MongoDB vs SQLite: What are the differences?

Introduction

This Markdown code provides a comparison between MongoDB and SQLite, highlighting their key differences.

1. Storage Structure: MongoDB is a document-oriented database that stores data in a flexible, JSON-like structure called BSON (Binary JSON). It allows for nested data and dynamic schema. On the other hand, SQLite is a relational database that stores data in predefined tables with fixed columns and rows.

2. Scalability: MongoDB is designed to scale horizontally, allowing for the distribution of data across multiple servers or clusters to handle high volumes of traffic and large datasets. In contrast, SQLite is primarily designed for single-machine use and lacks built-in support for distributed computing.

3. Query Language: MongoDB uses a powerful and flexible query language known as the MongoDB Query Language (MQL), which supports a wide range of operators and expressions for querying and manipulating data. SQLite, being a relational database, uses SQL (Structured Query Language) for querying and managing data.

4. Transaction Support: MongoDB provides support for multi-document transactions, allowing operations on multiple documents to be grouped together and either succeed or fail as a single unit. SQLite also supports transactions, but it operates at the level of individual SQL statements rather than documents.

5. Schema Design: MongoDB's flexible schema design allows for dynamic changes to the schema, making it suitable for evolving data structures and use cases where the schema may change frequently. In contrast, SQLite requires a predefined schema and enforces data integrity through the use of constraints such as primary keys and foreign keys.

6. Concurrency: MongoDB can handle concurrent read and write operations efficiently, especially when distributed across multiple servers or clusters. SQLite, being a file-based database, has limited concurrency capabilities and is best suited for single-user or low-concurrency scenarios.

In summary, MongoDB and SQLite differ in their storage structure, scalability, query language, transaction support, schema design, and concurrency capabilities.