Visual Flow for Databricks is a cloud-native open-source ETL tool developed for Databricks environment with a handy Graphical User Interface. It uses best Databricks practices and combines them into a single system with the following features: Portability, flexibility and multi-cloud compatibility Increased developer productivity High availability, performance and fault tolerance Cost-effective Open-source Visual Flow for Databricks provides a Graphical User Interface to create ETL jobs and combine them in Data Processing Pipelines, run/schedule them, and monitor execution. Individual cluster setup is available for every Job. It is a multi-tenant system. You can create multiple projects in a single cluster. Each project is represented as Databricks workspace. Visual Flow for Databricks supports all existing Databricks Cloud systems and auto-detects them from the project settings. Our solution provides the ability to securely manage parameters and connections and reuse them in Jobs. Import/Export functionality allows to migrate data between projects with ease. Why Visual Flow for Databricks? Supports all existing Databricks Cloud environments Graphical User Interface speeds up learning and jobs development Good monitoring and alerting capabilities out of the box Error Handling out of the box Organizing jobs into Data pipelines with the ability to run them on schedule Unlimited parallelism Unlimited scalability Easy to customize and extend Easy to test automatically Can be installed on-premise as well as on cloud provider of your choice Can be packaged and provided as SaaS solution on your own Cloud platform

REQUIRED SERVICES & APPLICATIONS: Before deployment: GitHub  account for OAuth. After deployment: Databricks account. Guide to connect to Databricks