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Why Nstream

Streamlined Architecture

More than 70% lower TCO

The Nstream Platform enables you to eliminate complexity in both the building and maintaining phases for your streaming data applications with a Total Cost of Ownership (TCO) that is over 70% lower than with the traditional architecture. This is achieved with cost savings in the following aspects.

Lower infrastructure spend

Reduce your infrastructure bill by 80%, by scaling your architecture on fewer data systems and far fewer nodes/servers.

Perform stream-to-stream joins at scale.

Instead of executing an additional query every time you want to join new information to a real-world object, Nstream enables you to isolate events and streams at a real-world object level—for example, customers, assets, shipping trucks, IoT devices, etc.

Effortlessly perform stream-to-stream joins at scale by integrating disparate data sources in real-time, ensuring insights remain relevant and actionable.

You also eliminate the need to round trip to a database for every query, which significantly adds up costs. With Nstream, you can keep the data in motion throughout the application stack at network-level latency.

Hiring SMEs and paying multiple software vendors

With the traditional architecture, you would need to hire SMEs for each open-source data system AND subscribe to different software vendors to build streaming applications that have inherent latencies. All of which are expensive. With Nstream, you just have one software vendor.

4x fewer engineering hours

Nstream will free up a significant number of engineering hours that would have otherwise gone into designing, building, testing, upgrading, and maintaining complex open-source data systems

Each open-source data system typically upgrades about once a quarter, the engineering team not only needs to upgrade each open-source data system but also ensure that the connections with other interconnected data systems work correctly.

With Nstream, you have just one integrated system and also 5x fewer connections to maintain.

All this requires at least 4x fewer engineering hours to maintain compared to the traditional architecture, freeing up your engineering team’s time from building and managing open-source data systems to defining business logic on streaming data applications that directly impact your business.