data consistency?
189. What is a common query language used in MongoDB for data retrieval and manipulation?
190. In MongoDB, how is data often queried and retrieved from collections?