📚 Main Topics

1. Types of Databases

   • SQL Databases (e.g., SQLite, PostgreSQL, MySQL)
   • Document Databases (e.g., MongoDB, Firestore)
   • Key-Value Stores (e.g., Redis, Memcached)
   • Graph Databases (e.g., Neo4j)

2. Database Hosting Options

   • Self-hosting (e.g., AWS EC2, Heroku)
   • Managed services (e.g., PlanetScale, CockroachDB)
   • Proprietary solutions (e.g., FaunaDB, Firebase)

3. Choosing the Right Database

   • Understanding the specific needs of your project.
   • The importance of relationships in data architecture.
   • The trade-offs between different database types and hosting solutions.

4. Common Pitfalls

   • Over-reliance on document databases for applications with relationships.
   • The risks associated with proprietary solutions like Firebase and FaunaDB.
   • The importance of having a server to manage data requests and relationships.

✨ Key Takeaways

• Database ComplexityThere are many options available, each with different functionalities and philosophies. Understanding the distinctions between SQL, document, and key-value stores is crucial.
• Relationships MatterMost applications involve relationships between data entities, making relational databases a more suitable choice in many cases.
• Managed vs. Self-hostedManaged services can simplify scaling and maintenance but may come with vendor lock-in risks. Self-hosting offers more control but requires more management.
• Avoiding Proprietary Lock-inSolutions like Firestore and FaunaDB can lead to challenges in flexibility and scalability. It's often better to use open standards and maintain control over your data architecture.

🧠 Lessons Learned

• Start with SQLFor most applications, starting with a relational database is advisable due to its flexibility and ability to handle complex relationships.
• Be Cautious with Document StoresWhile document databases can be useful, they often lead to complications when relationships are involved. They should be used judiciously.
• Build a Server LayerHaving a server between your client and database can help manage data requests, permissions, and relationships effectively, reducing complexity and potential issues.
• Evaluate Your NeedsBefore choosing a database solution, assess your project's specific requirements and consider the long-term implications of your choice.