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Ilum

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24 reviews
  • 2 profiles
  • 14 categories
Average star rating
4.9
Serving customers since
2019
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ILUM

24 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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Ilum Reviews

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JL
Jan L.
11/28/2025
Validated Reviewer
Verified Current User
Review source: Organic

Seamless Integration and Unified Features for Advanced Users

What I appreciate most about ILUM is its Ease of Integration. The platform is built to be open and modular, allowing it to connect seamlessly with the tools we already rely on, such as Airflow, dbt, Jupyter, and various BI tools through JDBC. We didn't have to overhaul our existing workflows; ILUM integrated effortlessly, which meant less hassle during implementation and a much quicker realization of value—something I consider a major advantage. Another standout aspect is the impressive range of features combined with how easy it is to use. Since ILUM is a unified platform, I can run SQL queries, review data lineage, and launch Spark jobs or notebooks all from a single interface, eliminating the need to constantly switch between different tools. Having that centralized control is incredibly convenient. The process of implementing ILUM is both straightforward and nuanced, but for the most part, it's simple if you have the right infrastructure in place. Because ILUM is Kubernetes-native and deployed via Helm charts, if you already have a Kubernetes cluster set up, you can get the core components—Spark and the UI—up and running in less than five minutes using a basic Helm command. Personally, I use ILUM as my main platform nearly every day in my work.
Verified User in Financial Services
UF
Verified User in Financial Services
11/04/2025
Validated Reviewer
Verified Current User
Review source: Organic

On-Premise & Cloud Data Platform with Outstanding Support

What makes ilum the best option for me is its ability to run on-premise within our company's isolated, air-gapped data center. For testing and UAT, we are able to use our private cloud, which adds flexibility. Ilum stands out because it operates seamlessly both in the cloud and on-premise. I also find it very user-friendly; our initial test deployment took just one day. We now use ilum daily. The customer support team is excellent, often responding even faster than our standard SLA requires. The range of features matches industry standards, but what impresses me most is how quickly new feature requests are implemented—sometimes they appear in the very next release. Integration with external modules is also outstanding, overall implementation is also great.
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
11/04/2025
Validated Reviewer
Verified Current User
Review source: Organic

Seamless Spark Management and Analytics, with Room for Advanced Config Improvements

What I like most about ILUM is how smoothly it integrates with my existing systems and how much it simplifies working with Spark on Kubernetes. I use ILUM to connect my internal app with ILUM services, allowing me to run Spark sessions as microservices and handle heavy data computations quickly and efficiently. This setup lets me manage Spark workloads without having to worry about complex infrastructure — ILUM takes care of it behind the scenes. I store and organize my data in Delta tables using ILUM’s built-in integration, which I find extremely useful for daily analytics. I frequently query my data through the ILUM-SQL JDBC interface and visualize results using Superset, which is tightly integrated into the platform. This combination gives me a smooth workflow from data processing to visualization, all within one environment. Deployment was straightforward — I run ILUM in my own on-prem Kubernetes cluster, and it only required basic K8s knowledge to get everything up and running. Once deployed, it has been stable and reliable. The UI is one of my favorite parts: it’s clean, intuitive, and provides an all-in-one overview of everything from Spark jobs to data tables and SQL queries. Lastly, the support team has been excellent — every time I had a question or issue, they responded quickly with helpful, practical answers. Overall, ILUM provides a powerful, easy-to-use environment for managing Spark workloads, organizing data, and analyzing it visually, all in one integrated platform.

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HQ Location:
Santa Fe, US

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@IlumCloud

What is Ilum?

Ilum - Free Data Lakehouse

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Year Founded
2019
Website
ilum.cloud