Pre-built projects and ready-to-run pipelines to kickstart your development process.
Automate MATLAB simulation workflows with centralized data capture, version control, and real-time analysis for complex R&D systems development.
A pre-configured pipeline architecture that enables real-time configuration updates for R&D systems without service interruptions.
Real-time application monitoring pipeline for R&D teams. Monitor complex electro-mechanical systems with scalable metrics collection and alerts.
Transform fragmented test data into unified streams. Multi-protocol ingestion, automated normalization, real-time visualization for R&D teams.
Dedicated R&D teams can now focus on their core goals without having to worry about sharing configurations or updating other teams manually.
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.
BiqQuery Data Engineers use Quix data pipelines to ingest large volumes of data from their operational estate on AWS. It's easier, cheaper and more flexible.
Ingest data from vehicle sensors via MQTT and use windowed aggregations with grace periods to ensure that delayed data is processed correctly.
Get faster data-driven insights on industrial machinery and manufacturing equipment so that you can optimize operational efficiency and reduce machine downtime.
Build real-time data processing pipelines for modern energy systems that integrate data from smart meters, IoT sensors, and legacy SCADA systems.
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