Announcing Data Streaming Summit Virtual 2025

Data streaming is rapidly evolving, transforming how businesses harness real-time information. The fusion of data streaming and AI is unlocking new possibilities, making this an exciting era for developers, architects, and technical leaders in the data ecosystem.

We’re excited to announce the first Data Streaming Summit of 2025—Data Streaming Summit Virtual 2025—taking place on May 29, 2025.

Additionally, we’re planning a second, in-person event later in the year in October —stay tuned for more details!

Data Streaming Summit Virtual 2025 - May 29, 2025

Join us online to explore the latest in data streaming technology, trends, and best practices. This virtual edition removes geographical barriers, bringing together a global community of data streaming enthusiasts. Whether you’re new to the field or a seasoned practitioner, you’ll find value in:

• Engaging Talks & Technical Deep Dives
• Keynotes & Expert Panels
• Real-World Industry Use Cases
• Interactive Workshops & Networking Opportunities

Technologies covered will include messaging and data streaming platforms such as Pulsar, Kafka, Ursa, and other Kafka-compatible solutions, as well as stream processing technologies like Flink, Spark, RisingWave, and more. Learn from the brightest minds in data streaming—right from the comfort of your home or office.

Theme: Unlocking Real-Time AI

The need to unlock real-time AI emerges as a defining theme in 2025, spotlighting the powerful convergence of real-time data and artificial intelligence. As organizations deepen their investments in AI, a clear truth emerges—AI is only as robust as the data feeding it. Yet, siloed and fragmented data often stands in the way of unlocking AI’s full potential.

The key to operationalizing AI effectively lies in real-time, governed data products—trusted, reusable assets that power AI and analytics regardless of their source. Achieving this level of data readiness requires seamless integration between data streaming platforms and modern lakehouses, ensuring data flows continuously between operational and analytical systems while maintaining accuracy, context, and usability.

This year’s summits will focus on how streaming technologies intersect with lakehouses to support real-time AI applications ranging from anomaly detection to AI-driven analytics and intelligent automation.

Call for Speakers is Now Open!

We invite speakers to submit proposals for our first virtual event. Whether you’re a data streaming expert, an AI enthusiast, or an industry practitioner, we encourage you to share your knowledge. If you’re interested in presenting your story, submit your talk proposal here!

Topics of interest include:

1. Data Streaming + AI – How are organizations building intelligent, real-time systems? Share experiences powering AI-driven applications, real-time machine learning pipelines, or intelligent automation. Explore best practices for ensuring trustworthy data and integrating streaming data into AI models.
   
   
2. Learning Data Streaming (Pulsar, Kafka, Ursa, and More) – If you’re passionate about educating others, submit an entry-level talk introducing Pulsar, Kafka, or Ursa. Cover key concepts, architectures, and best practices to help newcomers kick-start their data streaming journey.
   
   
3. Deep Dive into Data Streaming – For technical experts, we welcome advanced discussions on Pulsar, Kafka, Ursa Engine, and cutting-edge architectures (e.g., leaderless streaming, lakehouse-native storage, real-time data processing optimizations). How do you design scalable, high-performance streaming infrastructures, and what challenges have you solved at scale?
   
   
4. Real-Time Ingestion into the Data Lakehouse – Streaming is the backbone of modern lakehouse ingestion, enabling AI and analytics teams to work with up-to-date, trustworthy data. We invite talks on best practices, challenges, and architectures for integrating real-time streaming with lakehouses like Delta Lake and Iceberg.
   
   
5. Unifying Governance and Access with Data Catalogs – As real-time and AI-driven data ecosystems grow, so does the importance of governance and unified access. We welcome insights on bridging real-time streaming with data catalogs and metadata management to ensure data consistency, security, and AI readiness.
   
   
6. Stream Processing and Ecosystem – Have you built tools or integrations that enhance Flink, Spark, RisingWave, or other stream processing frameworks? Share your experiences optimizing event-driven architectures, real-time analytics, or complex streaming pipelines, and discuss how you balance latency, scalability, and cost-efficiency.

Registration Coming Soon

We will open registration for Data Streaming Summit Virtual 2025 in the coming weeks. Stay tuned for more details, including early-bird pricing, schedule highlights, and speaker announcements. In the meantime, be sure to subscribe to the Data Streaming newsletter to receive the latest news and updates directly in your inbox. We look forward to having you join us!

Sponsorship Opportunities

We invite vendors and organizations to sponsor these premier data streaming events, including the virtual summit in May and the in-person event later this year. This sponsorship offers a unique opportunity to showcase your brand, connect with industry leaders, and engage with a highly targeted audience of data streaming professionals. Whether you seek to increase brand visibility, generate leads, or demonstrate thought leadership, we have sponsorship packages to fit your needs. For more information on sponsorship packages, please contact us at organizers@datastreaming-summit.org. Join us in shaping the future of data streaming and AI by becoming a sponsor today!

Submit your talk proposal and be part of a dynamic community shaping the future of data streaming and AI. We look forward to seeing you at both events—virtually in May and in person in October, 2025!

Let’s unlock real-time AI—together, across the globe.

‍