Choosing the Right Database for Your Python Project

When you're picking a database for your Python project, there are some important things to think about:

1. Data Structure

• SQL (Relational Databases): These are perfect for data that has a clear structure and fixed rules. About 70-80% of companies use SQL.
• NoSQL (Non-Relational Databases): These work well for data that isn't structured or changes a lot. Around 30% of applications use NoSQL.

2. Scalability

• SQL databases usually grow by adding more power to a single server. For example, 57% of SQL databases are hosted on cloud services.
• NoSQL databases are great for growing by spreading out across many servers. They can sometimes handle up to 10 times more data during busy times.

3. Use Case

• SQL is better for applications that need to be very reliable and consistent. Research shows that 80% of financial applications prefer using SQL for this reason.
• NoSQL is popular for handling big data and real-time applications. About 68% of businesses use NoSQL for data analysis.

4. Performance

• SQL databases usually take about 200 milliseconds to respond to requests. NoSQL databases can respond in less than 100 milliseconds!

In short, choosing the right type of database is very important. It helps make sure your project runs smoothly and reliably.