ClickHouse retweeted
Part of why I joined @ClickHouseDB is because they do what I would do if I were running a database company.
✅Kept flagship OLAP DBMS open source. No enshitification.
✅Add verticals (agents, observability) on top of OLAP DBMS.
✅Launch Postgres service 1yr after buying PeerDB.
Today we’re announcing the largest expansion of ClickHouse since we launched ClickHouse Cloud, and we’re welcoming the @xata team to ClickHouse.
ClickHouse now serves more than 5,000 customers, including DoorDash, Ramp, Meta, Tesla, Cisco, and Visa. What began as an open source analytical database is now a platform for the full set of data-intensive workloads behind modern applications.
Launching today 🚀
ClickHouse Managed Postgres is generally available.
ClickHouse Observability is in public beta.
ClickHouse Security is in private preview.
Langfuse AI Gateway is in public beta.
And with the acquisition of Xata, the agent-native Postgres company, we’re accelerating instant branching, cloning, and scale-to-zero environments for developers and AI agents. Welcome, Xata!
One open, composable foundation to build, observe, and secure applications.
Read the full announcement: clickhouse.com/campaigns/pla…
ClickHouse retweeted
It is my great pleasure to welcome @monicasarbu, @tudor_g, and the @xata team to @ClickHouseDB! 👏 👏 👏 Excited to supercharge ClickHouse Postgres with instant branching and scale-to-zero capabilities developers require in the agentic era 🚀 So much more to build, and I could not be more psyched to have our band back together 🤘
More on our joint vision here: xata.io/blog/xata-is-joining…
ClickHouse retweeted
If you're looking for something to do on this wet Sunday morning (at least here in the UK) and have been wondering what this @ClickHouseDB thing is all about, maybe check out this demo of the full stack being used to power agentic analytics over real time data. We go all the way from ClickHouse managed Postgres through WAL Shadow and into OG ClickHouse, then surface data from our own semantic layer and agentic frontend. It's all monitored by Langfuse and powered by an open source model hosted at Fireworks.ai. A great way to understand the end to end platform and show what it can do!
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…
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…
ClickHouse retweeted
Today's "Andy at Sea" Database Seminar: Sai Srirampur (@saisrirampur) will discuss how to tightly integrate @PostgreSQL with @ClickHouseDB. Public Zoom talk at 4:30pm ET. YouTube video available after: db.cs.cmu.edu/events/andy-at…
ClickHouse retweeted
I've been taking @ClickHouseDB managed Postgres and the new WAL Shadow integration for a test drive. This stack gives us the ability to create fully managed databases and then replicate data from Postgres to ClickHouse with sub second performance (~200 ms).
This is more than just another boring ETL mechanism.
With this level of latency, we can build applications where half of a screen or half of a user journey is served from a transactional database, and half is served by an analytical database. One blended application or workflow pulling consistent data from the most appropriate data store.
It also opens up new use cases where we can look at low level event data, and combine it with real time analytics across a whole population. For instance, we can take every trade, and compare it against the 100k previous trades in real time. This could be really interesting for fraud, personalisation or the capital markets.
In the example below, we have an trading scenario. Orders are placed, updated and cancelled for a book of exchange traded derivatives. The current state order book is shown and served out of Postgres. The data is immediately replicated into ClickHouse where analytics are then surfaced on the screen. We are pushing around 2.5k orders per second into a pair of small instances which would cost less than $500 per month.
Great work @saisrirampur and team!
ClickHouse retweeted
📣📣📣 Big Berlin Hack is back 🚀🚀🚀
And this time, even bigger:
🗓️ 28 & 29 November
👥 350+ builders from all over Europe
💰 Bigger prize pool
Last time we had >1500 applications for Big Berlin Hack, so better be fast 👀
Registration is now open: luma.com/bbh
Thanks to all of our partners, it's gonna be huge‼️
ClickHouse retweeted
AI made it easier to build, but what is actually worth building?
It's a question many founders ask themselves when starting a new company today.
We are trying to answer this question in Helsinki on the 18th of November, with the most stacked panel we have ever hosted:
It will be a conversation with:
Alexey Milovidov (CTO of @ClickHouseDB)
Erik Bernhardsson (CEO of @modal)
One more speaker TBA
Moderated by Matt Robinson from @Accel
Engineers & technical founders can sign up now: luma.com/best-slush-event
ClickHouse retweeted
So exciting to see the power of WalShadow in action! Literally fusing Postgres and ClickHouse together.
The past month has been intense, rigorous POCs, lots of testing, and a few early production customers! The results have been incredibly promising. 🚀
We’re seeing WalShadow replicate hundreds of MB/s from Postgres to ClickHouse with sub-second latency. Something that was previously impossible to achieve!
Here’s one from Anirudh at @physical_int, 350ms vs. 35 seconds! 🤯
A little bittersweet seeing the comparison with PeerDB, but always wanted to do, take Postgres to ClickHouse replication to the next level.
Huge thank you to Anirudh, @mairbek and the Physical Intelligence team for their support since the beginnning. It means a lot to us! ❤️
Stay tuned for more stories. We’re just getting started! 🔥
ClickHouse retweeted
Really excited about WalShadow. @saisrirampur and the Postgres team at Clickhouse are the best in the business
So exciting to see the power of WalShadow in action! Literally fusing Postgres and ClickHouse together.
