Python developer workflow
Tools to make stream processing simpler for engineering teams that work with data-intensive applications.
Scalable serverless infrastructure
We’ve put together all the components you’ll need to deploy production-ready stream processing pipelines in a fully managed cloud environment.
Open source templates and samples
Build always-on streaming data pipelines starting from ready-to-use templates and code samples created by Quix, the community and your teams.
Visual DAGs
Data pipelines are great, seeing them is even better. A visual DAG editor helps you keep an eye on what’s happening to your data and where it’s going.
Monitoring
Keep an eye on data throughput rates and what’s happening inside each step of your pipeline. Logs and metrics that help you sleep at night.
Pipelines as code
Configure your workflow and everything in your applications and infrastructure using Quix's YAML files with environments tied to Git branches.
Secrets management
Built-in tools to securely store, access and centrally manage sensitive data such as passwords, keys and tokens.