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Ilum

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23 reviews
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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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Wiktor P.
08/01/2025
Validated Reviewer
Verified Current User
Review source: Organic

One Platform for Engineering, Simulation, and Lab Data

|ILUM
It gave us a reliable backbone for managing complex engineering data across the entire RF development process. We deal with simulation results, measurement data, PCB designs, and mechanical models, all coming from different tools, teams, and test environments. Before Ilum, that data was fragmented. Now it's all in one place, versioned, accessible, and auditable. It helped us stop treating our data as static files and start treating it as something we can trust and build on, whether that’s feeding simulation outputs into validation workflows, comparing lab measurements over time, or prepping datasets for future AI models. It fits into our existing stack without disruption and gives us clarity across the product lifecycle.
JE
Javier E.
07/25/2025
Validated Reviewer
Verified Current User
Review source: Organic

Finally, a platform that adapts to us, not the other way around

|ILUM
ILUM is one of those rare platforms that actually fits into the world you already have—not just the world some vendor wishes you had. In our team, we have a pretty complex setup: a mix of legacy on-prem clusters, a lot of workloads in the cloud, strict compliance, and plenty of security hoops. We didn’t want to tear everything down just to introduce something new. With ILUM, that wasn’t a problem. We got it up and running on our Kubernetes cluster much faster than expected—deployment took less than two weeks from first trial to production. For example, we were able to migrate over a dozen business-critical Spark jobs from our old setup into ILUM with minimal changes to our code or pipelines. The learning curve is there, but if your team knows Spark and K8s, it’s totally manageable. The best part is how it just slotted in with what we already use: Spark, Jupyter, our existing MinIO storage, and even our Airflow jobs. There was no endless “integration project” — it just worked. Our data scientists use the built-in Jupyter notebooks every day for prototyping and training models, and our DevOps team appreciates having everything in one place for monitoring and management. What I personally appreciate is that ILUM lets us keep the keys. We don’t have to ask permission or wait on a vendor for every change. Costs are predictable, data stays under our roof, and when compliance asks the tough questions, we actually have answers. ILUM’s integration with our storage and existing monitoring (including Splunk) made the audit process much easier. To be honest, ILUM has become a regular part of our daily work. We use it all the time now — submitting jobs, tracking progress, digging through results and logs. Onboarding new team members is much faster because everything is centralized. It’s made itself almost invisible, in a good way: just there, quietly doing its job, which is honestly the best you can ask for in a platform like this.
Verified User in Telecommunications
ET
Verified User in Telecommunications
07/24/2025
Validated Reviewer
Review source: Organic

An excellent platform for powerful and secure data transformations

|ILUM
Because ILUM uses industry-standard technologies but does not lock features away behind a walled garden it is very capable a powerful tool for data processing, while being extremely cost-effective (comparing against e.g. Databricks). ILUM helps us daily with orchestration of Spark jobs on Kubernetes clusters. The customer support is extremely helpful and any problems, which may emerge, can be solved in a couple of days.

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What is Ilum?

Ilum - Free Data Lakehouse

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Year Founded
2019
Website
ilum.cloud