

ILUM
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Ilum is a free data lakehouse platform designed for scalability, flexibility, and simplicity.
Cost / License
- Freemium
- Proprietary
Platforms
- Self-Hosted
- Software as a Service (SaaS)
- Kubernetes
Features
Properties
- Lightweight
- Privacy focused
Features
- Data-management
- Data streaming
- Container Virtualization
- Kubernetes
- Real-time analytics
- Data visualization
- Real time collaboration
- Ad-free
- Extensible by Plugins/Extensions
- Dark Mode
- Website Monitoring
- Distributed Computing
- Server Management
- Web-Based
- Data analytics
Tags
- data-lakehouse
- analytics
- apache-spark
- Database
- trino
- DevOps
- Data Analysis
- big-data
- lakehouse
- flink
- lakehouse-platform
- SQL
What is ILUM?
Ilum: A Data Platform Built by Data Engineers, for Data Engineers
Ilum is a data lakehouse platform designed to simplify data management and analytics for data engineers. With support for Kubernetes, YARN, and hybrid setups, Ilum adapts to your infrastructure, making it easy to manage and scale your workloads.
Key features include:
- 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 tweak configurations.
- Multi-Cluster Support: Connect multiple clusters, compare performance, or isolate environments for teams.
- 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.
Whether you’re processing petabytes of data or running small-scale analytics, Ilum provides a unified, scalable platform. Built by data engineers for data engineers, it’s free to use with premium support options available.






Comments and Reviews
As one of Ilum’s creators, I’m excited to share our platform with the data engineering community. Ilum simplifies big data workflows by integrating tools like Spark, Jupyter, and Delta Lake, while supporting Kubernetes and multi-cluster setups. It’s free to use, with premium support available. Built by engineers, for engineers!
Ilum made deploying Spark on Kubernetes very easy and efficient despite the fact i do not know k8s very well. UI simplifies managing workloads a looot. Recommend for working with big data on Kubernetes!
Ilum significantly improved the way I manage and analyze large datasets, making complex workflows easier and faster to handle. It’s been invaluable for optimizing my data processing pipelines and gaining clear insights through its intuitive tools.