StreamNative

📢 The CFP for Data Streaming Summit 2026 closes next Friday, July 17! This year, we're bringing the community back to where it all began: Hotel Nikko in San Francisco on October 7–8. And this year, the summit is expanding to become The Data Streaming + Agent Infra Conference. Why? Because AI agents are moving from demos to production—and the infrastructure challenges they face (durable state, event ordering, replayable history, observability at scale) are deeply familiar to anyone who's spent the last decade building streaming systems. We're looking for talks across three tracks: 🔹 Data Streaming Engines — Pulsar, Kafka, Flink, Spark, stream processing, multi-region infrastructure, and real-time platforms at massive scale 🔹 Data Streaming for Agents — Real-time context, memory, retrieval pipelines, event-driven workflows, RAG architectures, and production AI systems 🔹 Agent Harness, Runtime & Governance — Orchestration frameworks, observability, evaluation systems, security, and tool orchestration for autonomous systems This is your chance to share your production stories, technical deep dives, and hard-won lessons with the community. Submit your proposal now 👇 https://hubs.ly/Q04p191D0 #DataStreaming #ApacheKafka #ApachePulsar #Flink #AIAgents #Lakestream #Ursa #DSS26

🚀 Real-time data ingestion just got a whole lot easier. In our latest demo video, we walk you through integrating StreamNative Kafka with ClickHouse Cloud using ClickPipes—a managed integration service that minimizes configuration while maximizing performance. What you'll learn: ✅ 3 ways to connect StreamNative & ClickHouse (Kafka Connect sink, ClickPipes, native table materialization) ✅ Step-by-step ClickPipe setup—from auth credentials to Avro Confluent format ✅ Creating a MergeTree destination table optimized for rapid inserts ✅ Real-time monitoring & pipeline health tracking ✅ Query-time data transformation (including masking sensitive info with concat) Whether you're building analytics pipelines or streaming architectures, this end-to-end tutorial shows you how to establish a continuous data flow in just minutes. 👉 Watch the full demo: https://hubs.ly/Q04p0H770

⏰ Quick reminder: DSS 2026 CFP closes July 17! Have a real-world story on data streaming, agent infrastructure, AI-native apps, or event-driven architecture? Submit your talk and join us October 7–8 in San Francisco. 👉 https://hubs.ly/Q04nphd50 #DataStreaming #ApacheKafka #ApachePulsar #Flink #AIAgents #DSS26

Real-time data is moving fast — and June was packed with momentum. 🚀 In this month’s StreamNative newsletter, we’re spotlighting: ⚡ Governed streaming with StreamNative Kafka Service + Snowflake Horizon Catalog 🌊 The rise of the Lakestream architecture 🔔 Finer-grained alerting in StreamNative Cloud 🎤 Data Streaming Summit 2026 — CFP extended to July 17 📊 New Kafka on AWS cost comparison whitepaper The future of data infrastructure is real-time, AI-ready, and agentic. Which update are you most excited about? Read the full newsletter 👇

Is your data lakehouse actually AI-ready, or is it just a dumping ground for logs? 🏗️ Connecting real-time data streams to scalable analytics used to require a lot of duct tape. But combining Apache Kafka® with Apache Iceberg changes the game for modern data architectures. In our recent teardown with StreamNative and Starburst, we completely unpacked how to build a modern lakehouse that doesn't bottleneck your AI initiatives. A few things we covered: - How to seamlessly pipe Kafka streams directly into Iceberg tables. - Strategies to query massive, real-time datasets without the latency lag. - The exact architecture you need to bridge the gap between streaming and batch. If you are building an AI-ready data stack this year, you need to see this architecture in action. 📺 Watch the recording: https://hubs.ly/Q04mWckT0 #DataStreaming #ApacheKafka #ApacheIceberg #Lakehouse #RealTimeAnalytics #AIInfrastructure #Webinar

🚨 You asked. We listened. The Data Streaming Summit 2026 CFP deadline has been extended to July 17! 📅 October 7–8, 2026 📍 San Francisco 🎤 New CFP deadline: July 17 DSS 2026 is where data streaming meets agent infrastructure — bringing together the builders shaping the next wave of real-time systems and AI-native applications. We want to hear from engineers, architects, and practitioners working on: ⚡ Streaming platforms at scale 🤖 Production agent systems 🧠 AI-native and event-driven architectures 🔍 Agent runtime, observability, governance, and reliability 🌉 The connective tissue between real-time data and intelligent applications Have a production story, hard-earned lesson, technical deep dive, or architecture worth sharing? Now’s your chance! Submit your talk by July 17. CFP link in the comments 👇 #DataStreaming #ApacheKafka #ApachePulsar #Flink #AIAgents #DSS26

