The startup offers a data cloud platform and API that enables organizations to build applications with embedded business logic, leveraging real-time streaming data for immediate insights. This technology helps businesses reduce operational costs and enhance productivity by facilitating timely decision-making based on live data.
Funding
$35.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle to derive timely insights from real-time streaming data due to the complexities of building and maintaining the necessary infrastructure and applications. Traditional approaches often involve significant middleware, custom coding, and extensive engineering hours, leading to delayed time-to-value and high total cost of ownership.
Solution
Nstream provides a data cloud platform and API that simplifies the development of streaming data applications, enabling organizations to build applications with embedded business logic and derive immediate insights from real-time data streams. The platform leverages stateful services, streaming APIs, and real-time UIs to deliver a full-stack solution that reduces the need for extensive middleware and custom coding. By connecting to various data sources, including Apache Kafka and Confluent, Nstream allows businesses to observe real-time changes without polling, make timely decisions, and keep humans in the loop. The Nstream Jet feature enables developers to create streaming data applications with minimal code, significantly accelerating time-to-value and streamlining architecture.
Target Audience
The primary target audience includes enterprises in retail, financial services, transportation & logistics, and telecommunications industries seeking to improve business visibility, customer 360 views, asset monitoring, and fraud detection through real-time data insights.
Features
- Stateful Services: Transforms streaming data into real-time state for immediate analysis.
- Streaming APIs: Delivers incremental updates to API clients, ensuring applications receive the most current information.
- Real-Time UIs: Facilitates interaction with live data visualizations for actionable insights.
- Data Connectors: Integrates context from various data sources, including Apache Kafka and Confluent.
- Nstream Jet: Enables the creation of streaming data applications with minimal coding effort.
- Full-stack Latency: Provides sub-second latency for real-time responsiveness.