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Ilum

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Average star rating
4.9
Serving customers since
2019
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ILUM

23 reviews

Ilum is a free data lakehouse platform designed for scalability, flexibility, and simplicity.

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Ilum

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Ilum is a comprehensive data lakehouse platform designed to streamline the management and monitoring of Apache Spark clusters across cloud, on-premise, and hybrid environments. It integrates seamlessly with tools like Jupyter, Apache Airflow, and MLflow, providing a unified solution for data scientists, cloud engineers, data analysts, IT administrators, and machine learning engineers. Ilum supports open table formats such as Delta Lake, Apache Iceberg, and Apache Hudi, ensuring flexibility and avoiding vendor lock-in. Its Kubernetes-native architecture offers scalability, high availability, and dynamic resource management, making it a modern alternative to traditional data platforms. Key Features and Functionality: - Unified Multi-Cluster Management: Manage multiple Spark clusters across various environments through a single platform. - Interactive Spark Sessions: Engage with Spark jobs via a REST API and user-friendly web interface, eliminating the need for command-line interactions. - Integration with Data Tools: Seamlessly integrates with Jupyter, Apache Airflow, MLflow, and business intelligence tools like Tableau and Power BI. - Support for Open Table Formats: Works with Delta Lake, Apache Iceberg, and Apache Hudi, ensuring ACID compliance and efficient data storage. - Kubernetes and Hadoop Yarn Integration: Facilitates easy deployment and management of Spark jobs on Kubernetes and integrates with Apache Hadoop Yarn. - Scalability and High Availability: Offers horizontal scalability and dynamic resource scaling to handle workloads of any size. - Data Governance and Security: Provides data lineage tracking, role-based access control, and integration with Apache Ranger for enhanced security. Primary Value and Problem Solved: Ilum addresses the challenges of managing and monitoring Apache Spark clusters by providing a unified, scalable, and flexible platform. It simplifies operations across diverse environments, supports open table formats to prevent vendor lock-in, and integrates with a wide range of data tools. By offering interactive sessions, multi-cluster management, and robust data governance, Ilum enhances operational efficiency, accelerates data processing tasks, and empowers organizations to build and deploy data-driven applications with ease.

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Marcin Z.
MZ
Marcin Z.
Technical Leader | Founding Developer of Award-Winning Data Solutions | Empowering Enterprises with Scalable Data Solutions | Driving Business Outcomes
04/25/2025
Validated Reviewer
Verified Current User
Review source: Organic

Ilum has helped us save tens of thousands of dollars

|ILUM
Ilum has proven to be an outstanding tool, perfectly tailored to our needs. It offers hybrid management of data lake environments—both on-premises and cloud-based. The transition from a Cloudera-based setup to an on-premises Kubernetes environment went smoothly and resulted in significant cost savings. Continuous integration with external modules keeps expanding the platform’s capabilities. Integration with Ilum through their API was very straightforward. The dashboard stands out for its ease of use and clear, intuitive interface.
PS
Paweł S.
04/25/2025
Validated Reviewer
Verified Current User
Review source: Organic

Ilum – A Promising Open-Source Lakehouse Platform with Room to Grow

|ILUM
1. Free 2. Open-source 3. Highly flexible and open architecture, supporting Apache Spark on Kubernetes and Yarn 4. Native integration with popular data tools such as Jupyter, Apache Airflow, MLflow, Kafka, MongoDB, and MinIO 5. Supports multiple open table formats, including Delta Lake, Apache Iceberg, and Apache Hudi 6. Provides REST APIs for programmatic management of Spark sessions

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HQ Location:
Santa Fe, US

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What is Ilum?

Ilum - Free Data Lakehouse

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Year Founded
2019
Website
ilum.cloud