Ryadh Dahimene retweeted
📢 We are excited to announce that we're joining forces with @peerdbinc, a Change Data Capture (CDC) provider focused on @PostgreSQL.
This collaboration will enable seamless integration between Postgres and ClickHouse.
Read more below 👇
clickhou.se/4clMKOB
Ryadh Dahimene retweeted
Dale McDiarmid and @ryadhdotnet on "The State of SQL-Based Observability" at Costa del Sol hall #JOTB24
Ryadh Dahimene retweeted
Struggling to handle loading massive datasets? Our new ClickPipes connectors for S3 & GCS are here to help, and are now available in beta! Effortlessly load billions or trillions of rows from object storage into ClickHouse Cloud. Learn more 👇!
clickhou.se/3Uq2rhU
RT @ClickHouseDB: OpenTelemetry + ClickHouse = 💛
Say hello to the ClickHouse @grafana Plugin v4.0! This update includes a deeper integrat…
Ryadh Dahimene retweeted
Using the second fastest option (@ClickHouseDB) to work with some VPC Flow Logs because the first fastest option (/dev/null) doesn't quite do what I need it to.
(holy HELL is ClickHouse fast; wtf they doing over there?!)
Ryadh Dahimene retweeted
#Cloudflare achieved scalability to 8 million requests per second, reduced their Mean Time to Recovery (MTTR), and experienced a sevenfold improvement in query throughput on switching from CitusDB to ClickHouse,.
#Ebay: The streamlined architecture of ClickHouse led to reduced DevOps work and troubleshooting, a tenfold decrease in hardware requirements, and enhanced integration with Grafana.
#Spotify: ClickHouse enabled handling thousands of sub-second queries per second on petabyte-scale datasets, reducing routine tasks, empowering feature teams with self-service for insights, and facilitating tools for automated decision-making.
#Uber's transition to ClickHouse for its logging platform led to a threefold increase in data compression, a tenfold boost in performance, and halved the hardware costs, thereby enhancing developer productivity and system reliability.
But how does @ClickHouseDB works? What makes it so fast? Episode #57 is live on The GeekNarrator podcast where you can understand whats going on behind the scenes.
youtu.be/sh5EBqrrwEU?si=-X6n…
Ryadh Dahimene retweeted
Does your use case require in-stream joins? Explore how to use @RisingWaveLabs with ClickHouse to augment your data in-flight, illustrated through their retail shopping example! 🛍️ 👇
🏠🌊Pair up @ClickHouseDB and RisingWave for seamless real-time data ingestion, transformation, and analysis!
In this blog, Heng Ma shows the case of joining a stream with a table to enrich data.
📑 For the full blog, read: risingwave.com/blog/real-tim…
Ryadh Dahimene retweeted
2023, what a year it has been for ClickHouse Cloud! 🤘
We've rounded up all the great work the team has accomplished this year in our latest blog.
Bring on 2024 💪🚀
clickhouse.com/blog/celebrat…
Ryadh Dahimene retweeted
Coffee and cake, wine and cheese…everyone loves a perfect pairing. That’s why we’re big fans of connecting Redpanda with @ClickHouseDB—a swift and open-source #database for real-time apps and #analytics 🤝
Watch how they work together in just 5 mins👇
Redpanda is a streaming data platform written in C++ that's Kafka protocol compatible. In our latest video, we show how to ingest data from Redpanda into ClickHouse ✨
clickhouse.com/videos/ingest…
Ryadh Dahimene retweeted
Redpanda is a streaming data platform written in C++ that's Kafka protocol compatible. In our latest video, we show how to ingest data from Redpanda into ClickHouse ✨
clickhouse.com/videos/ingest…
Ryadh Dahimene retweeted
we just released Supabase Wrappers 0.2 which you can use to query external systems from inside postgres
it currently supports:
◆ Stripe
◆ Airtable
◆ Auth0
◆ ClickHouse
◆ BigQuery
◆ Firebase
◆ AWS S3
◆ Logflare
read more ↓
supabase.com/blog/supabase-w…
Ryadh Dahimene retweeted
Great post from @Vimeo Engineering about migration to @ClickHouseDB from HBase for customer-facing video analytics, used by millions of users from individual content creators to large enterprises and handling over a billion events per day. medium.com/vimeo-engineering…
“ClickHouse emerged as the unrivaled frontrunner. It excelled across the board, even astonishingly so in certain domains, and proved more cost-efficient.” — zeev link.medium.com/cF5YatlUuFb
"In each step of the observability pipeline, new ideas and projects emerged to offer alternative solutions that effectively bring SQL back into the observability game"
#OpenTelemetry #ClickHouse
clickhouse.com/blog/the-stat…
Ryadh Dahimene retweeted
What's the ultimate #observability query language on your radar? 💬
At ClickHouse, we're betting on the timeless champion: #SQL ! ✨
Learn more about the state of SQL-based observability here, and how it may help you cut costs and boost flexibility 👇
clickhouse.com/blog/the-stat…
An idea 💡
Efficient real-time OLAP stores combined with the maturity of OSS #observability standards (like #OpenTelemetry) now allow for applying the time-tested SQL principles to Observability.
Do you agree?
What's the ultimate #observability query language on your radar? 💬
At ClickHouse, we're betting on the timeless champion: #SQL ! ✨
Learn more about the state of SQL-based observability here, and how it may help you cut costs and boost flexibility 👇
clickhouse.com/blog/the-stat…
Ryadh Dahimene retweeted
The recording for the Redpanda Office Hours for November is available now.
You can watch how we built a simple gaming leaderboard in 45 minutes with Redpanda, ClickHouse, and Streamlit.
youtube.com/watch?v=KhDwcSko…
Ryadh Dahimene retweeted
Just read it.
Seriously.
@ClickHouseDB for the win.
New blog post detailing Druid deprecation and ClickHouse adoption at Lyft!
Read more at: eng.lyft.com/druid-deprecati…
Ryadh Dahimene retweeted
ClickHouse Keeper: Efficient Apache ZooKeeper Alternative Created with C++ and Raft bit.ly/3T9FqiT by @RafalGancarz
Ryadh Dahimene retweeted
We successfully finished the migration of a massive Clickhouse database setup from a datacenter to AWS. It contains 100Tb+ data. This was the most complex challenge on the current project, and we have successfully completed it. 🚀 #DatabaseMigration #AWS #DataManagement #Clickhouse
