Build applications with your Confluent Data Streams in minutes, not months.
Build streaming data applications with 70% lower TCO (Total Cost of Ownership) and 10x faster time to value.
Trusted by
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.
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Manage your data, not your data ingestion. -
Managing data sources and and integrations is time consuming and expensive.
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Out with expensive SME contracts. -
Hiring SMEs or paying multiple software vendors
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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.
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Existing architectures poll data where as streaming data is pushed with Nstream
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Latency compounds when data passes through additional data systems
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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.
