Improves query performance by creating efficient data access paths.

A key-value pair object in BSON format representing a single record.

Yes, documents in the same collection can have different fields and structures.

A group of related MongoDB documents, similar to a relational database table.

Use use dbname; it's created when data is added.

A framework for data processing and transformation using stages like $group, $match.

Yes, arrays are supported as values in documents.

Binary-encoded JSON format used internally by MongoDB for data storage.

Use db.collection.drop() to remove it.

A NoSQL, document-based database storing data in flexible, JSON-like BSON format.

A group of MongoDB servers ensuring redundancy and high availability.

A 12-byte unique identifier used for MongoDB document _id.

Non-relational databases designed for high scalability, flexibility, and large-scale data storage.

Using updateOne(), updateMany(), or replaceOne() methods.

The _id field, automatically generated if not provided.

Using deleteOne() or deleteMany() based on filter criteria.

With find() or findOne() using key-value filter criteria.

Distributes data across multiple servers for horizontal scalability.

Increments the value of a field by a specified amount.

Using insertOne(), insertMany(), or implicitly via save().

Yes, using $lookup in aggregation for basic join-like operations.

Use db.createCollection("name") or insert a document directly.

Updates specific fields in a document without replacing entire document.

find() returns cursor; findOne() returns first matching document.