Last year, we shared how we saved millions by moving off Datadog and onto ClickHouse. t.co/OvBlatnoHl We scaled our internal observability stack from: 📦 19PB → 100PB 📈 40 trillion → 500 trillion rows 💥 While cutting CPU usage by 90% The key? OpenTelemetry isn’t always the right fit at hyperscale. We implemented a custom pipeline (SysEx) that bypasses OTel and streams ClickHouse data natively. And now with a UI powered by HyperDX for ClickHouse native exploration ⚡

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.

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.

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 👇

Tesla stress-tested ClickHouse with 1 quadrillion rows. 🤯 The result? No scaling issues. Not a single hiccup. t.co/Vb8pz1FsFx To monitor everything from Gigafactories to millions of connected vehicles, Tesla built a custom observability system—powered by ClickHouse—that: - Ingests tens of millions of rows/sec - Stores trillions of metric samples - Managing tens of billions of unique time series As @alontal put it: “Data in ClickHouse is better than data anywhere else.” Read the full story 👆

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.

🎉 Big news! 🎉 t.co/l4yh9tDDUi We acquired @HyperDXio to build the future of open-source observability! Help engineers spend less time firefighting at 2 am and more time building. ClickHouse speed + HyperDX UX = the observability platform you've been waiting for 🚀

The open-source Agentic Data Stack is here 🔥 👉 t.co/bDgxfjdhJy Today, we’re excited to share that we’ve joined forces with @LibreChatAI. Together, ClickHouse and LibreChat form the foundation of the open-source Agentic Data Stack, empowering teams to deploy AI agents that analyze and act on large datasets through natural language. And it’s already powering real-world applications: ⬩@Shopify uses LibreChat internally with 1000+ custom agents and 30+ MCP servers ⬩@DaimlerTruck has deployed LibreChat company-wide for secure AI access ⬩@cBioPortal built a public genomics research agent for cancer data analysis on top of ClickHouse and LibreChat ⬩We deployed a LibreChat-backed agent that now handles approximately 70% of data warehouse queries for over 200 users, processing 33 million LLM tokens daily What doesn't change: ✓ LibreChat remains 100% open source (MIT license) ✓ Community-first development continues ✓ Your existing LibreChat deployments work exactly as before What gets better: ✓ Enterprise-ready features for production agentic analytics workloads ✓ Native LibreChat experience alongside ClickHouse Cloud instances ✓ Extended data visualization support, enterprise-grade security and governance, and a tailored semantic layer The future of data analysis isn't dashboards, it's agents that understand your questions and deliver answers instantly from billions of records. Welcome to the LibreChat team and community! 🎉 Try it yourself 👉 t.co/PeenGvujUt (And by the way, we are hiring. If interested, just ping @ryadhdotnet)

🚀 MongoDB CDC to ClickHouse — Now in Private Preview! t.co/GPesimWoLy In just a few clicks, you can now continuously replicate MongoDB collections (from Atlas or self-hosted) to ClickHouse Cloud and unlock blazing-fast analytics on your document data using the native JSON data type. This powerful integration forms “the Document Data Stack” — combining @MongoDB's high-throughput operational capabilities with ClickHouse’s real-time analytics, on JSON-based document data. It’s perfect for teams building modern web and AI applications that need low-latency transactions and high-speed analytics. What makes this special? • High-performance initial loads + real-time Change Streams • Native JSON data type support: Preserve nested docs, arrays, embedded objects • Enterprise-grade monitoring and alerting • Powered by open-source PeerDB — no vendor lock-in Sign-up for the Private Preview: t.co/cTld2P6utO

We're proud to announce the launch of ClickHouse K.K., our new Japanese subsidiary, in partnership with Japan Cloud! 🇯🇵 Together, we'll help enterprises in Japan harness real-time analytics and AI to drive innovation, transformation, and growth. 🔗 Read more: t.co/vEtKC7ErYl

🚀 Nightwatch the new @laravelphp observability platform, handles 1B+ events/day with sub-second latency — powered by Amazon MSK, @AWS Lambda, and ClickHouse Cloud. t.co/2aKf9PzDbz The challenge: Real-time monitoring for millions of apps. The solution: A decoupled streaming and analytics pipeline delivering instant insights at global scale. Read how the team built Nightwatch 👉

Our CTO Alexey Milovidov's talk from the P99 conference in October is now live as an annotated presentation 🎯 t.co/d8MNBiuT1B "How to use Rust in ClickHouse: avoiding a full rewrite" covers our incremental approach to introducing Rust into a 1.5M line C++ codebase - without the drama of a full rewrite. Big thanks to @simonw for pioneering the annotated presentation format. It's the perfect way to share conference talks: slides, video, and a detailed transcript, all in one place.

We just released pg_clickhouse - a PostgreSQL extension that runs your analytics queries on ClickHouse without rewriting any SQL. t.co/P2QacDq4nY The hard part of migrating to ClickHouse isn't moving data (ClickPipes handles that). It's the months of analytics SQL scattered across dashboards, ORMs, and background jobs. pg_clickhouse solves this by making ClickHouse tables look like regular Postgres tables. Change your schema path and your queries just work - except now they execute on ClickHouse. And it's pretty fast too! ⚡ Query 4 from TPC-H: 650ms in Postgres → 67ms with pg_clickhouse.

"Everyone is saying AI, AI, AI. It is so boring." t.co/gAoWRQ6qRH Alexey Milovidov opened his @WebSummit talk by loading 81.5TB of human knowledge into ClickHouse in 72 minutes. Then he: * Compressed it better than Parquet (46TB → 33TB) * Loaded Wikipedia in 6 seconds * Built style fingerprints for every website on the internet * Made 1B photos queryable in real time

Like many startups, @Polymarket started with what made sense: Postgres. t.co/DUjJhqfT60 As their platform took off, the data in Postgres grew, and it naturally became used for everything - transactions, data warehousing, and user-facing analytics. Analytics began to strain Postgres, and limited what questions they could ask. In a couple months, Polymarket's lean data team added ClickHouse alongside Postgres, powering their data warehouse, in-app analytics and public APIs. We chatted with @primo_data about the journey.

Git-native ✓ Local-first ✓ Schemas as code ✓ Open source ✓ AI copilot ready ✓ Transparent migrations ✓ Modern DX for data infrastructure → t.co/EovhFupJ6O