Only 2 days left to register! ⏰ Is your Kafka data ready for analytics and AI — or still stuck behind complex ingestion pipelines? Join us on June 25 for a live webinar on how to continuously move Kafka streams into Apache Iceberg tables without building and maintaining custom ETL. 🎯 From Kafka Streams to AI-Ready Iceberg Tables: Building the Modern Lakehouse with StreamNative and Starburst You’ll learn how to: 🔹 Simplify Kafka-to-Iceberg ingestion 🔹 Automate LakeOps and table optimization 🔹 Govern schemas across streaming and analytics 🔹 Enable real-time analytics and AI workloads 🔹 Build on open standards like Kafka, Iceberg, and Trino Save your spot: https://lnkd.in/gn5HU6cZ #ApacheKafka #ApacheIceberg #DataStreaming #Lakehouse 

What a fantastic week at Data + AI Summit! 🚀 Thank you to everyone who stopped by our booth and shared ideas on the future of Streaming + AI. One thing was clear from the conversations we had: AI needs real-time, governed data. That's why we're building Lakestream—an open, cloud-native streaming platform that brings Kafka, lakehouses, and AI together without vendor lock-in. 👋 If we didn't get a chance to connect, we'd love to continue the conversation. ➡️ https://lnkd.in/gCgMeRar ⏰ Last chance: Today is the final day to claim $1,000 in Lakestream cloud credits. ➡️ Use code Lakestream1000 to get started and experience open streaming for AI and analytics workloads: https://lnkd.in/gVGEKxjE See you at the next event! #DataAISummit #StreamingAI #ApacheKafka #Databricks #RealTimeData #AI

🎙️Upcoming webinar on June 25, 2026: From Kafka Streams to AI-Ready Iceberg Tables: Building the Modern Lakehouse with StreamNative and Starburst Join experts from StreamNative and Starburst to learn how to continuously move Kafka data into Apache Iceberg tables and build a modern, open lakehouse architecture for analytics and AI. In this webinar, you'll discover how to: ✅ Stream Kafka data directly into Iceberg tables ✅ Eliminate the complexity of custom ETL pipelines ✅ Enable faster analytics with continuously updated data ✅ Prepare data for AI and ML workloads ✅ Leverage open technologies including Kafka, Iceberg, and Trino Featuring: 🔹 Kundan Vyas, StreamNative 🔹 Ahmed Niyaz, Starburst Register link in the first comment!👇 #DataStreaming #ApacheKafka #ApacheIceberg #Lakehouse #RealTimeAnalytics #AIInfrastructure #Webinar

Live from Data+AI Summit week: Open governance deserves open streaming. 🛡️✨ If you're tuned into the conversations at the Summit this week, you know that unified governance and format portability are top of mind for every data leader. But if your real-time Kafka data is still trapped in operational silos, forcing you to build complex ETL pipelines just to feed your lakehouse, your architecture is fighting against itself. We believe your streaming data should seamlessly inherit your enterprise lakehouse perimeter. To help you achieve true stream-table duality without vendor lock-in, we are highlighting two architectural deep dives on our deep integration with Databricks #UnityCatalog: - 📘 Real-Time Streaming to Managed Tables: Discover how Ursa For Kafka (UFK) allows you to point your existing Kafka applications at StreamNative (zero code rewrites) and watch topics automatically land as fully governed Delta Lake tables. - 📙 Expanding Integration to #ApacheIceberg: Read about our expanded support that allows you to stream directly into Iceberg tables managed by Unity Catalog—giving you ultimate flexibility over your open table formats. By bridging the gap natively at the storage and metadata layer, your streaming data instantly inherits all of Unity Catalog's security, discovery, and lineage controls the moment it lands in your cloud bucket. No connectors. No data duplication. 🎁 Data+AI Summit Special: To celebrate the #DataAISummit week, we are giving away $1,000 in cloud credits to help you spin up your first Lakestream cluster completely risk-free. - Code: Lakestream1000 (Valid only between June 15 – June 22) Catch up on the technical breakdowns and claim your credits below! 👇 Links to both blogs and the signup page are in the comments!