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The data platform powering the AI era. Speed, scale, and cost-efficiency - without compromise. Get started today: https://xitter.gq/t.co/RpLdh0f8K3

Bay Area / Amsterdam
Joined January 2017
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“The bigger risk I face isn’t that you’re going to fail and we’re going to get rid of you. It’s that you get tired and you fall out of love.” - @peterfenton Introducing Real Time, a new podcast from ClickHouse. In our first episode, Aaron Katz (@ceo_clickhouse) sits down with Benchmark's Peter Fenton on backing founders, building open-source businesses, and the AI supercycle. A few highlights: - You can't fake open-source adoption. But how do you turn it into a business? Peter on why ClickHouse's cloud aligned value creation with value capture. - On the scale of the AI opportunity: “In 10 years, we’ll look back and dream about being here.” His advice to founders: stay curious, take risks, and make failure cheap. - Benchmark's new playbook: four to six big, decade-long bets on generational founders. - Peter flew Aaron to Big Sur himself and landed the helicopter on the roof of a house. Aaron took an Uber home. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒: 0:00 Introduction 1:32 Nearly 30 years of backing founders 6:18 What did Peter see in ClickHouse 10:10 Turning open-source adoption into a business 14:27 Benchmark and Uber 21:51 Helicopters and an eight-hour ski trip 25:21 Silicon Valley ambition and a global engineering team 32:32 Why Benchmark is evolving its investment approach 40:58 AI’s long-term potential and the financial cycle 45:55 Curiosity, risk-taking, and making failure cheap The first episode is linked in the comments. ⬇️
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1.6 million learners, 324 million assignments, billions of events. See how Infinitas Learning runs transactions on ClickHouse Managed Postgres and customer-facing analytics on ClickHouse Cloud, and how distributed cache cut P99 from ~13s to ~410ms 👇 clickhou.se/4fdrFtC
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We believe the future of observability is agent-led. @vercel shows what that can look like: @vvoyer uses an agent to investigate errors in ClickHouse data. Get hands-on with ClickStack in our observability training → clickhou.se/4z72D7u
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AI hype cycle or supercycle? @peterfenton sees AI’s potential to improve knowledge work as a reason to think bigger. His view: we’re still early. Peter joins ClickHouse CEO Aaron Katz (@ceo_clickhouse) in the first episode of Real Time.
Peter Fenton (@peterfenton) has spent nearly 30 years backing founders. ClickHouse CEO Aaron Katz (@ceo_clickhouse) is one of them. They sit down for the first episode of Real Time, a new ClickHouse podcast with the people shaping what’s next in technology. Here’s a first look. The full episode is out today at 12:30 pm ET.
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Peter Fenton (@peterfenton) has spent nearly 30 years backing founders. ClickHouse CEO Aaron Katz (@ceo_clickhouse) is one of them. They sit down for the first episode of Real Time, a new ClickHouse podcast with the people shaping what’s next in technology. Here’s a first look. The full episode is out today at 12:30 pm ET.
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🛑 Promoting a Postgres standby doesn't stop the old primary from taking writes. So how do you fence it first? ⚡️ Bare metal: drop the veth ☁️ AWS: detach a NIC 🌐 GCP: delete a Dynamic NIC How ClickHouse Managed Postgres does it :point_down: clickhouse.com/blog/fencing-…
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Your next ClickHouse query could use a little less nesting and a lot less memory. 🪄 26.10 adds function composition, arbitrary JOIN conditions, disk spilling for IN subqueries, and faster GROUP BY queries. clickhouse.com/blog/clickhou…
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93.1% lower p90 lookup latency. @moniepoint moved from per-transaction calculations to precomputed customer state with ClickHouse, helping its fraud system react faster. Try ClickHouse Cloud → clickhou.se/4iyhMca
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ClickHouse retweeted
Had a fantastic time speaking at the @CMUDB seminar earlier this week on all the Postgres work we are doing @ClickHouseDB. We dove deep into WalShadow’s internals. What I found especially interesting was how it handles parallel decoding and uses fencing to manage schema changes. This is one of the primary reasons you can expect very low latency even at high throughput when syncing data from Postgres to ClickHouse. Don’t miss that part. Hoping some of these ideas could make their way into Postgres core. May be Logical decoding v5. 👀 Recording: youtube.com/watch?v=l2ed26H0… Deck: speakerdeck.com/saisrirampur…
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A packed six weeks for ClickStack: ad hoc filters, PromQL for every chart type, flexible heatmaps, and search, tracing, MCP and alerting improvements. Thanks to our 16 new contributors! Come chat at KubeCon next week for some exciting announcements! clickhou.se/4ecgwcm
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ClickHouse retweeted
🎙️ Grab your headphones, our latest episode of Beyond the Noise is live! Hear Michael Shi, Head of Product, Observability at @ClickHouseDB and co-founder of @hyperdxio talk AI agents as users, the changing role of OSS and why data matters more than ever: bitdrift.io/podcast/beyond-t…
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Slow Postgres? Before adding local copies, think again. clickhouse.com/blog/does-you… Fast local reads come with synchronization, reconciliation, and more moving parts. What if Postgres on local NVMe could give you the speed without the complexity?
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