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Databases & Data Storage

Choose, design, and scale the right database — relational, NoSQL, vector, and cloud-native options compared.

Courses

Intermediate9 hours

Learn how relational, NoSQL, vector, and cloud databases work — and how to pick, design, and query the right one for your application.

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Intermediate10 hours

Caching

From fundamentals to production — caching strategies, eviction policies, invalidation, Redis, CDN caching, and multi-level architectures with hands-on patterns throughout.

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Articles

Database Indexing Explained: B-Trees, Composite Indexes, and Query Optimization

A query that takes 4 seconds without an index takes 0.2ms with one. That's a 20,000x improvement from a single line of SQL. Indexes are the …

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Caching Strategies: Redis, CDN, and Multi-Level Caches

Caching is the fastest way to scale a system without changing your database or adding servers. Done right, it cuts database load by 90%, dro…

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SQL vs NoSQL: A Developer's Comparison

SQL and NoSQL are not opposites — they solve different data problems. SQL databases store data in normalized tables with strict schemas, ACI…

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How to Choose the Right Database

Picking a database is not about finding the fastest engine — it is about matching storage to the shape of your data. Start with one question…

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