JOIN ORGANIZATIONS USING QUIX TO TURN REAL-TIME DATA INTO VALUE
Work in Python from start to finish
Experience a truly unified approach that keeps you in the Python ecosystem throughout the entire development process. Move seamlessly from data exploration in Jupyter notebooks to production-ready code, without tedious language conversions.
Do faster feature engineering
Say goodbye to UDFs and SQL-Python mashups. Write sophisticated processing functions purely in Python using any ML or data science library you like. Optimize performance with unlimited vertical and horizontal scaling with no fixed limit on the number of processes.
Integrate ML models more efficiently
Eliminate the need to run your ML models behind REST APIs or in UDFs. Deploy ML models with the same one-click workflow as your feature calculation functions and run your ML models in the same environment as the rest of your pipeline.
Bridging the gap between data scientists and engineers in machine learning workflows
The drawbacks of ksqlDB in machine learning workflows
Introducing Quix Streams, an open source library for telemetry data streaming
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.