Data at Scale is a single-day, single-track conference in Amsterdam on best practices in large-scale data processing hosted by your friends at ClickHouse.

One day, in person, no product pitches; real engineering on real data.

We're looking for talks grounded in real-world analysis of large datasets. We want to hear from the engineers who actually did the work, what they measured, what broke, what they fixed, what they learned at scale.

What we accept

• Real-world case studies on large datasets (billions of rows, terabytes-plus, or whatever "large" means in your domain)
• Technical deep dives on systems behavior at scale: performance, storage, distribution, query planning, ingestion, reliability
• Lessons from production incidents, migrations, or scaling efforts
• Novel techniques, benchmarks, or analyses with substantive results

What we don't accept

• Product pitches or marketing talks
• High-level overviews without data or implementation detail
• Talks that can't show real numbers, real datasets, or real results

Vendor submissions

Vendors and competitors are welcome. Same bar as everyone else: you must present substantive technical results, not your product. We favor non-vendor and practitioner submissions, but a strong vendor talk on real data will be accepted on its merits.

Travel and logistics

Speakers cover their own travel and accommodation. We do not provide travel stipends. 

Recording

All talks are recorded and published on YouTube after the event.

Key dates

CFP closes: 20 June 2026 (hard deadline)

Notifications: by 26 June 2026

Event: 7 July 2026 in Amsterdam