Confluent integration
Connect Quix — the Python stream processing platform — to Confluent and leverage your Confluent Cloud streaming data to start building real-time applications and products faster.
Unlocking the full potential of the entire AI ecosystem.
Specialised in tabular format data processing.
K8's, docker, Git, IDE, observability tools, data tools, CI/CD and IaC.
Access your existing Confluent cluster from the Quix platform to build real-time data applications, faster. Create, delete, and manage topics & partitions in Confluent Cloud to find them in Quix, where you can explore and observe data flowing into the topics. Vice versa, you can create, delete, and manage topics & partitions in Quix: that will be reflected in your Confluent Cloud.
See how the integration works.
Quix provides a cloud-native Python framework and extensive developer tools that help ML Engineers develop, test and run real-time apps using a standard workflow. Process data streams with pure Python, debug and test code against historic data replays, and promote and deploy your code from Development to Production environments using our CI/CD based on Git and Infrastructure as Code.
With Quix, data engineers can easily manage and monitor data streams, while data scientists can deploy their machine-learning models independently using Python. At the same time, the KafkaOps team maintains control over the data infrastructure and ensures that everything runs smoothly.
Start your free trial of Confluent Cloud today. New signups receive $400 to spend during their first 30 days — no credit card required.
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