As CEO of @ClickHouseDB, and on behalf of our co-founders Alexey and Yury, we condemn the Russian invasion of the Ukraine and pray for all victims of this unprovoked aggression.
- Always a joy spending a few days with @AntWilson and @kiwicopple talking all things @supabase and @ClickHouseDB.Them: How much data can you cram into a single image? Me: this much.
- Even in tough times for software, one company is experiencing hypergrowth: @ClickHouseDB Great to sit with @ceo_clickhouse to talk about all things product and GTM - YouTube: tinyurl.com/a6kyxbkt - Spotify: tinyurl.com/bdfvu6ru - Apple Podcasts: tinyurl.com/exd3cc35
00:00 - “We (Lyft) serve the following use cases on ClickHouse: Market health, Policy reporting for bikes & scooters, Spend tracking, Forecasting and market signaling, Experimentation, Campaigns” 👏New blog post detailing Druid deprecation and ClickHouse adoption at Lyft! Read more at: eng.lyft.com/druid-deprecat…
- “@ClickHouseDB emerged as the unrivaled frontrunner. It excelled across the board, even astonishingly so in certain domains… queries were a lightning-fast 10✕ improvement, with storage efficiency magnitudes better at 2–3✕.” @Vimeo 👏
- Postgres: 14.73 seconds 🤮 Clickhouse: 0.095 seconds 🤩Our Postgres database was performing so freaking slow when trying to load our stats page in real time, so we migrated our biggest queries to Clickhouse. The results have been outstanding. When comparing the two queries: Postgres: 14.73 seconds 🤮 Clickhouse: 0.095 seconds 🤩
- "$0.56 and 3 minutes to query 1 trillion rows in ClickHouse" 👋$0.56 and 3 minutes to query 1 trillion rows in ClickHouse? That's quicker (and maybe cheaper?) than making a cup of coffee at home! Data analytics has never been this accessible. clickhou.se/3V4nQhf
- tech.marksblogg.com/postgresql-to-… "If a dataset has 100M+ records and needs to be joined to another dataset with at least 10M+ records, then we'll load it into @ClickHouseDB instead."
- "Like this custom Datadog metrics that we were able to replace by a simple @clickhousedb. Days of work: 3 Savings: $36k/year" 👋💰 Starting a quick "trimming the fat" project at ScrapingBee. We haven't looked at infra cost in a while and there's a lot to do. Like this custom Datadog metrics that we were able to replace by a simple Clickhouse DB. Days of work: 3 Savings: $36k/year Next ➡️ servers!
- Love seeing @ClickHouseDB highlighted by @awscloud in their new object storage for low-latency analytical workloads.















