Call for Speakers

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in 8 days

Apache Doris Summit 2026

event starts

21 Oct 2026

event ends

22 Oct 2026

location

Online


Real-time analytics has always been at the heart of Apache Doris. It powers customer-facing analytics, lakehouse analytics, observability, hybrid search, and many other workloads where every second matters.

The agentic era demands even more from real-time systems. AI agents need continuously updated context and low-latency, high-concurrency access to data so they can reason accurately and act on what is happening now. Agent-facing applications are an important new opportunity for Apache Doris, and one of the highlights of Doris Summit 2026.

At the summit, the global Apache Doris community will come together around the full range of real-time analytics. Hear directly from the people building Apache Doris and the teams running it at scale. Discover what works in production, what teams are building across the ecosystem, and how the architecture is evolving for the workloads ahead.

Join us at Doris Summit 2026. Bring the problems you want to solve and the ideas you want to test. Help move Apache Doris and real-time analytics forward.

finished 13 days ago
Call for Speakers
Call opens at 12:00 AM

21 Jul 2026

Call closes at 11:59 PM

29 Sep 2026

Call closes in Pacific Daylight Time (UTC-07:00) timezone.
Closing time in your timezone () is .

We're excited to invite the global Apache Doris community to share your voice at Apache Doris Summit 2026! Whether you are a user, contributor, or innovator in the data ecosystem, this is your stage.


We welcome talks that highlight your experiences, success stories, and lessons learned with Apache Doris, whether it's building high-performance data platforms, designing modern architectures, creating innovative products, or exploring new possibilities for the project.


Bring your insights, challenges, and visions to the summit, and inspire the data world with your journey. Together, let's advance the conversation and push the boundaries of what's possible with Apache Doris.