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Database Cost Efficiency

Scale reads efficiently while cutting infrastructure spend and operational overhead for reduced database costs without sacrificing performance.

The Challenge

Why database costs spiral

Scaling reads the traditional way increases costs faster than it improves performance.

Overprovisioning becomes the default

Read replicas multiply infrastructure spend

Engineering teams manage replicas manually

Costs rise without predictable performance gains

Database Load / Query Latency

The Solution

How Readyset improves cost efficiency

Readyset offloads reads from primary databases and reduces the need for replicas.

Fewer read replicas required

Lower compute and storage costs

Hands-off operation with automatic scaling

Fully managed deployment options available

Database Load / Query Latency

Scale your database, not your bill.

Readyset reduces database spend without adding operational complexity.

Cut Costs.

Read traffic is served from cache, reducing load on the primary database and infra spend.

Reduce Replicas.

Read load stays off the primary database, reducing reliance on additional read replicas.

Scale Savings.

Infra efficiency improves as traffic grows, maintaining lower costs over time.

See how others solve this challenge

Explore guides and engineering stories from teams using Readyset.

Frequently Asked Questions

Find answers to common questions about Readyset. If you have additional questions, feel free to contact us.

Scale reads without scaling database spend.

Rising infrastructure costs shouldn’t limit growth. Readyset offloads read traffic so teams scale predictably without adding replicas or unpredictable database costs.

Revolutionize your database performance with Readyset

Serve requests at sub-millisecond latencies with the modern database scaling and query caching system for MySQL and PostgreSQL.

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