Customer stories

How teams use Readyset to scale their databases — real outcomes from production deployments.

Lemit Trusts Readyset to Reach 100K QPS on MySQL, Without Changing a Single Line of Code

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. Key Results 109K Queries Per Second 0 Lines of Code Changed <1ms Cached Query Latency 8x Read Throughput Increase About Lemit Lemit (Lemit Tecnologia da Informacao) is a Brazilian data enrichment and credit intelligence company based in Sao Paulo. Their platform enables businesses to make faster

Hussle Technology Trusts Readyset QueryPilot to Handle Peak-Season MySQL Load

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

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

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.

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