ClickHouse (@ClickHouseDB)
@ClickHouseDB
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Welcome to ClickHouse, @andy_pavlo 👋
We're launching ClickHouse Labs, a new research group advancing foundational database technology, led by Andy as VP of Database Research.
Andy is an award-winning database researcher, professor at Carnegie Mellon University’s Computer Science Department and longtime leader of the CMU Database Research Group. At ClickHouse Labs, he'll build a team to take on the hardest problems in database systems, testing their work on real workloads and publishing it in the open, across both ClickHouse and PostgreSQL.
Read Andy’s blog:
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ClickHouse x @FulhamFC ⚽
We're proud to be the Club's new principal partner and front-of-shirt sponsor. You'll see us on the home, away, and third kits this season, and at Craven Cottage all year.
We look forward to welcoming our customers, partners, and community to the Cottage this season!
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ClickHouse Cloud users can now provision a fully managed Postgres service, free until June 15, 2026, with a 50% discount after that for the duration of the beta. CDC and pg_clickhouse are included at no extra cost.
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Introducing CostBench: an open benchmark for data warehouse cost-performance. It will help you and your team choose the system that delivers the most performance per dollar for real-time analytical workloads.
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ClickHouse Cloud users can now provision a fully managed Postgres service, free until June 15, 2026, with a 50% discount after that for the duration of the beta. CDC and pg_clickhouse are included at no extra cost.
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See how InMobi, a global adtech and consumer technology company, achieved 20x faster queries and 80% cost savings after switching to ClickHouse
See how Cloudflare, which serves roughly one-fifth of the world’s websites, uses ClickHouse to scale analytics at quadrillion-row scale
ClickHouse obtains query-ready data at 22× lower cost and delivers 28× better write-side cost-performance, using Snowflake as a measured contrast point.
Introducing PostgresBench, a benchmark to compare managed Postgres services.
Postgres handles transactional workloads, while ClickHouse handles analytical workloads. Together they form a unified data stack enabling a "best-of-breed" foundation SaaS and AI applications.
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