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description= Run Native Apache Kafka and Pulsar on Lakestream — powered by Ursa for up to 95% lower TCO with zero app changes. Stream directly into Iceberg/Delta on open lakehouse formats.;
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native apache kafka pulsar on lakestream streamnative data streaming summit 2026 call for papers is open submit your talk dismiss announcement early access apache pulsar 5 0 on streamnative cloud be among the first to try the future of streaming request early access dismiss announcement why streamnative products pricing solutions resources about login try free native apache kafka reimagined on lakestream run kafka and pulsar on ursa up to 95 lower tco zero app changes get started free explore data streaming explore agent engine native kafka pulsar run native kafka and pulsar workloads no app changes lakehouse native streaming stream into iceberg delta for analytics ml and agents agent ready from day one live context from streams with built in governance trusted for mission critical data and ai the next paradigm in data infrastructure explore lakestream a new approach that unifies real time streaming with lakehouse architecture for simpler scalable data systems view details native apache kafka service is now available on streamnative cloud run 100 native apache kafka on streamnative cloud sign up and get 1 000 in credits sign up now overview one real time streaming backbone for your data and agents streamnative gives you the real time streaming backbone and agent runtime streams land as governed iceberg delta tables while ai agents run on a secure event driven runtime streamnative is recognized in the forrester wave streaming data platforms q4 2025 get the report what s blocking enterprises live context is scattered access and guardrails are bolted on to make agentic ai work in production you need live trustworthy data agents that can act on it and clear guardrails on what they re allowed to see and do in most organizations these pieces live in different places data lives in silos kafka clusters separate queues saas apps and lakehouses each hold a piece of the picture there s no single real time backbone feeding both applications and agents agents can t safely reach production ai teams can build agents but connecting them to real production data and tools is either risky bypassing controls or slow and brittle custom integrations guardrails are scattered access control auditing and safety checks are spread across services making it hard to see or shape what agents are actually doing the result agentic ai stays trapped in pilots because data agents and guardrails never fully come together on a single real time foundation how streamnative helps one real time streaming backbone for your data and agents streamnative gives you both the real time streaming backbone and the agent runtime streams from services databases and saas systems flow into a lakehouse native engine land as governed tables and power analytics and ml ai agents then access that backbone through a secure event driven runtime that controls what they can read and which tools they can call real time data backbone real time data backbone run kafka and pulsar on an engine that streams directly into iceberg delta so every team and every agent works from the same live governed data event driven agents event driven agents let agents subscribe to streams coordinate via events and act in milliseconds instead of waiting for batch windows built in governance built in governance use a runtime that enforces policies access scopes and audit on every agent read and action instead of bolting governance on at the edges who we work with built for teams that own real time data and ai streamnative is built for teams at the intersection of real time systems data and ai initiatives platform infrastructure teams modernize kafka and pulsar without rewrites consolidate clusters cut cost and choose your deployment model data analytics teams stream into iceberg delta serve bi and ml from governed tables and prepare for agentic ai ai application teams bring event driven agents into production on live data with clear policies and full audit how teams use streamnative three concrete ways teams get value today and build toward agentic ai tomorrow message queue kafka replacement agent engine production proven message queue run 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 explore data streaming lakehouse native kafka replacement keep 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 explore data streaming event driven agent engine deploy 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 explore agent engine partnered with your data and ai stack streamnative 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 ai organizations 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 how blueshift powers ai driven customer engagement with apache pulsar unify achieves real time go to market scale with apache pulsar and streamnative cloud how q6 cyber tamed 85 billion cyberthreat records with apache pulsar streamnative safari ai cuts cloud costs by 50 while scaling real time computer vision analytics with streamnative driving logistics innovation how transport exchange group modernized with apache pulsar and streamnative view all make your data ready and safe for agentic ai get started why streamnative discover lakestream choose pulsar or kafka streamnative vs confluent pulsar vs rabbitmq customers cisco iterable unify q6 cyber all customers partners databricks snowflake ververica all partners products data streaming overview kafka pulsar universal connect universal linking agent engine overview partner products flink choose your deployment streamnative cloud serverless dedicated byoc streamnative private cloud responsibility model pricing overview streamnative pricing cost calculator solutions use cases streaming lakehouse streaming data pipeline event driven architecture ai agentic all solutions industries martech financial services manufacturing automotive gaming resources general all resources blog events data streaming summit developer academy documentation support technologies ursa apache pulsar apache kafka oxia about company who we are careers contact us press press releases in the news security and trust trust center 2026 streamnative all rights reserved apache apache pulsar apache kafka apache bookkeeper apache flink and associated open source project names are trademarks of the apache software foundation terms of service privacy policy cookie settings why streamnative products pricing solutions resources about 2026 streamnative all rights reserved apache apache pulsar apache kafka apache bookkeeper apache flink and associated open source project names are trademarks of the apache software foundation terms of service privacy policy cookie settings
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