Consolidate high frequency sensor data in the cloud

Industrial companies use Quix to integrate large volumes of data from legacy systems, enabling use cases like real-time monitoring and analytics, predictive maintenance, digital twins, and more.

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Collect more high frequency data from more devices

Cost-effectively collect Terabytes of data per day into a centralized cloud data store, providing a single pane of glass for your infrastructure. Pre-process data to ensure data quality and consistency across devices.

Quickly integrate legacy plant data

Easily integrate data from legacy systems, even without software engineering skills. Quix provides out of the box connector templates for popular technologies like MQTT, OPC-UA and Telegraf, that can also be customised for your use case.

Rapidly innovate with governance

Visualise and query data in real time, or run advanced MATLAB or ML models. 'Low DevOps' tooling ensures R&D teams can build fast, while governance features like projects, environments, permissions, auditing, monitoring, lineage and observability ensure IT maintains control over data quality and production apps.

Accelerate your transition to Industry 4.0

Decrease time-to-value: Start consolidating your data in hours, not weeks, thanks to out-of-the-box integrations and intuitive self-service tools.

Reduce operational complexity: Focus on delivering value from your data rather than managing data infrastructure with Quix’s scalable 'no DevOps' platform.

Future-proof your tech stack: Whether it’s integrating decades-old, mission-critical code in Java or C++, or running cutting-edge Python ML models, Quix accommodates any Docker-compatible app.

Benefit from decades of industry experience: Created by former Formula 1 engineers who specialize in leveraging real-time data for decision-making, Quix is your strategic partner.

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Real world success stories

Learn how customers are leveraging Quix to accelerate innovation and deliver more business value from their data.

Customer story

Optimizing manufacturing efficiency with streaming data and ML

How CloudNC makes better predictions for maintenance, generates insights with very low latency, and transforms its factory operations with streaming data.

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Get started with templates for common use cases

Check out our easily customisable templates for building your first integration.

Use case

Code snippet

Modernize legacy SCADA infrastructure with real-time data processing

Build real-time data processing pipelines for modern energy systems that integrate data from smart meters, IoT sensors, and legacy SCADA systems.

Energy sector

Project template

Use case

Code snippet

Integrate data from multiple sources into an Iceberg Lakehouse

Ingest data from multiple sources into Iceberg tables on S3. Use Quix Streams to normalize and standardize the data before it reaches your data lakehouse.

Data integration

ETL

Project template

Use case

Code snippet

Predictive maintenance

Simulates data from a fleet of 3D printers and predicts which ones are going to fail before the print is finished using a time series forecasting algorithm

Alerting

Anomaly detection

IoT

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Choose the deployment option that fits your business

Run the Quix platform in the cloud or on-premise, depending on your use case. Or build your own with Quix Streams, Apache Kafka and Kubernetes.

Quix Cloud

Quix Cloud empowers you to build, deploy, and optimize data integration pipelines – without needing an army of data engineers.

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Quix Platform

Run Quix on-premise for non-negotiable compliance where serious scale meets extra low latency.

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Quix Streams

An open-source Python framework for real-time data processing and integrations with Streaming DataFrames.

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Quix Streams repo

Interested in Quix Cloud?

Learn how companies are building data integration pipelines with Quix.

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Get started with Quix Streams

An open source library for processing data in Kafka using pure Python.

Quix Streams repo

Getting started with Quix

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Talk with our team of experts to learn more about how companies are building data integration pipelines with Quix.

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Ask our community

Join our Slack to get help with Quix Streams from our friendly developer community.

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