Orchest
No-code data pipelines builder
Orchest is an open-source ETL (extract, transform, load) platform that simplifies the process of building and managing data pipelines. It provides a visual interface for creating, testing, and monitoring data pipelines, making it easy for developers, data engineers, and data scientists to work together to transform and move data between systems. Orchest is built on top of Apache Airflow, an open-source platform for creating, scheduling, and monitoring workflows. Orchest adds a layer of abstraction on top of Airflow, making it easier to create and manage pipelines using a visual interface. It also includes a number of pre-built connectors and components for common data sources and sinks, such as databases, cloud services, and data warehouses. One of the key features of Orchest is its focus on collaboration and governance. It allows teams to work together on the same pipelines, with role-based access control and auditing features to ensure that changes are tracked and approved. It also provides monitoring and alerting features, so that teams can be notified when a pipeline fails or encounters an error. Overall, Orchest aims to simplify the process of building and managing data pipelines, making it easier for teams to collaborate and work together on complex data projects.