The complexity of streaming data technologies – not just streaming video but any kind of streaming data – has caused headaches when dealing with that fast data processing.
Accordingly, companies like Spark and Flink have been created to address this ksqlDB. Many of these are either Java-based solutions or SQL-based analytics solutions. However, British startup Quix says it is a platform for developing event-driven applications with Pythonwhich can be used in, for example, physics-based data modeling and anomaly detection in machine learning.
It has now raised a Series A funding round of £11m/$12.9m led by London-based VC MMC Ventures, with the participation of existing investors Project A Ventures (from Berlin) and Passion Capital (London).
The founders of Quix are familiar with real-time decision making, having worked in Formula 1, where success is based on milliseconds. His clients include McLaren, as well as mobility startup Voi and the National Health Service (UK).
In a statement, Mike Rosam, co-founder of Quix, said: “Many companies are struggling to combine raw technologies like Kafka into real-time data capabilities… This new capital will fuel our mission to simplify event-driven data engineering so more companies can use modern day data.” building data-intensive apps.”
Oliver Richards, Partner at MMC Ventures, added: “As we have been doing more and more research into data infrastructure, it is clear that there is a growing demand for real-time streaming data, both for consumers and for B2B use. . ”
