Quix was founded by four Formula 1 engineers, who harnessed the power of data stream processing to make real time decisions.
From their experience at McLaren, they knew the value of streaming data. So they created Quix as a platform to empower developers and data scientists from all industries.
Quix is set of tools that aims to make Python stream processing more accessible to developers building ML and generative AI applications:
- Quix Streams is an open source Python library for building containerized stream processing applications with Apache Kafka or Kafka-like message brokers.
- Quix Cloud provides fully managed serverless containers, a managed Kafka instance, data and observability tools to run your applications in production.
From the blog
Kafka vs Spark - a comparison of stream processing tools
Continuously ingest documents into a vector store using Quix, Qdrant, and Apache Kafka
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Need technical support? Ask our team on the #quix-help channel in Slack, search for a solution on our Docs or drop us an email to email@example.com.