Native Apache Kafka Service Is Coming Soon to StreamNative Cloud. Join the waitlist and get $1,000 in credits.
Join Waitlist >Kafka and Pulsar streaming with zero ops. Start instantly, scale automatically, and pay only for what you use.
Create namespaces and topics instantly. Connect your apps and go.
Traffic bursts or new services? Capacity expands and contracts automatically.
Throughput-driven pricing with clear read, write, and retention rates.
Trusted for mission-critical data and AI
• KEY BENEFITS
Run Kafka and Pulsar workloads side-by-side with native compatibility—no client rewrites, no operational baggage.
Track topics, consumer groups, lag, and health at a glance. Self-service provisioning with guardrails.
Elastic scale avoids over-provisioning while keeping latency low for production traffic.
Create an organization, choose an API, and ship events. No VPCs, no Kubernetes, no sizing exercises.
Focus on building applications, not managing servers. StreamNative handles all the underlying infrastructure, ensuring high availability and reliability.
Works with CI/CD, IaC, and your favorite frameworks. Bring existing clients and libraries.
• HOW IT WORKS
StreamNative Serverless provides a fully managed, multi-tenant data streaming environment. You connect directly to managed endpoints—no infrastructure to provision, no clusters to size.

Create namespaces and topics through the console or API. No cluster configuration, no capacity planning.
Resources scale automatically based on throughput. Handle traffic spikes without manual intervention.
Secure namespace isolation ensures your data and workloads remain separate from other tenants.
Deploy pre-built connectors to integrate with databases, data lakes, and cloud services without managing connector infrastructure.
Centralized schema management with compatibility enforcement keeps your data contracts consistent.
Connect from anywhere with public endpoints. Regional deployment ensures low-latency access.
Compare Serverless with other StreamNative deployment options to find the best fit for your needs.
"Our journey with Apache Pulsar and the knowledge we have built together with StreamNative have helped us build a central messaging platform that powers the delivery of millions of packages."
René Laplaine, Manager IT Business Platforms at Intelcom
Customer since 2019
"We trust StreamNative to help us manage the entire lifecycle of data across our enterprise, which supports billions of e-commerce interactions across the globe. There's really no one ahead of StreamNative when it comes to unified messaging and streaming in the cloud."
Ankush Goyal, VP of Engineering at Narvar
Customer since 2019
"Pulsar is unique in that it covers many use cases, while also serving as a viable alternative to many technologies currently in use. It covers all of our use cases and lets us focus on building an excellent system."
Greg Methvin, Iterable
Customer since 2019
StreamNative Serverless uses throughput-based pricing with Elastic Throughput Units (ETUs). You're billed hourly by the highest of ingress, egress, or data-entries. Additional charges apply for data read, write, and storage retention. Billing accrues hourly and is invoiced monthly with Pay-As-You-Go as the default subscription.
Serverless is available on AWS, Google Cloud, and Azure. You can choose the region within those clouds that best fits your latency and compliance requirements.
Serverless supports up to 100 MBps throughput per namespace. For higher throughput requirements, consider our Dedicated or BYOC deployment options.
Yes. Your topics, schemas, consumer groups, and configurations transfer between deployment options. StreamNative's team assists with the migration, and most workloads move with zero application changes since the Kafka and Pulsar APIs remain the same across all deployment tiers.
StreamNative collects operational metrics for monitoring, alerting, and service improvement. Your message data remains secure and is not accessed for any purpose other than delivering the service.
Get started with StreamNative Serverless and experience enterprise-grade data streaming with zero infrastructure management.