Welcome to ClickHouse, @andy_pavlo 👋 We're launching ClickHouse Labs, a new research group advancing foundational database technology, led by Andy as VP of Database Research. Andy is an award-winning database researcher, professor at Carnegie Mellon University’s Computer Science Department and longtime leader of the CMU Database Research Group. At ClickHouse Labs, he'll build a team to take on the hardest problems in database systems, testing their work on real workloads and publishing it in the open, across both ClickHouse and PostgreSQL. Read Andy’s blog: clickhouse.com/blog/andy-…

ClickHouse Open House is live! Our 2nd annual conference has just started, and we’ll be sharing the biggest announcements, product updates, and highlights right here. Follow along👇 t.co/vMNdl8knfi

Congratulations to @AnthropicAI on raising $65bn. When Claude 3.5 launched, their engineers asked Claude which database to use. Claude recommended ClickHouse. Fast forward a year and we launched ClickHouse Agents. powered by Claude. Here's to building together. t.co/nuosoc1JsZ

Excited to announce series C financing extension and expansion of the leadership team at ClickHouse! t.co/N8ZFxAa1kr We passed 2,000 customers and more than quadrupled ARR over the past year, adding companies like Anthropic, Cyera, Hewlett Packard Enterprise, Insider, LangChain, Laravel, Masorange, Meta, Qualified, Shopmonkey, Sierra, Supabase, Vercel, Weights & Biases, and many more to the list of organizations building their AI-powered businesses on top of ClickHouse. Many thanks to our new investors: @CitiVentures (@vibhorrastogi), @insightpartners (John Wolff), @peakxvpartners (Shailendra Singh), @FoundersCC (@mikej0000), @DEShawGroup (@jazminsmedina), Adams Street Partners (Fred Wang), @RosbergVentures (@NicoRosberg), @ExpandingCap (@Shriftman), and San Francisco 49s Brock Purdy (@brockpurdy13), Christian McCaffrey (@CMC_22), and Kyle Juszczyk (@JuiceCheck44), and existing investors that participated in this round @AltimeterCap (@jaminball), @BessemerVP (@bdeeter), @IVP (@CackF), @bondcap (Jay Simmons), and GIC (@lihanchen). We're also thrilled to welcome our new executives Kevin Egan (CRO), Mariah Nagy (VP of People), and Jimmy Sexton (CFO). This funding and talent will fuel our mission to empower organizations with lightning-fast analytics on massive datasets in the era of AI.

Congrats to @modal on their $355M Series C! 🎉 t.co/D1gQAzdO46 We wrote last November about the ClickHouse-powered dashboards their customers use to watch AI jobs run in real time - 500B logs, 1–2M events/min, P90 at ~420ms.

Last week, @AnthropicAI raised $30B at a $380B valuation. t.co/nuosoc1JsZ As Claude scales to $14B in annual revenue, its observability infrastructure must handle massive volumes of telemetry data. When Claude 3.5 launched, their previous system couldn't keep up. They built a custom air-gapped ClickHouse deployment that processes AI-scale monitoring data with zero downtime. One engineer's review: "haven't noticed the database running for a while" - the ultimate infrastructure compliment.

Big day at Google Next. t.co/VUcrVJvk2l Four new ClickHouse + Google Cloud milestones: Lakehouse integration, BYOC on GCP, Axion migration, and MCP server support in Google Antigravity.

Congrats to @rdelgado2013 and the rest of the @tryramp team on their $750M raise! It's great to see companies that we work with doing so well. t.co/pv001LYnxN Ryan and his team coined one of our favorite phrases: "Just OLAP it", which is their answer to every slow route or lagging dashboard. It started when Ryan ran ClickHouse against 60 million card transactions. His reaction: "Twelve seconds later, it was done. I've never seen anything like that in my career." 4 weeks later, they were in production with query times reduced from 40+ seconds to milliseconds for 50,000+ customers.

The loudest event at Next ‘26 isn’t a keynote. 🤫 We’re taking over Hakkasan with The Chainsmokers for a night the dev community will be talking about until '27. Data by day. Legends by night. 🪩 Apr 22 | Las Vegas Don't get left in the queue: t.co/n7qiBPcugc

Alexey said it best: “We optimize ClickHouse… and then optimize it again… and again.” t.co/AO8W3A0aY7 25.11 keeps that tradition alive Parallel GROUP BY merges. Projections as true secondary indexes. Faster DISTINCT. More speed everywhere.

We’re bringing Postgres closer to ClickHouse. t.co/LaKGLUdiAv Today, we’re launching a fast, scalable, enterprise-grade Postgres service natively integrated with ClickHouse, designed for real-time and AI-driven workloads. We are partnering with @UbicloudHQ and their world-class Postgres team to bring this offering to life. Read the blog for details and how to join the private preview.

Every second, @canva generates 3M spans + 3M logs for 240M+ users … and those numbers are doubling YoY 🤯 t.co/xVQejrPs0s Their move to @ClickHouseDB delivered: ✔️ 70% cheaper storage ✔️ 10x faster search ✔️ A better logging experience for engineers

When you’re the fastest-growing software company in history, you need a database that can keep up. t.co/CGcC0LJb2Y See how @Lovable uses @ClickHouseDB for large-scale observability, AI-powered debugging, and real-time analytics across millions of user-built apps 👇

One crypto exchange's actual Datadog bill: $65M/year 🤯 t.co/cD8qQ7HiUM The observability industry has built tools that are more expensive than the systems they monitor. It's like paying more for your car's dashboard than the engine. How did this become normal? Mike Shi digs into why this happened: - Vendors built pricing models optimized for extraction, not value - We accepted artificial scarcity (sampling, retention limits) as normal - The same telemetry data gets monetized 3x across metrics, logs, and traces The escape route exists: columnar storage handles wide events efficiently, and OpenTelemetry breaks vendor lock-in. Companies are already cutting costs by 10-100x switching to open architectures. The question isn't whether to migrate—it's how fast you can.

We rebuilt ClickHouse Cloud's autoscaling orchestration with controller-runtime and a ClickHouse-powered signals table, to support reactive, near real-time scaling recommendations. How it works: clickhouse.com/blog/makin…