GeezerVison is showing streamnative.io — StreamNative — The Streamhouse for the Age of AI Models Are Commoditized. Context Isn't.Keep the current state of your business continuously available to apps, analytics, and agents. Native Kafka & PulsarNo rewrites: the protocol is just an interface. Same Ground as Your LakehouseStreams and tables share one open infrastructure. Production-Native ContextFresh, governed context for apps and agents. Trusted for mission-critical data and AI Streamhouse:
Data to Run the BusinessA shared data architecture for the age of AI, on the same open infrastructure as your lakehouse. • OVERVIEW From Every Source to Every Application and AgentOne shared data architecture that captures, transports, transforms, governs, and serves the current state of your business — so applications, analytics, and agents can act on it.  StreamNative is Recognized in The Forrester Wave™: Streaming Data Platforms, Q4 2025GET THE REPORT >• WHAT'S BLOCKING ENTERPRISES The Model Isn't the Hard Part. The Context Is.Applications and agents need business context that is fresh, governed, and reliable enough for production — all at the same time. Teams reach for one of two answers, and neither was designed to deliver all three. Source Systems Weren't Built for AgentsPointing agents at source systems runs into missing interfaces, access that is limited for good security and performance reasons, and internal schemas that are hard to read. Lakehouses Were Built for AnalysisThe lakehouse is a good, safe answer, but it was built for batch arrival, internal service levels, and analytical queries — not for running the business as it happens. Fresh, Governed, and Reliable at OnceEach is solved somewhere on its own. Applications and agents that act on events need all three together, continuously, at production service levels. The ResultWhat's needed is a shared data architecture that captures, transports, transforms, governs, and serves the current state of the business, continuously. • HOW STREAMNATIVE HELPS A Shared Data Architecture for the Age of AIThe StreamNative Data Platform keeps the current state of your business continuously available to applications, analytics, and agents: real-time, production-native, and decentralized, on the same open infrastructure as your lakehouse.  Same Open Infrastructure as Your LakehouseKafka and Pulsar run on Lakestream, the open stream storage implemented by Ursa, so streams sit next to your Iceberg and Delta tables on object storage, without a separate stream-to-table pipeline.  Act on Events as They HappenApplications and agents subscribe to live streams and act in milliseconds, instead of waiting for the next batch window to refresh their context.  Put Governance UnderneathPolicy that lives in the foundation follows the data to every consumer. Access scopes, audit, and lineage apply to every read and action instead of being bolted on at the edges. • WHO WE WORK WITH Built for Teams that Own Real-time Data and AIStreamNative is built for teams at the intersection of real-time systems, data, and AI initiatives. Platform & Infrastructure TeamsModernize Kafka and Pulsar without rewrites, consolidate clusters, cut cost, and choose your deployment model. Data & Analytics TeamsStream into Iceberg/Delta and serve BI, ML, and applications from the same governed, continuously current tables. AI & Application TeamsGive apps and agents fresh, governed business context with clear policies and full audit. How Teams Use StreamNativeThree concrete ways teams put real-time business context to work today. Production-Proven Message QueueRun mission-critical messaging on a Pulsar-based queue with multi-tenancy, geo-replication, and low-latency delivery at global scale. Best for: Platform, infrastructure, and application teams Outcome: A reliable "nervous system" for your applications Lakehouse-Native Kafka ReplacementKeep your Kafka APIs while switching to Ursa — a lakehouse-native engine that cuts cluster sprawl, streams into Iceberg/Delta, and reduces TCO dramatically. Best for: Platform and data teams Outcome: One governed streaming backbone for both real-time and analytical use cases Event-Driven Agent EngineDeploy event-driven agents that observe streams, reason over live context, and act in real time — constrained by policies, RBAC, and full audit. Best for: AI and application teams Outcome: Agents that can safely operate on production data and tools Partnered with Your Data and AI StackStreamNative works with technology vendors, cloud data platforms, and system integrators to connect streaming, lakehouse, and AI architectures — so you can plug into an ecosystem instead of building everything from scratch. • SUCCESS STORIES Trusted for Mission-Critical Data and AIOrganizations across industries use StreamNative as their foundation for real-time data, applications, and AI — running everything from payment flows and customer engagement to security analytics and operational intelligence. Make Your Data Ready and Safe for Agentic AI Get Started |
