Apache Airflow is an open-source platform to programmatically author, schedule and monitor workflows. It is designed to orchestrate complex computational workflows, allow data engineers to create Directed Acyclic Graphs (DAGs) of tasks, and manage the execution of those tasks to automate processes.
DuckDB is an in-process SQL OLAP (Online Analytical Processing) database management system. It is optimized for analytical query workloads, making it highly efficient for data science, machine learning, and analytics tasks. DuckDB is lightweight, embeddable, and designed to operate within applications, similar to SQLite, but focused on analytical rather than transactional workloads. It supports complex queries, integrates well with various programming languages like Python and R, and handles large datasets efficiently without requiring a separate server.
Apache Spark is an open-source, distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Dagster is an open-source data orchestrator for machine learning, analytics, and ETL. It orchestrates the flow of data across different stages and components, allowing you to define, schedule and monitor complex data pipelines.
MinIO is a high-performance, distributed object storage system. It is designed to provide scalable capacity and high-speed data access, compatible with Amazon S3 API, making it a popular choice for building private cloud environments or edge storage.
Knime Analytics Platform is a comprehensive data analytics and data science suite that enables intuitive, compelling data mining and machine learning with visual workflows. It supports integration with a wide range of data sources and provides tools for data processing, analysis, and visualizations.