Nstream is launching a new platform today that extends the reach of real-time streaming data to software applications, enabling them to respond instantaneously to any change in state.

Nstream, officially known as Swim Inc., said Nstream Cloud is the industry’s first open-source, full-stack streaming data application platform. Aimed at developers, it extends the streaming data capabilities of Apache Kafka, Apache Pulsar, AWS Kinesis and Confluent Cloud to provide real-time observability of data in-motion and data at-rest.

It does that through the creation of active digital twins representing the company’s physical and digital assets. These digital twins are observed in real time, allowing developers to see what’s happening across their entire operational business environment at any moment.

With the unique visibility provided by Nstream Cloud, developers can build dynamic streaming graphs that aggregate and correlate the behavior of millions of related entities in real time. Applications can then apply business logic and automated actions in response to any real-time state change, the company explained.

Nstream Cloud is rooted in stateful services, streaming application programming interfaces and real-time user interfaces, and provides the ability for data teams to continuously perform hundreds of stream-to-stream JOINs at large scale. JOINs are a method of combining data in fields from two tables by using values common to each table.

The company says it’s tackling a problem that’s very difficult for enterprises to solve alone. It says organizations generally struggle to handle and implement massive volumes of real-time data, as there’s no universal platform that can combine multiple streaming data sources and make them instantly accessible. Instead, companies have to build bespoke solutions that quickly become incredibly complex and often increase latency.

Nstream Cloud mitigates these problems by transforming streaming data into a real-time model of the company’s business operations, with digital twins representing all real-world objects, including customers, prospects, assets and devices. It significantly reduces the engineering hours spent on designing, building, testing, maintaining and upgrading multiple data systems and the connections between them, Nstream said.

“No other platform brings real-time visibility, insights and decision automation into the application layer like Nstream,” said Nstream founder and Chief Technology Officer Chris Sachs. “With our stateful services, streaming APIs and real-time UIs, the Nstream Platform picks up where other solutions leave off to provide an open-source solution for the rest of the stack.”

By bringing real-time streaming data directly to the applications and combining it with data at rest, businesses can extract maximum value from the information generated by their business on the fly. They’ll gain unprecedented insights in real-time and unlock numerous opportunities to automate business processes, Nstream promised.

Intellyx analyst Jason Bloomberg said one of the most important capabilities of Nstream Cloud is its ability to combine and filter multiple data streams at once. “Such data combinations are like JOINs, but leverage graph technology to deliver real-time insights over arbitrarily complex, real-time data feeds,” he said. “This ability to combine real-time data streams with data at rest gives Nstream’s customers a powerful tool for extracting value from diverse data sources.”

Image: Vecstock/Freepik