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Real-time Data, Unleashed. Agentic AI, Under Control.
Agentic AI on enterprise data, without giving up control.
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
Native Apache Kafka Service Is Coming Soon to StreamNative Cloud
Join the waitlist for Native Apache Kafka Service on StreamNative Cloud and get $1,000 in credits.
Read our blog post →• 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
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• 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
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
Let agents subscribe to streams, coordinate via events, and act in milliseconds instead of waiting for batch windows.
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.
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
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
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
• 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.