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The Lakehouse-Native Data Streaming Platform for Kafka and Pulsar

Run mission-critical Pulsar messaging and cost-efficient Kafka streaming — all powered by Ursa, no app changes.

Up to 95% Lower Kafka TCO

Move Kafka to Ursa — no broker disks, no copies, no inter-AZ replication.

Two Services, One Engine

Pulsar and Kafka on one lakehouse-native engine.

Zero App Rewrites

Keep your Kafka and Pulsar APIs — no app rewrites needed.

What's New

Ursa Everywhere: Lakehouse-Native Streaming Across All Deployments

Ursa, our lakehouse-native streaming engine, is now available across Serverless, Dedicated, and BYOC deployments — with 90-95% cost reduction and VLDB 2025 Best Industry Paper recognition.

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THE TRAPS

Kafka's Cost, Scale, and Elasticity Traps

Hidden Cost Traps

Inter-zone transfer, disk replication, and over-provisioned compute quietly inflate Kafka’s total cost.

Connector & Copy Sprawl

Moving data to lakehouses needs fleets of connectors and duplicated copies—adding latency and fragility.

No True Queue Semantics

Work queues, retries, and DLQs require extra patterns and services—raising complexity and tail latency.

THE WAY OUT

A Lakehouse-Native Streaming Backbone for Your Entire Organization

10× faster and up to 95% lower Kafka TCO—that's why Fortune 500s and unicorns trust StreamNative to run mission-critical messaging and streaming.

StreamNative data streaming architecture

StreamNative is Recognized in The Forrester Wave™: Streaming Data Platforms, Q4 2025

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Forrester Wave Recognition - StreamNative

HOW WE DO IT

Build Your Streaming Backbone with StreamNative

StreamNative combines the heritage of Apache Kafka and Apache Pulsar with the award-winning Ursa engine to deliver four core capabilities—Kafka, Pulsar, Universal Connect, and Universal Linking. Together, they replace fragmented systems with a single, lakehouse-native streaming backbone.

Kafka Service

Kafka Service

Replatform Kafka on Ursa for lakehouse-native streaming. Keep your Kafka APIs and ecosystem; gain a leaderless, diskless engine that cuts cluster sprawl and writes directly to Iceberg/Delta.

Native Kafka service

Up to 95% lower Kafka TCO

THE ADVANTAGE

Built to Run Real-Time Business at Any Scale

Low latency, high throughput, and lakehouse-native by design.

One architecture for queues and streams

Choose Pulsar for low-latency messaging and Kafka for high-throughput streaming—both powered by Ursa for a consistent, modern operating model.

Streams become tables by default

Data lands directly in Iceberg/Delta under your catalog, eliminating fragile ETL pipelines and bolt-on stream-to-table tools.

Object storage economics, real-time performance

Ursa uses a leaderless, diskless design to deliver ultra-low-cost topics and high throughput without sacrificing low latency.

Run it your way

Choose Serverless, Dedicated, BYOC, or Private Cloud to match your security, compliance, and operational requirements.

Built for today—and for Orca

A rock-solid real-time backbone now, and the trusted foundation for running agents safely when you’re ready.

THE PLATFORM

All the Streaming You Need to Move Business Data in Real Time—on One Platform

Mission-critical, low-latency messaging and high-throughput data streaming in one platform.

Pulsar Service

Production-Proven Message Queue

Multi-tenant, durable, geo-replicated messaging with low latency at global scale—for mission-critical businesses such as payments, orders, IoT, and internal services.

Pub/sub and queue semantics in one system

Strong durability, per-key & per-partition ordering, DLQs & retries

Geo-replication and seamless scaling/maintenance

100× lower tail latency with predictable performance

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Kafka Service

Lakehouse-Native Kafka Streaming

Keep your Kafka APIs while Ursa, the storage engine for the runtime, provides a cloud-native, lakehouse-ready engine that eliminates Kafka cluster sprawl and can cut TCO by up to 95%—with no app changes.

Native Kafka service — tools and apps work unchanged

Writes streams directly to catalog-governed Iceberg/Delta tables

No broker disks or cross-AZ replication; separate compute & storage

Up to 95% lower TCO with predictable performance

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USE CASES

What Teams Build on StreamNative

01

Modernize your Kafka & messaging estate

Migrate from self-managed Kafka and legacy queues onto a single platform. Use Kafka and Pulsar to replace brittle point-to-point pipelines with topics and queues that scale, audit, and recover cleanly

02

Lakehouse-Native Analytics

Use Kafka + Connect to land events directly in Iceberg/Delta. BI, ML, and data science teams query fresh data without nightly batch jobs or extra "Kafka → table" tools.

03

Event-driven microservices

Back your microservices with Kafka Service and Pulsar Service. Publish events instead of coupling services with RPC, and consume them from multiple services at their own pace.

04

Agentic AI Ready

When you're ready to run agents, Orca plugs into the same backbone. Agents get live, contextual data from streams and tables—and you keep fine-grained control and audit of what they see and do.