Our last ClickHouse SF Bay Area meetup was on September 10th and focused on data integration. This turned out to be a popular subject. We had well over 100 signups with 59 people in attendance.[...]Read More
The market for scalable SQL data warehouses is dominated by proprietary products. ClickHouse is one of the first open source projects to give those products a run for their money. ClickHouse scales to hundreds of nodes with ingest measured in millions of events per second. The user community includes CloudFlare, Cisco, and numerous financial services companies. This talk briefly recounts the history of ClickHouse, starting with its origins at Yandex, then dives into popular features. These include column storage with efficient data encoding and compression, vectorized query execution, sharding and replication, and materialized views. We will end with a short survey of popular use cases and questions.
Robert Hodges is the CEO of Altinity, a venture-backed start-up that markets ClickHouse to enterprises. He is also a database geek who has used or worked on over 20 different database systems. Other interests include distributed systems, Kubernetes, and open source. He is an organizer of the San Francisco ClickHouse meetup.
Come learn about ClickHouse , an open source high-performance column-oriented database management system for analytics, at a meetup on February 11, 2020 at the Uber office, Broadway 1400, NYC on the 12th floor.
San Diego Cloud Native Computing Meetup: Data Warehouses on Kubernetes! A gentle intro to the ClickHouse Operator
Rober Hodges, Altinity CEO introducing ClickHouse Operator for Kubernetes. Meet us in San Diego
The year 2019 ended with a burst of ClickHouse community events in the US and Europe. There were many great talks about ClickHouse from users exploring new use cases as well as operating at large scale. Here is a quick rundown.Read More
by Pauline Yeung, Cisco Systems
Presented on December ClickHouse Meetup. Dec 3, 2019
Our journey from using ClickHouse in an internal threat library web application, to experimenting with ClickHouse to migrating production data from Elasticsearch, Postgres, HBase, to trying ClickHouse for error metrics in a product under development.