Say hello to clickhouse.build - the open source, agentic CLI that helps you add ClickHouse to your existing Postgres-backed TypeScript application. clickhou.se/4pgZSvB

Can you 4x OTel thoughput with Rust? Meet Rotel: pushing 460K spans/sec/core (vs 130k) How? By diving deep into Rust's threading model, resolving allocator lock contention, and reengineering JSON serialization with RowBinary encoding to stream data efficiently into ClickHouse.

Shout out to Todd Stoffel for this independent analytics benchmark 👏 While we love seeing ClickHouse top the charts, benchmarks always leave us with one thought: could we be even faster? clickhou.se/4oEQktn

58x faster and 3,300x less memory 🤯 ClickHouse v25.8 makes analytics over complex JSON better than ever. Pavel explains how the new JSON type serialisation formats work 👇

The ClickHouse JSON type was already fast, but v25.8 made it 58x faster and use 3,300x less memory. The problem: JSON docs with 10,000+ unique paths killed performance. The solution → clickhou.se/48iNcPb 200k rows, 10k paths: ⚡ 3.63s → 0.063s 💾 12.53 GiB → 3.89 MiB

🚀 What's New in ClickStack – Sept '25 clickhou.se/4gOrZ1H This release brings: • Import/export dashboards • Custom OTel Collector config • Custom aggregations (full CH power 💪) • Time-window chunking + delta() functions

When ProcessOut needed a faster, leaner way to power billions of payment transactions, they turned to ClickHouse Cloud ⚡️ Read how switching from Elasticsearch to ClickHouse cut costs by two-thirds and shrunk latency from minutes to seconds 👇

How do you unify trillions of data points, reduce costs 40%, and eliminate downtime? Ask Changan Ford. Full story:

What do zombies, Bollywood, and romantasy have in common? Nataly Merezhuk will show how JSON, vector, and full-text search in ClickHouse can be used to map relationships across unstructured data at scale and answer your most imaginative questions! Don't miss this talk at PyConUK on Saturday!

Final day of SREDay! Dale McDiarmid takes the stage at 15:00 to introduce ClickStack. Observability vendors built three separate engines because they didn't have a database that could handle logs, metrics, AND traces at scale. We do. And we open sourced the whole stack.

One crypto exchange's actual Datadog bill: $65M/year 🤯 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?

Heading to SREDay today? Don't miss Rory Crispin at 15:00. Store everything, aggregate nothing. Hear about our journey to 100 PB and 500 trillion rows.

100 petabytes. 500 trillion rows. That's our observability platform at ClickHouse. Thurs 18th 15:00: Rory Crispin on why "store everything, aggregate nothing" actually works Fri 19th 15:00: Dale McDiarmid on ClickStack and treating o11y as a data problem, not a search problem clickhou.se/48mvES6

Can more cores make your database slower? Turns out, what flies at 32 cores can crawl at 480. clickhou.se/48rGmGS Intel performance engineers went deep on ClickHouse running on their newest processors - 240+ cores per socket, 480+ cores in multi-socket systems.

Built analytics on Postgres? You know what happens next: works great initially, then queries slow down as you scale. clickhou.se/3IpjLQQ Add ClickHouse speed without a rewrite: - Keep Postgres as source of truth - CDC to ClickHouse - TypeScript APIs with MooseStack - Auto-generated React clients

AI demands more than what traditional databases can deliver. Faster ingestion, sub-second queries, and cost efficiency at massive scale. It's no wonder the world's leading AI companies use ClickHouse. If you're in SF, you can spot our billboards around the city and on the 101! 👀

The ClickPipes Postgres connector now supports CDC from TimescaleDB 🎉 You can: • Rapidly move existing state with parallel snapshotting • Keep hypertables in sync with low-latency CDC • Handle schema changes without breaking the pipeline • Work with compressed tables

📢 ClickHouse’s New Observability Stack Unveiled 📢 #ClickHouse is doubling down on #observability with the release of #ClickStack Check out my fireside chat with @mikeshi42.bsky.social, Head of observability @clickhouse.com, co-founder @hyperdx.bsky.social : 👉 horovits.medium.com/clickstack-c...

📢 August episode is out! 📢 ClickStack: #ClickHouse’s New #Observability Stack Unveiled @horovits.bsky.social hosted @mikeshi42.bsky.social, Head of observability @clickhouse.com 🎧 podcasters.spotify.com/pod/show/ope... 📺 www.youtube.com/watch?v=vdsE... recap post: medium.com/p/73f129a179a3

What happens when you combine Slack, MCP, ClickHouse and data viz? Chat-native agentic BI. We upgraded our Slack agent demo with the ability to generate charts directly inside a Slack thread.

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

We're taking Open House on the road 🚗 Join us for free, half-day events in Sydney, NYC, Bangalore and Amsterdam this October. Register at: Sydney 👉 clickhouse.com/openhouse/sy... NYC 👉 clickhouse.com/openhouse/nyc Bangalore 👉 clickhouse.com/openhouse/ba... Amsterdam 👉 clickhouse.com/openhouse/am...

