Instant compute for your most intensive workloads

• Date: Tuesday, October 13
• Time: 9:00am IST | 11:30am SGT | 2:30pm AEDT | 4:30pm NZDT
• Duration: 30-minute session + 15 minutes live Q&A

⁠⁠Introducing ClickHouse On-Demand Compute

Have you ever needed extra compute for queries without wanting to resize the ClickHouse Cloud service already handling production traffic? With On-Demand Compute, you’re one setting away from routing eligible queries to additional ClickHouse workers through your existing service and endpoint, without resizing the service or provisioning another one.

On-Demand Compute doesn’t ship alone. It also includes:

• A cost-based optimizer (CBO)
• A distributed query execution framework using multi-stage query execution

What the session covers:

Join Shankar Iyer, Senior Software Engineer at ClickHouse, for a technical walkthrough and live demo. See how to use On-Demand Compute, where it fits alongside autoscaling and compute-compute separation, and why data lake queries are an especially strong fit.

• How On-Demand Compute works: See how ClickHouse assigns temporary workers from a managed pool through your existing service.
• Live demo: Watch an eligible select query request additional ClickHouse workers and review the allocation.
• Where it fits: Explore use cases ranging from ad hoc queries to queries over your data lake, where On-Demand Compute is an especially strong fit.
• Related features: Learn how the cost-based optimizer and multi-stage query execution distribute work across workers.
• Private preview scope: Understand current capacity behavior, supported queries, and limitations.
• Roadmap: Review the six-month roadmap for ClickHouse On-Demand Compute.
• Live Q&A: Bring your questions for the ClickHouse team.

Who should attend

This session is for data engineers, analysts, platform teams, and architects using ClickHouse Cloud who want to evaluate additional compute for ad hoc analysis, selected non-critical reads, or supported data lake queries without resizing the primary service.

Note: On-Demand Compute is in private preview. Support is limited to eligible select queries, worker availability is best effort, and ClickHouse Cloud SLOs and SLAs do not apply.

Join the private preview