You don’t need multiple data systems to build a streaming data application
Nstream enables you to build streaming data applications without the need for:
- Application databases.
- such as Apache Druid, Clickhouse, MongoDB
- Additional stream processing frameworks
- such as Pinot, Presto
- Applications servers
- such as Spring, NodeJS, .Net
- UI frameworks
- such as Angular, React
Backed by Open Source - SwimOS
Accelerate your streaming data journey with Nstream
Build streaming data applications with a 10x faster time to value compared to traditional architectures that use multiple data systems and polling. Let us unshackle the challenge of maintenance.
Manage your data, not your data ingestion.
Managing data sources and and integrations is time consuming and expensive.
Out with expensive SME contracts.
Hiring SMEs or paying multiple software vendors
Accelerate your engineering team.
Application teams are generally not too familiar with streaming data technologies
The fastest queries are the ones you don't need to make.
Existing architectures poll data where as streaming data is pushed with Nstream
Latency compounds when data passes through additional data systems
Context does not update automatically as it is dependent on querying
See it in action
Demo with Confluent Cloud
The application that has been built is modelling a transit network.
Building stateful entities that represents each vehicle, and aggregating data from multiple sources and serve the results of the vehicles in real-time onto the dashboard.