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tech 9 August 2026

How Shopify Replaced Redis with MySQL for Inventory Reservations and Successfully Scaled

Shopify tackled the challenge of replacing Redis with MySQL for inventory reservations. Discover how they successfully scaled while maintaining performance.

Article inspired by the original source
Shopify replaced Redis with MySQL for inventory reservations–and it scaled ↗ shopify.engineering

Introduction

Managing inventory reservations at scale is a significant challenge for any e-commerce platform. For Shopify, which handles astronomical sales figures, including a record $5.1 million per minute on Black Friday 2025, the efficiency and reliability of its inventory management system are crucial. Historically, Shopify used Redis for this task but recently transitioned to MySQL. Why this change and how did they manage to maintain scale and performance?

Why Move from Redis to MySQL?

Redis is known for its speed and ability to handle high-speed transactions. However, Shopify was looking for a more integrated solution aligned with their unified database strategy. The idea was to simplify the overall architecture, thus reducing potential failure points and operational costs.

Challenges Faced

The transition from Redis to MySQL was not without its challenges. Previous attempts had failed due to issues related to concurrent transaction management and data locking. The main goal was to avoid overselling and missed sales, which required a system capable of efficiently handling real-time inventory reservations.

Technical Solutions

Shopify implemented several techniques to overcome these challenges:

  • SKIP LOCKED: This feature allows MySQL to skip locked rows, improving transaction concurrency.
  • Composite Primary Keys: By effectively structuring primary keys, Shopify enhanced access speed and reduced conflicts.
  • Connection Visibility: By monitoring connection states, they optimized resources and avoided bottlenecks.

The Results

Thanks to these technical improvements, Shopify not only replaced Redis with MySQL but also maintained, if not improved, the performance of its inventory management system. MySQL's ability to handle millions of simultaneous transactions proved that this migration was a success.

Conclusion

Shopify's transition from Redis to MySQL for inventory reservations is a prime example of how tech companies can evolve and adapt to meet growing demands. By taking a thoughtful approach and implementing robust technical solutions, Shopify demonstrated that MySQL can handle the demands of an e-commerce giant.

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