Build data integration pipelines in minutes
Ingestion
Ingest time series data directly from SCADA based systems or popular streaming technologies. Quix provides out of the box connector templates for popular industrial technologies like MQTT, OPC-UA and Telegraf, that can also be customised for your use case. The inbuilt Sources & Sinks API also makes it easy to build custom connectors for any niche or legacy technologies.
Transformation
Prepare your time series data for storage and processing. Normalize your data with Quix Streams, our open source Python DataFrame library for processing time-series data in real time. Quix Streams gracefully handles late arriving data and data bursts to ensure data quality and consistency. This provides domain experts with high quality data streams for analytics and modeling with the tooling of their choice, including Matlab and Simulink.
Sink
Reliably sink high volumes of time series data to a centralized data store for monitoring, analytics and ML.
Downsample data to reduce storage costs and performance bottlenecks.with any database, lake or warehouse, in the cloud or on premise. Back pressure support prevents overloading data stores with high-volumes of data.
Visualise and analyse data in real-time with built in waveform and table views, message visualizers and metrics monitoring. Or build custom analytics with popular open source tools like Streamlit and Grafana.
Downsample data to reduce storage costs and performance bottlenecks.with any database, lake or warehouse, in the cloud or on premise. Back pressure support prevents overloading data stores with high-volumes of data.
Visualise and analyse data in real-time with built in waveform and table views, message visualizers and metrics monitoring. Or build custom analytics with popular open source tools like Streamlit and Grafana.
Ingestion
Ingest time series data directly from SCADA based systems or popular streaming technologies. Quix provides out of the box connector templates for popular industrial technologies like MQTT, OPC-UA and Telegraf, that can also be customised for your use case. The inbuilt Sources & Sinks API also makes it easy to build custom connectors for any niche or legacy technologies.
Transformation
Prepare your time series data for storage and processing. Normalize your data with Quix Streams, our open source Python DataFrame library for processing time-series data in real time. Quix Streams gracefully handles late arriving data and data bursts to ensure data quality and consistency. This provides domain experts with high quality data streams for analytics and modeling with the tooling of their choice, including Matlab and Simulink.
Sink
Reliably sink high volumes of time series data to a centralized data store for monitoring, analytics and ML.
Downsample data to reduce storage costs and performance bottlenecks.with any database, lake or warehouse, in the cloud or on premise. Back pressure support prevents overloading data stores with high-volumes of data.
Visualise and analyse data in real-time with built in waveform and table views, message visualizers and metrics monitoring. Or build custom analytics with popular open source tools like Streamlit and Grafana.
Downsample data to reduce storage costs and performance bottlenecks.with any database, lake or warehouse, in the cloud or on premise. Back pressure support prevents overloading data stores with high-volumes of data.
Visualise and analyse data in real-time with built in waveform and table views, message visualizers and metrics monitoring. Or build custom analytics with popular open source tools like Streamlit and Grafana.