ClickHouse vs Postgres UPDATEs. Now its 🔥HOT🔥 Last week we compared raw engine performance with cold results. Now we’ve warmed up those caches to see more real-world hot results. ⚡ Single-row hot: Postgres leads by 2-3ms 🚀 Bulk hot: ClickHouse is up to 700x faster 👉

How do you stream changes from Delta Lake into ClickHouse? 1️⃣ We share what we learned using Delta Lake CDF 2️⃣ We open sourced a Python reference CDC implementation 3️⃣ Performance, schema design, and caveats

Get ready for House Party: The SQL 🕺 🪩 The Chainsmokers are back for round two on Dec 2 in Vegas. This is where database engineers become dance floor legends! Sign up to save the date and get notified the moment registration opens. clickhouse.com/company/even...

An ORM for ClickHouse? Let's look at the open-source, MIT-licensed project Moose OLAP from fiveonefour. Inspired by the likes of SQLAlchemy, Drizzle and Prisma, it adapts the ORM experience to work on analytical databases like ClickHouse. clickhou.se/3JkY30l

Curiosity got the better of us: how do ClickHouse’s new UPDATEs compare to Postgres? clickhou.se/3Hx2XXx ⚡ Single-row updates: parity 🚀 Bulk updates: up to 4,000× faster

HIPAA and PCI self-service deployments are now generally available in ClickHouse Cloud!

ClickHouse has a wonderful feature that is often forgotten - table cloning: presentations.clickhouse.com/2024-release... You can take any table and create an instant snapshot (aka branch) of it. This feature has been available since 24.10. Instant backups of large tables - one of the applications.

We are live with the ClickHouse 25.7 release webinar. Join us for demos & Q/A www.youtube.com/watch?v=P1Ts...

Is Slack the new BI layer for the AI era? It's now possible to build custom, self-service agentic analytics experiences in a single afternoon thanks to Slack, @pydantic.dev @anthropic.com MCP and ClickHouse

It's the ClickHouse 25.7 release. What do you hope will be released this month? Also, join us for the live demos & Q/A clickhouse.com/company/even...

Welcome Kevin Egan as our CRO! With a history of scaling giants like Atlassian, Slack & Salesforce, now he's joining us for the next big chapter! 🚀 clickhouse.com/blog/kevin-e...

Every day, @OpenAI ingests petabytes of log data, the equivalent of 📚 500 Libraries of Congress or 📸 2 billion iPhone photos. Here’s why they chose @ClickHouseDB for observability, and how it held up under pressure 🚀🔍:

We are live with the 25.6 ClickHouse release call. Join us now for feature overviews, live demos, and Q&A www.youtube.com/watch?v=_9IB...

It's the 25.6 release and community call. Join us for feature overviews, live demos, and Q&A clickhouse.com/company/even...

ClickHouse was already ahead. Now it’s tuned. With two espressos! Kidding, dictionaries. 🚀 Up to 6.6× faster queries 💸 60% lower cost 📊 See the full benchmark:

We ran the Databricks vs. Snowflake JOIN benchmark on ClickHouse Cloud, here’s what happened. dub.sh/O2mGXmS

Last year, we shared how we saved millions by moving off Datadog and onto ClickHouse. dub.sh/N5xB22L Since then, things have scaled… a lot. 🚀 From 19PB → 100PB of uncompressed logs 📈 40 trillion → 500 trillion rows 💥 20× more throughput, using 90% less CPU

It’s time for the ClickHouse 25.6 release call with Alexey Milovidov 🔥 This release features: - ClickHouse’s native time datatype to keep you on schedule - JSON reader for Parquet files Catch the full update on June 26th on Zoom and YouTube live. clickhouse.com/company/even...

Parsing ClickHouse SQL in Rust: github.com/ClickHouse/c...

New video, only 11 minutes: www.youtube.com/watch?v=8yH3...

Open House session recordings are live! 🍿Catch up on the latest ClickHouse releases, customer stories and user interviews at clickhouse.com/openhouse#vi....

New article about data engineering, now with birds: clickhouse.com/blog/birds

ClickHouse Release 25.5 is published! Presentation: presentations.clickhouse.com/2025-release... Video: www.youtube.com/live/wxicecq... Changelog: github.com/ClickHouse/C...

Maruth Goyal joins the Open House speaker lineup to share how Anthropic leverages ClickHouse to improve observability. 🔍 See you in San Francisco next week! clickhouse.com/openhouse

Live next week at Open House 🎙️ Hear how the OpenAI observability team scaled ClickHouse as ChatGPT adoption, and log volume, skyrocketed. Register at clickhouse.com/openhouse

Parquet powers Iceberg and Delta Lake. ClickHouse powers lightning-fast queries on Parquet. This post takes you deep inside the query engine to show how it works, and why that makes ClickHouse a formidable Lakehouse engine. buff.ly/ZUE8C73

Lyft is set to speak at Open House on May 29th 🙌 Hear first-hand how Lyft leverages ClickHouse for near real-time and sub-second analytics enabling swift decision-making. Register to hear their talk at Open House: clickhouse.com/openhouse