Event-Driven Applications

Leverage a data streaming platform that integrates queuing, streaming, and pub/sub into a unified messaging model, supporting popular protocols from Pulsar and Kafka to MQTT and JMS. Choose the protocol you're most familiar with. Experience seamless migration at no additional cost and enjoy the experience of developing a new breed of event-driven, real-time applications that are modular, contextually aware, highly scalable, and resilient.

Transform Your Approach to Data and Services

Overcome the challenges of data integration and access to fully harness the potential of microservices. Accelerate application development by ensuring seamless access to reusable data streams.

Decouple your services

Build a shared source of truth, so all your services have the most up-to-date and accurate picture of the data at large.

Empower Developer Data Autonomy

Enable your teams to independently manage their data needs by providing self-service access to high-quality data streams.

Modernize at your pace

Incrementally refactor monoliths to microservices while staying plugged into existing apps and infrastructure.

Accelerate Your Time to Market

Leverage serverless data streaming to rapidly develop and dismantle lightweight applications. Empower your teams to effortlessly construct, test, and repurpose data workflows, bypassing the complexities of infrastructure management.

Why StreamNative

Develop contextually aware microservices. Enhance your operational and analytical capabilities by leveraging real-time data on the most secure, resilient, and scalable data streaming platform.

Event-Driven Architecture

Harness real-time events to instantly apply business logic, enabling your applications to dynamically respond to every occurring event.

Reusable Data Streams

Remove communication bottlenecks by publishing reusable data streams, enabling any service to respond dynamically to events as they happen.

Real-Time Data Processing

Conduct stateful and stateless processing at the moment data is generated, seamlessly merging historical and real-time data streams in real time.

Fast, Reliable, and Flexible

Efficiently manage trillions of messages daily while ensuring data consistency and integrity. Work in the protocol and programming language you prefer for maximum flexibility.

Immutable and Infinite Data Storage

Securely store and maintain data indefinitely to establish a consistent and reliable single source of truth. This ensures data can be accessed, merged, and replayed as needed, on-demand.

Pre-defined Data Schemas

Ensure schema compatibility, version control, integrity, and quality by using pre-defined data schemas.

How StreamNative Works

Stream

Our optimized data streaming architecture takes center stage. Ursa, ensures that data streams efficiently, enabling seamless scalability at a fraction of the cost.

Cluster Autoscaling

Connect

With built-in connectors and APIs, StreamNative Platform empowers you to effortlessly integrate data from diverse sources.

Source Connector

Secure

Security compliant with SOC2, ISO27001, HIPAA, and more. With features like Role-Based Access Control (RBAC) and encryption, your data remains protected at every step.

Deploy Everywhere

Available on all major cloud providers, including AWS, GCP, and Azure, our platform offers flexible deployment options, from fully managed Hosted services to BYOC (Bring Your Own Cloud) and Private Cloud deployments.

AWS ComponentsMicroSoft ComponentsCloud Component
BYOC Cloud Deployment
Partnering with StreamNative has significantly enhanced our ability to deliver real-time data solutions to our clients. Their robust and scalable streaming platform seamlessly integrates with our services, enabling us to process and analyze data with unprecedented speed and efficiency. StreamNative's commitment to innovation and performance aligns perfectly with our mission to provide cutting-edge technology solutions, making them an invaluable partner in driving success for our customers.
Parag Kulkarni, COO at CalSoft.
StreamNative's data streaming platform handles real-time data at scale with high reliability. It’s a critical piece in the data infrastructures of GenAI stack. Together with the high performance vector search of Milvus and Zilliz Cloud (fully managed Milvus), developers can build production-ready AI applications such as RAG chatbots that can utilize time-sensitive information. StreamNative's support for Kafka Connect makes it easy for developers to ingest data to Milvus and Zilliz Cloud via their Kafka Connect connector in real-time. StreamNative's open protocol approach to data streaming complements our mission of building unstructured data platforms, making them an essential partner in our journey to deliver next-generation AI solutions.
Jiang Chen, Engineering Lead at Zilliz.
StreamNative's data streaming platform has deep integration with RisingWave as both Source and Destination to provide continuous real-time data processing capabilities on live data. This has enabled innovative solutions to demanding problems for our mutual customers. StreamNative's commitment to performance and innovation aligns perfectly with our goals, making them a trusted partner in our mission to advance the future of stream processing.
CEO of Risingwave, Yingjun Wu
We are thrilled to see StreamNative adopt the Delta Lake format in lakehouse storage, a testament to their forward-thinking approach to data management. Delta Lake's growing popularity reflects its robust capabilities, and StreamNative's integration of this format signifies a significant advancement for its users. This move not only enhances their offerings but also aligns with industry-leading standards for data reliability and scalability," said Himanshu Raja, Director of Product Management at Databricks.
Himanshu Raja, Director of Product Management at Databricks.