For Event-Driven Back Ends

A better way to craft streaming data applications

Create applications that process and act on events in real time in a way that’s performant, and horizontally scalable with no risk of data loss. And do it all without having to provision a single piece of infrastructure.


Data architecture that scales

The right tools for the right tasks

Build maintainable, observable and scalable data applications with a modern data stack of microservices.

Move data quickly and safely

Handle your data reliably and efficiently in memory with Kafka. Our SDK removes the complexity.

Do more with your data

We’re Python first because it allows you to create any type of data transformation, not only SQL aggregations.


Inside the product

The Quix platform

optimized for speed, collaboration and performance

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Connect your tools seamlessly

Easily integrate microservices and deploy pipeline components with our open-source library. You can customize them or plug and play — no coding necessary.

Develop streaming applications faster


Get to work faster

Start developing streaming applications less than a minute after you create an account with our ready-to-use developer environment.

Clean and normalize data 02


Plan for long-term success

Clean and normalize data in Quix before it goes to a warehouse. This reduces storage costs and makes it easier to scale your architecture.

Unlocking streaming data for Ademen

Ademen aims to empower community clinical teams to screen for and monitor health problems using the smart stethoscope it built on streaming data with Quix.

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Talk to a technical expert about your use case if you’re considering using stream processing in your business.

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