By clicking "Accept all cookies" you agree to have cookies stored on your device to improve site navigation, analyze site usage, and assist with our marketing efforts. See our privacy policy for more information.
StreamNative: Revolutionizing Streaming Data Pipelines with the Power of Real-Time Insights
Get Started
A streaming data pipeline is an end-to-end process that allows continuous data flow from various sources to deliver real-time insights. In today's data-driven world, traditional batch data pipelines can't keep up with the demand for up-to-the-minute analytics. A streaming data pipeline captures, processes, and analyzes data as it's generated, enabling businesses to make informed decisions without delays.
With a streaming data pipeline, data is ingested from diverse sources like IoT devices, databases, or web applications and is then processed in real-time using event-driven architectures. The pipeline delivers immediate insights to dashboards, applications, and data lakes, providing enterprises with a competitive edge by offering faster, data-informed decisions.
The Streaming-Augmented Lakehouse is the next evolution in data architecture, blending the best of both worlds: lakehouses and real-time data streaming.
A lakehouse offers the flexibility and scalability of a data lake with the performance and structure of a data warehouse, making it ideal for massive data storage and batch processing. However, the rise of AI and the need for real-time decision-making require more than traditional lakehouses can provide.
At StreamNative, we make the Streaming-Augmented Lakehouse a reality with our powerful Ursa Engine. This state-of-the-art engine is designed to unify real-time streaming and batch processing, enabling organizations to harness the full potential of SAL architecture.
.svg)
Achieve real-time analytics without sacrificing scalability or flexibility
.svg)
Seamlessly integrate with your existing lakehouse infrastructure
.svg)
Power modern AI and machine learning applications with low-latency data streams
.svg)
Enable real-time data processing across a variety of sources, including IoT, web, and business applications
In addition to the Ursa Engine, StreamNative offers Flink Managed Service, providing an efficient, hassle-free way to run Apache Flink applications. This service allows you to focus on building real-time data applications without worrying about managing the underlying infrastructure. With Flink Managed Service, you get:
.svg)
Fully managed Apache Flink operations for real-time stream processing
.svg)
Automatic scaling, monitoring, and optimization of Flink workloads
Seamless integration with StreamNative's Pulsar-based ecosystem and SAL architecture, further enhancing the power of your streaming data pipelines
Ready to transform your data architecture with Streaming-Augmented Lakehouse? Whether you’re building real-time AI applications or looking to enhance your data analytics capabilities, StreamNative has the solutions and expertise to make it happen.
