Data Streaming Summit 2025 Returns to San Francisco with 30-Plus Sessions Across Four Tracks

SAN FRANCISCO, Aug. 27, 2025 — StreamNative today announced the Data Streaming Summit is returning to San Francisco on Sept. 29-30, 2025, at the Grand Hyatt at SFO with its most comprehensive agenda to date. This year’s summit addresses three critical challenges facing data streaming platforms: escalating infrastructure costs, persistent data silos between operational streams and analytical systems, and the growing demand for real-time AI capabilities that deliver insights in milliseconds rather than minutes.

The Data Streaming Summit is an annual conference dedicated to advancing the practice and technology of real-time data processing. The event brings together engineers, architects and data leaders to share practical insights and drive innovation in streaming platforms, lakehouse architectures and AI-powered data systems.

Summit Agenda Highlights

An opening keynote on industry trends anchors the event, followed by 30-plus breakout sessions across four tracks delivering practical architectures, benchmarks, and takeaways. Highlights include:

• Four tracks for practitioners and decision-makers:
  • Deep Dive — Architecture internals, performance, and operations.
  • Use Cases — Real-world implementations and measurable outcomes.
  • AI + Stream Processing — Pipelines for intelligent systems and agentic workloads.
  • Streaming Lakehouse — Unifying real-time and historical data under consistent governance.
• Pre-conference training and workshops (Sept. 29) for beginner and advanced audiences.
• Main conference (Sept. 30) with multi-track sessions and community networking.

“We’re at a pivotal moment for real-time data,” said Sijie Guo, Co-founder & CEO of StreamNative. “Teams are under pressure to lower costs, eliminate streaming-analytics silos, and power AI on fresh data. Data Streaming Summit is designed as an open, vendor-neutral forum where the community can compare notes and leave with practical approaches that work across ecosystems.”

Summit Openness by Design

Data Streaming Summit is intentionally vendor-neutral and multi-technology. Innovation – rather than allegiance to a single logo – is driving rapid architectural change. While the Kafka API remains a de facto standard, the rise of agentic AI is pushing platforms to support both queue and stream semantics within the same system, embrace multi-protocol runtimes (Kafka-compatible, Pulsar-native, and beyond), and adopt new designs such as leaderless engines and disaggregated storage. The Summit will convene leaders from across the ecosystem, including contributors and practitioners from StreamNative, alongside invited technology leaders from OpenAI, Netflix, LinkedIn, Uber, Confluent, Redpanda and more to examine these shifts and the future direction of data streaming. Sponsors for the summit include AWS, Ververica, Redpanda, RisingWave, VeloDB and others.

StreamNative Ursa: Bridging Streaming and the Lakehouse – In the Open

Coinciding with the summit, StreamNative is also announcing its Ursa research paper has been accepted by VLDB (Very Large Data Bases). This recognition places Ursa’s architecture within the broader discourse on next-generation data systems and reinforces its role as a practical blueprint for a streaming-augmented lakehouse. Ursa is one innovation among many that will be featured at The Data Streaming Summit.

Within this open, multi-technology context, StreamNative’s Ursa serves as a reference implementation for the agentic era built to lower cost, eliminate streaming-analytics silos, and enable real-time AI. Its design centers on leaderless architecture, lakehouse-native storage, and one durable data copy that can be consumed by multiple engines and accessed through multiple protocols. By aligning with open standards and table formats, Ursa lets teams run streams and tables as a continuum rather than separate stacks.

Ursa reflects the Summit’s commitment to interoperability. It is engineered for multi-protocol usage and cross-engine workloads, so organizations can adopt modern patterns without locking into a single vendor or API. With availability across multiple cloud providers, practitioners can choose the deployment model that fits their governance and performance needs while preserving portability.

For more information on The Data Streaming Summit, visit this link. To register for the Summit, visit this link.

About StreamNative

StreamNative, the data streaming company, offers a high-performance, cost-efficient data streaming platform powered by Ursa Engine, supporting mission-critical operational business applications, AI, and analytics workloads. Built on a leaderless, lakehouse-native architecture, StreamNative eliminates the inefficiencies of traditional systems like Kafka, enabling enterprises to operate at 5% of the cost while unifying streaming and batch data in open formats such as Apache Iceberg and Delta Lake. Trusted by global enterprises and fast-growing unicorns, StreamNative offers unmatched flexibility with Serverless, Dedicated, BYOC (Bring Your Own Cloud), and Private Cloud deployment options—all backed by a 99.95% SLA and 24/7 expert support. Recognized as a Leader in the 2024 GigaOm Radar Report for Streaming Data Platforms, StreamNative ensures real-time data flows with zero operational overhead, empowering organizations to transform raw data into AI-ready insights at unprecedented speed and scale.

Source: StreamNative