Materialized Views vs. Query Caching: Which One Should You Use?

When queries start dragging, engineers often reach for materialized views or query caching. Both reduce redundant computation, but the better fit depends on freshness needs, write patterns, and workload shape.

Materialized Views

• Best suited for analytics and reporting.
• Precompute results like daily sales by category or monthly churn by region and store them as tables.
• Pros: Predictable performance, less load on the primary database.
• Cons: Typically less fresh, though some databases now support incremental or near-real-time updates.

Query Caching

• Ideal for high-volume, user-facing reads where latency and freshness are critical.
• Used for things like latest trades in finance apps, activity feeds in SaaS, or items in stock in e-commerce.
• Pros: Serves repeated queries from memory, avoiding database hits entirely.
• Cons: Harder to manage correctness; invalidation logic is complex and cache hit rates drop for highly dynamic queries.

Most production systems use both: materialized views for dashboards and caches for real-time features. Traditionally, you had to choose between speed and correctness. Readyset removes that tradeoff by combining caching performance with materialized-view consistency.

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