SF Bay Area ClickHouse® Meetup News
Get a quick low-down of recent ClickHouse meetups and upcoming community events. Videos and slide decks are included!

Get a quick low-down of recent ClickHouse meetups and upcoming community events. Videos and slide decks are included!

Our team has been busy coming out with new versions of our products since the beginning of the year, so we gathered the entire list for Q1 in one place.


ClickHouse clusters depend on ZooKeeper to handle replication and distributed DDL commands. In this webinar, we’ll explain why ZooKeeper is necessary, how it works, and introduce the new built-in replacement.

In Part 1 we showed how ClickHouse uses parallel processing power to collect aggregates. In Part 2, we’re showing how to make aggregations faster and more efficient.

Summarization is a powerful tool for understanding masses of data. Learn how to make this process efficient and fast through ClickHouse | in part 1 of our ClickHouse aggregation series.

Bloom filters are an important ClickHouse index type with mysterious parameters. Take a closer look at the theory behind bloom filters, parameter selection using queries on a test dataset, and effective tuning.

Today we’re excited to officially announce our partnership with PostHog. We’ve worked with PostHog’s teams on this integration and have collaborated on ClickHouse-related topics since 2020. It’s great to be able to share with the wider open source analytics community…

One of the first when working with ClickHouse is “How do I set up my own ClickHouse cluster™?” This guide is the answer.

Hacker News published a report detailing ClickHouse vulnerabilities. The good news – these were fixed months ago, and the latest Altinity Stable Builds are already updated so they are not affected.

As countless ClickHouse users have learned, Kubernetes is a great platform for data. It’s portable to almost every IT environment. But there’s still the occasional dark cloud. One of these is pod crash loops, which arise when a ClickHouse pod…

A few weeks ago the SingleStore team published interesting research in their blog. They demonstrated how to load 100 billion rows in a database in 10 minutes. While it did not seem outstanding for ClickHouse, we were intrigued to learn…
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