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The StreamNative Data Platform
A shared data architecture for the age of AI — real-time, production-native, and decentralized.
Real-time
Current to the millisecond rather than hours old.
Production-native
Engineered to production service levels.
Decentralized
Meets data where it already lives.
Serverless Kafka Private Preview
StreamNative Cloud now supports Serverless Kafka in Private Preview — a fully managed, elastic, pay-as-you-go Kafka experience with topic-level performance profiles.
• 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
One Real-Time Foundation for Apps, Agents, and Your Lakehouse
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 is Recognized in The Forrester Wave™: Streaming Data Platforms, Q4 2025
GET THE REPORT
• HOW WE DO IT
Meet Data Where It Lives. Keep Every Interface Open.
StreamNative combines native Apache Kafka and Apache Pulsar with the award-winning Ursa engine. Universal Connect and Universal Linking bring in data from where it already lives, and because interoperability is solved in storage, the protocol becomes a choice of interface, not a choice of data silo.
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
Pulsar Service
Run production queues and pub/sub with Pulsar. Multi-tenant, durable, geo-replicated messaging with low latency at global scale—for mission-critical businesses such as payments, orders, IoT, and internal services.
Multi-tenant, geo-replicated messaging
Predictable low-latency delivery
Universal Connect
Run Kafka Connect and Pulsar IO connectors, including change data capture, on one runtime. Bring continuously changing data in from databases, SaaS apps, and logs without rewriting connectors or centralizing it first.
Kafka Connect & Pulsar IO on one runtime
CDC without rewriting connectors
Universal Linking
Now in Public Preview. Mirror data and schemas from existing Kafka clusters into StreamNative Cloud without downtime, with full-fidelity topics and consumer offsets, so you can adopt incrementally instead of through a disruptive migration.
Full-fidelity topics, schemas, and offsets
Real-time migration and disaster recovery
• THE ADVANTAGE
Data to Run the Business, Not Just Analyze It
The lakehouse analyzes the business; a Streamhouse runs it. Both are built on the same open infrastructure.
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
Events land as Iceberg and Delta tables in your object storage and catalogs, with no stream-to-table pipeline.
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.
Open interfaces for apps and agents
Kafka and Pulsar for streams, Iceberg and Delta for tables, PostgreSQL for queries, MCP for agents.
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
Events land as Iceberg and Delta tables in your object storage and catalogs, with no stream-to-table pipeline.
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.
Open interfaces for apps and agents
Kafka and Pulsar for streams, Iceberg and Delta for tables, PostgreSQL for queries, MCP for agents.
• 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
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
• USE CASES
What Teams Build on StreamNative
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
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.
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.
Fresh Context for AI Agents
Serve agents fresh, governed context from streams and tables through open interfaces like the StreamNative MCP Server, with fine-grained control and audit over what they see and do.
• SUCCESS STORIES
Proven in Production
StreamNative is built for teams at the intersection of real-time systems, data, and AI initiatives.
• RESOURCES
Learn More About Lakehouse-Native Data Streaming
Explore the Future of Data Streaming and AI — Data Streaming Summit San Francisco 2025 Schedule Announced
StreamNative Expands with Kafka Queues, Azure Support, and Ursa for Private Cloud
