Date: Sept 30, 2025
Location: Grand Hyatt at SFO
Tracks: Deep Dive · Use Cases · AI + Stream Processing · Streaming Lakehouse
This year’s Data Streaming Summit brings the most open, practitioner-driven agenda we’ve ever hosted: 30+ sessions across four focused tracks featuring builders from OpenAI, Netflix, Uber, Google, Blueshift, Confluent, Ververica, StreamNative, and many more.
Why This Year Matters
We’re at a pivotal moment for the industry. Data Streaming platforms are evolving rapidly to meet three core challenges:
- Escalating costs of running traditional streaming infrastructure.
- Data silos between operational streams and analytical systems.
- The AI imperative — delivering insights and actions in milliseconds, not minutes.
At DSS SF 2025, we’ll explore how innovation in architecture, governance, and open standards is addressing these challenges — and shaping the next decade of data streaming systems.
Opening Keynotes
The morning keynotes will feature industry leaders from OpenAI, Motorq, and StreamNative, sharing how innovation in streaming, analytics, and AI is redefining the future of data infrastructure. (More keynote speakers to be announced.)
Special Session
We’re excited to host a fireside chat with Reynold Xin (Co-founder and Chief Architect, Databricks) on lakehouse, data streaming, and AI. This conversation will bring together insights from one of the most influential voices in the modern data ecosystem, exploring how these three pillars are converging to shape the future of real-time data infrastructure.
Four Concurrent Tracks — 30+ Sessions
- Deep Dive — internals, performance tuning, and operational excellence.
- Use Cases — real-world architectures delivering measurable results.
- AI + Stream Processing — pipelines powering intelligent systems.
- Streaming Lakehouse — unifying real-time and historical data under a single governance layer.
Hands-on engineering insights you can apply immediately — from low-latency patterns to Iceberg-powered streaming lakehouses, schema governance, and Pulsar/Kafka operations at scale.
Don’t Miss These Highlights
- Blueshift — Next-Gen Data Infra: Building Resilient, Scalable Architecture with Apache Pulsar (Use Cases)
- OpenAI — Streaming to Scale: Real-Time Infrastructure for AI (Use Cases)
- Salesforce — Insights from Streaming 300B Telemetry Trace Spans per Day with Flink (AI + Stream Processing)
- Netflix — Kafka Under Pressure: Netflix’s Blueprint for Unshakeable Kafka Resilience (Use Cases)
- Uber — Safe Streams at Scale: Uber’s Deployment Safety Framework for Flink Jobs (AI + Stream Processing)
- Google — Beyond Stream Ingestion: Building Google-Scale, AI-Powered Stream Processing Pipelines with Just SQL (AI + Stream Processing)
- OpenAI — StreamLink: Real-Time Data Ingestion at OpenAI Scale (Streaming Lakehouse)
And Deeper Dives You’ll Talk About All Quarter
- Beyond CAP: A New Theorem for Modern Data Streaming — Main Hall, StreamNative
- Are Your Kafka Guarantees Actually Guaranteed? — Main Hall, Antithesis
- High-Throughput Streaming in the Lakehouse with Non-Blocking Concurrency Control in Flink & Hudi — Streaming Lakehouse, Onehouse
- Flink Changelog Modes — Why You Should Care — AI + Stream Processing, Confluent
Closing Panel Discussion
A conversation with industry leaders on the future of data streaming. (Full details coming soon.)
Join Us
📅 Check the full schedule: Schedule
🎟 Get an earlybird ticket: Eventbrite Registration
Looking forward to seeing you at the Grand Hyatt at SFO!