The past month has been intense, rigorous POCs, lots of testing, and a few early production customers! The results have been incredibly promising. 🚀
We’re seeing WalShadow replicate hundreds of MB/s from Postgres to ClickHouse with sub-second latency. Something that was previously impossible to achieve!
Here’s one from Anirudh at @physical_int, 350ms vs. 35 seconds! 🤯
A little bittersweet seeing the comparison with PeerDB, but always wanted to do, take Postgres to ClickHouse replication to the next level.
Huge thank you to Anirudh, @mairbek and the Physical Intelligence team for their support since the beginnning. It means a lot to us! ❤️
Stay tuned for more stories. We’re just getting started! 🔥
ClickHouse retweeted
I collected all of my requests to Claude and Codex and put them in a clickhouse db. The data is so fun to play with
ClickHouse retweeted
Special treat for the @andy_pavlo fans out there: an in-depth discussion about what happens to databases when billions of AI agents hit them, his move to build a research lab at @ClickHouseDB, and plently of hot takes on the database market (Postgres, vector, graph, GPU etc)
00:00 Cold open & Intro
01:21 From vector databases and RAG to the age of agents
04:09 Neon's stat: agents create 80% of databases? 07:25 Why agents keep deleting production databases 08:19 Guardrails: the toddler-and-stairs rule
10:51 The four eras of database volume: 10–100x more queries
15:10 Agent memory: files vs. databases ("everything is a database")
18:24 Which database do AI models recommend?
19:25 "It cites me back to myself"
23:14 MCP for databases, and text-to-SQL from 60% to 99.5%
27:09 Trust an agent the way you'd trust a junior developer
27:47 Can AI build an entire database? Opus 4 and the CMU projects
29:57 60% of open-source databases now have AI commits
30:43 Ten years of self-driving databases, Peloton to today
33:52 What LLMs changed: 85% of the tuning in 15 minutes
35:42 Should anyone still study databases?
38:27 Free CMU courses, the DJ, and the Wu-Tang final exam
42:09 Why start a research lab inside ClickHouse?
45:53 Why ClickHouse looked like vaporware in 2016
47:46 What makes ClickHouse fast: columns, vectors, Snowflake's lineage
52:22 Why Databricks, Snowflake and ClickHouse all added Postgres
58:15 Vector, graph and GPU databases: thumbs up or down?
1:08:34 Is the database market stagnant? "A cheetah on cocaine in a Ferrari"
1:10:14 The relational model is arithmetic; SQL as the new assembly
1:11:59 Larry Ellison, Linux, and why databases still matter
ClickHouse retweeted
Our @ClickHouseDB team is at Postgres Summit 2026 in New York City! Go say hi 👋
If you love talking Postgres and/or ClickHouse, you’ll be in good company with this passionate group.
And yes, there’s some very cool, exclusive swag waiting for you! 🐘 🐘 🤗
@amog_iska, Josh Ventura, David Wheeler, Zoe Steinkamp
ClickHouse retweeted
I spend a lot of time talking about ClickHouse Managed Postgres. But our customers running their businesses on it tell the story much better than I can. 🙏 ❤️
Here are 10 production customers, what they’re building, and why they chose our Managed Postgres. 🧵
The list includes fast-growing AI companies to large enterprises, migrating hundreds of GB to multi-TB databases from Aurora, RDS, Neon and more.
@ClickHouseDB
ClickHouse retweeted
Replying to @marcklingen
@marcklingen sat down to demo all langfuse features in a single video.
Agent observability, monitoring, evals, prompt management, and what is special about Langfuse.
Great place to start if you are new, or catch up on latest changes.
langfuse.com/watch-demo
ClickHouse retweeted
Great lineup for Rows & Columns (SF, Sept 22) -- the conference where data leaders discuss the "great convergence" of OLAP & OLTP 🔥
Excited to hear talks from @andy_pavlo, @nikitabase, @h_munzinger, @izrailevsky, and many others!
Register here: rowsandcolumnssummit.com/
ClickHouse retweeted
WalShadow is probably one of the most ambitious projects we’ve taken on.
When we decided to build this six months ago, we genuinely weren’t sure how it would pan out. We were going directly after Postgres’s physical write-ahead log, an area backed by decades of deep engineering expertise.
Now, seeing the early results with customers, especially Postgres → ClickHouse replication latency in the hundreds of milliseconds, it feels totally worth it. It opened up a new world tousers, that wasn’t possible before.
This wouldn’t have been possible without the team’s deep expertise in Postgres replication, the operational lessons we’ve learned onboarding thousands of customers to Postgres CDC, and our experience deep in the Postgres replication and backups, creating and contributing to WAL-G and WAL-RUS
I’m really excited for more customers to try it out.
And perhaps the most exciting part: this brings ClickHouse much closer to becoming a physical analytics standby for Postgres. 🚀 github.com/ClickHouse/walsha…
@ClickHouseDB
ClickHouse retweeted
New episode: "ClickHouse Managed Postgres"
Nik and Michael are joined by @saisrirampur to discuss @ClickHouseDB's new managed Postgres service.
🎧️ postgres.fm/episodes/clickho…
📺️ youtu.be/jRCjB_Vy7cE
























