Fyrefuse

Fyrefuse is a platform designed to build, orchestrate, run and observe data-intensive pipelines. Its powerful no-code/low-code web UI lets Data Engineers use Apache Spark interactively, to process real-time data streams, operationalize AI and serve data-driven applications, by using just SQL or Python. It is container-native and runs across all major cloud providers and on-premises installations. You can operate Fyresue in a self-managed deployment or with Kubernetes. Fyrefuse can be understood through a few basic concepts. Familiarizing yourself with these will be convenient for learning to Use Fyrefuse (and its beautiful Web UI) and to start having fun building your data pipelines with it. What makes Fyrefuse different? – Visual Pipeline Editor with drag-and-drop jobs – Native support for SQL, Python, and custom scripts – Container-native and cloud-agnostic (run anywhere: AWS, Azure, GCP, on-prem) – Built-in observability and operational tooling – Real-time and batch support in one platform – Fully self-managed or Kubernetes-native deployments Start building today: https://fyrefuse.io