ACID vs BASE — What Every Backend Engineer Gets Wrong
ACID vs BASE — two consistency models that shape how modern databases and distributed systems work.
In this video, we break down what ACID really guarantees, why BASE emerged for large-scale systems, and how choosing the wrong model can impact reliability, performance, and user experience.
Whether you're preparing for a system design interview, building backend services, or simply trying to understand how large applications like Netflix, Amazon, and banking systems architect their data layers — this deep dive will make everything click.
What you’ll learn:
What ACID actually means (beyond the textbook definition)
Why strict consistency fails at global scale
Why BASE works for high-throughput distributed systems
Real-world examples of ACID vs BASE databases
How to choose the right model for your system
When to use hybrid approaches
This is one of the most important concepts in backend engineering — and once you understand it, you’ll design systems differently.
If you enjoy clear, visual explanations of system design, subscribe for more:
👉 @codingwithchan
#systemdesign #distributedSystems #backendengineering #databases #ACID #BASE #consistencymodels #cloudarchitecture #softwareengineering #scalability #highavailability #eventualconsistency