Customer stories
How teams use Readyset to scale their databases — real outcomes from production deployments.
How We Reached 4.3 Million QPS for MySQL and PostgreSQL workloads on a Single Readyset Node
Readyset now serves 4.3 million queries per second from a single node, more than 6x what we could do on the same hardware before. We got there by profiling the serving path, fixing the bottlenecks we found, and measuring again. The result is not only higher throughput, but lower latency and much better use of the hardware.
Lemit Trusts Readyset to Reach 100K QPS on MySQL, Without Changing a Single Line of Code
When vertical scaling, read replicas, and MEMORY tables weren't enough, Readyset's SQL-level caching broke through the ceiling, delivering over 109,000 queries per second on MySQL.
Hussle Technology Trusts Readyset QueryPilot to Handle Peak-Season MySQL Load
About the Customer: Hussle Technology Hussle Technology is a global leader in direct sales and field-sales enablement software, empowering brands and their distributed seller networks with tools to sell smarter, faster, and at scale. The platform centralizes content management, learning and onboarding, AI-driven task automation, live selling, real-time analytics, and engagement tools into a single configurable system designed specifically for direct selling and affiliate organizations. Hussle
Grupo Ótima Digital Trusts Readyset to Scale Growing MySQL Infrastructure
Brazil’s leading provider of messaging solutions, Group Ótima Digital, seamlessly integrates Readyset’s database scaling platform to scale their existing MySQL infrastructure with ZERO code changes
How ClickFunnels Overcame Database Scaling Challenges and Optimized MySQL Queries with Readyset
ClickFunnels leverages Readyset’s database scaling and query caching solution to boost performance and cut AWS Aurora MySQL 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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