Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Free Data Lakehouse platform that unifies data management, processing, and analytics, specifically to the needs of data engineers, analysts, and data scientists. Modern alternative to Cloudera and a replacement for Databricks in on-premise environments. With support for cloud, on-premise, and hybrid setups, Ilum adapts to your infrastructure, making it easy to manage and scale your workloads. Key features include: Data Lineage: Automatically track every data transformation using the Open Lineage standard, ensuring transparency and compliance. SQL Editor: Query using Delta, Iceberg, Hudi or Spark SQL. Visualize results and manage data directly within the platform. BI Integration: Connect tools like Tableau, PowerBI, and Apache Superset through a JDBC interface, enabling fast, scalable analytics. Modular Architecture: Pre-integrated tools like Apache Superset, dbt, Jupyter Notebooks, and MLflow are ready to use. Spark Integration: Run Spark jobs with a built-in UI, REST API, and out-of-the-box Spark History Server. Manage clusters, schedule jobs, and monitor your environment. Multi-Cluster Support: Connect multiple clusters, compare performance, or isolate environments for teams. Open Table Format Support: Ilum natively supports leading open table formats such as Delta Lake, Apache Iceberg, Hudi, and emerging formats like Apache Paimon, enabling unified data storage and processing with advanced capabilities like versioning, schema evolution, and time travel. Ilum's modularity, flexibility, and focus on integration make it a future-proof choice for organizations aiming to modernize their data infrastructure while maintaining full control over their environment. Whether you're a small team exploring data analytics or a large enterprise managing mission-critical workloads, Ilum provides a unified, scalable solution tailored to your needs.