As the world starts adding Earth, Wind and Fire back on to their playlists, here’s what’s new at Readyset: Scaling WordPress Instantly with Readyset QueryPilot Last month we launched Readyset QueryPilot, our zero-touch automatic caching solution, in beta for MySQL and early results are in. In a recent test on WordPress, QueryPilot instantly scaled database performance impressively without a single code change, delivering: * ~60% higher throughput: requests per second increased from 25.6 →
Readyset
2025-09-03 · 4 min read

As the world starts adding Earth, Wind and Fire back on to their playlists, here’s what’s new at Readyset:
Last month we launched Readyset QueryPilot, our zero-touch automatic caching solution, in beta for MySQL and early results are in.
In a recent test on WordPress, QueryPilot instantly scaled database performance impressively without a single code change, delivering:
QueryPilot automatically analyzes live traffic, identifies expensive queries, and caches them, boosting performance for both modern apps and legacy systems.
MySQL users → Join the beta, first 2 months free
Postgres users → Sign up for the private preview waitlist
Readyset Core
Check out the full release here.
We’ve improved how Readyset handles one of the most challenging join patterns. This post explains how index condition pushdown speeds up straddled joins and shares benchmarks showing notable performance gains.
WordPress with QueryPilot: Instant Database Scaling Without Code Changes
See how QueryPilot transformed WordPress performance by automatically caching high-impact queries. This post walks through the setup, benchmarks, and the massive gains we achieved, all with no code changes.
Behind the Magic: How Readyset Speeds Up Queries with Streaming Dataflow
Ever wondered what powers Readyset under the hood? In this post, Vinicius explains how Readyset transforms live binlog events into a high-performance cache using streaming dataflow, making complex queries faster and infrastructure leaner.

Tanmay, Bianchi and Marcelo had an incredible time at the AWS Summit in São Paulo!From conversations with engineers building at scale to connecting with database practitioners from across Brazil, the event was packed with energy and inspiring ideas.
A big thank you to everyone who stopped by our booth. We loved hearing about what you’re building and sharing how Readyset can help you scale it.
PGDay Austria - September 4, 2025
We’re excited to have Tanmay as one of the keynote speakers. In his talk, “Data Gravity is Real: But You Can Bend It,” he’ll explore how making the operational database both the source of truth and the query engine eliminates pipelines, reduces redundancy, and cuts delays.
Later in the day, Tanmay and our CEO Gautam will present “Scaling Reads in PostgreSQL with Readyset,” showing how to push Postgres further than you thought possible.
Outside of the talks, you’ll find them at the Readyset booth. Stop by to talk shop, swap ideas, ask about the bingo activities to win prizes, or just say hi.
We’re proud to be an official sponsor of MySQL Brazil Conference on October 4th! This year, our very own Marcelo is also co-organizing the event. And 2025 marks the 30th anniversary of MySQL, making this year’s conference an especially meaningful moment to celebrate the past, present, and future of MySQL. Tanmay and Marcelo will also be speaking, and we’ll be hosting a happy hour. Keep an eye on our socials for more details, and be sure to stop by and say hi if you’re attending.If you haven’t purchased your ticket yet, it’s almost sold out. You can use this link to secure yours before they run out.
Keen to use Readyset but your database or cloud environment are not supported? Reach out to support@readyset.io and let us know.
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Modern applications demand instant performance, even under unpredictable load. Readyset helps you eliminate slow queries, stabilize latency, and scale confidently.
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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