Mongodb Reference Sheet - Mapping Sql to Mongodb

The MongoDB Reference Sheet - Mapping SQL to MongoDB is a document that provides a guide for developers to understand and map SQL queries and operations to MongoDB's query language and data model. It helps developers who are familiar with SQL to easily transition and work with MongoDB databases.

The MongoDB Reference Sheet - Mapping SQL to MongoDB is filed and maintained by the MongoDB community and development team.

FAQ

Q: What is MongoDB?
A: MongoDB is a NoSQL database that stores data in a flexible, JSON-like format.

Q: What is SQL?
A: SQL (Structured Query Language) is a standard language for managing relational databases.

Q: How is data structured in MongoDB?
A: Data in MongoDB is stored as documents, which are similar to JSON objects.

Q: How is data structured in SQL?
A: Data in SQL is stored in tables, which consist of rows and columns.

Q: What are the main differences between MongoDB and SQL?
A: MongoDB is a NoSQL database, while SQL databases are relational. MongoDB is schema-less, while SQL databases have a fixed schema.

Q: Can you map SQL queries to MongoDB queries?
A: Yes, you can map SQL queries to MongoDB queries by understanding the equivalent MongoDB operators and syntax.

Q: Are all SQL queries directly translatable to MongoDB queries?
A: Not all SQL queries have a direct equivalent in MongoDB, especially for complex queries involving join operations.

Q: What are some basic SQL to MongoDB mappings?
A: SELECT -> find, INSERT -> insert, UPDATE -> update, DELETE -> remove