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Where Data Streaming Meets AI Agent Engine
StreamNative combines real-time data with autonomous AI agents to automate your operations.
• OUR VALUES
The Principles That Guide Us
Builder-led, Customer-focused
We prioritize real outcomes by how reliably and efficiently our customers ship real-time systems.
High Standards with Clarity
We communicate directly, embrace diverse perspectives, and hold a high bar for quality and security.
Open. Unified. Future-Proof
We deliver unified real-time insights, giving customers control, lower costs, and confidence in what comes next.
• OUR STORY
Rethinking Streaming from the Ground Up
StreamNative was founded by the original creators of Apache Pulsar to solve the scalability, cost, and complexity challenges of traditional data streaming platforms like Kafka. We recognized that while real-time data is critical for AI and analytics, existing solutions were expensive, difficult to manage, and lacked native integration with modern data lakehouses.
LinkedIn releases Apache Kafka, launching the era of large-scale event streaming.
Apache Pulsar graduates as an ASF top-level project, unifying streaming and messaging for cloud-native workloads.
StreamNative is founded by the original creators of Apache Pulsar to deliver fully managed streaming for enterprises.
StreamNative raises $23.7M Series A to scale its cloud platform, community, and global footprint.
Ursa Engine debuts — the first lakehouse-native streaming engine, running Kafka on object storage.
Ursa wins the VLDB Best Industry Paper, proving lakehouse-native design cuts streaming TCO by 10×.
• CAREER OPPORTUNITIES
Join us to build the Streaming Intelligence Platform
We're a remote-friendly, impact-driven team focused on reliability. If you're excited about building developer platforms that power real-time AI and agentic systems, explore our open roles.
