For Data Processing Pipelines

A better approach to data integration

Easily capture changes to your data in real time, transform it and write it into a database for your end users to consume. No more waiting for lengthy batch processes to complete. With Quix, you can continuously deliver fresh, up-to-date data to your stakeholders.

Data integration made easy, from ingestion to application

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Consume from anywhere

Meet your data where it’s at. Quix’s APIs allow you to ingest and consume data from HTTP and web applications over WebSockets.

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Use Kafka without the complexity

Our SDK for Python and C# lets you take advantage of Kafka’s reliability and efficiency, even if you’re not a Kafka expert.

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Stay in control of your data

Use monitoring tools to explore historic data and real-time data flowing in your pipelines to check the performance of your system.


The Quix SDK

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Stream context

Keep your data in order with the SDK, which bundles data and metadata in a stream. You’ll be able to easily differentiate data streams when integrating, transforming and delivering them.

Build in buffer scheme.

Built-in buffering

Keep costs low — even when you’re processing multiple data streams at high frequencies. You can balance latency and cost with the SDK’s customizable buffer feature for managing high volumes of data.

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Automatic serialization

The SDK automatically serializes data from native types into your preferred language for top performance. You can work with familiar types, such as Pandas DataFrames, or use our own ParameterData class without worrying about the conversions happening behind the scenes.

Optimizing connectivity for Control

How 1 developer built a real-time ML pipeline to improve cellular connectivity.

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It’s free to get started

Sign up now and start building your first event streaming app with free credits to use in compute and streaming.