ILUM

Originally designed to provide seamless integration and management of Apache Spark on Kubernetes, Ilum has evolved into a fully capable, modular Data Lake Platform. Alongside its core functionalities, Ilum embeds vital tools such as Jupyter, Apache Airflow, and MLflow, further enriching its ecosystem. With a robust focus on interactivity, full Python support, and the transformation of Spark jobs into responsive microservices, Ilum streamlines the Data Lakehouse architecture. Whether deployed in the cloud or on-premise, Ilum's adaptive design leverages the power of Kubernetes to offer unparalleled flexibility and scalability. This evolution underscores Ilum's commitment to redefining data handling and meeting the diverse needs of enterprises in a complex and dynamic data landscape.