Product Avatar Image

Ilum

Show rating breakdown
23 reviews
  • 2 profiles
  • 14 categories
Average star rating
4.9
Serving customers since
2019
Profile Filters

All Products & Services

Product Avatar Image
ILUM

23 reviews

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

Product Avatar Image
Ilum

0 reviews

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.

Profile Name

Star Rating

23
0
0
0
0

Ilum Reviews

Review Filters
Profile Name
Star Rating
23
0
0
0
0
JM
Joel M.
10/28/2025
Validated Reviewer
Review source: G2 invite

Flexible, Cost-Effective Solution with Stellar Support

|ILUM
I appreciate that ILUM is a free platform, which makes it the most cost-effective choice for us as a data lakehouse platform. The fact that it integrates seamlessly with our existing systems for data processing, visualization, ETL, and more is invaluable. By handing over the management of tooling to ILUM, we can focus more on data processing rather than on infrastructure, significantly optimizing our workflows. I find the ability to choose where and how to run workloads highly beneficial because it saves us approximately 30% on compute costs. The safety of our data being always in our own hands is reassuring. ILUM manages to support advanced configurations with platforms such as Apache Airflow and integrates well with Apache Spark, which considerably boosts our team's efficiency by enabling autoconfiguration and microservices creation. I admire ILUM's adaptability and its team’s responsiveness; we request features, and the development team quickly implements them. This has led to a platform that grows reliably with our needs, much to our developers' satisfaction, providing them access to cutting-edge tools. Lastly, I value the helpfulness of ILUM’s support team, who assisted us in tailoring the platform to meet our specific needs, ensuring we fully leverage its capabilities.
MD
Mark D.
10/26/2025
Validated Reviewer
Verified Current User
Review source: Organic

From Hadoop to K8s with lower TCO

|ILUM
We can own the entire environment on-prem today and move it to our private cloud tomorrow without changing the way teams work, the Kubernetes-first model makes that portability real. For the organization, that means modernization on our terms: virtual clusters with quotas per team, job-level cost guidance, built-in lineage/ERD, and an OSS toolchain (Airflow, dbt, MLflow, Superset) that integrates cleanly. For the team, day-to-day delivery is faster: the SQL editor/notebooks and Jupyter are in one place, deployments are straightforward, and we use it every day across dev/UAT/prod without juggling licenses. Implementation was practical rather than painful, Hive Metastore slotted in, and integration with existing pipelines was mostly configuration, not rewrites.
HN
Harvey N.
10/21/2025
Validated Reviewer
Verified Current User
Review source: Organic

ILUM Simplifies Spark Management—Great for Delta, Easy Onboarding with Helpful Docs

|ILUM
Being able to manage and monitor my Spark cluster in an on-premise environment through a single, user-friendly web interface, as well as through a REST API, has greatly simplified the process of launching Spark jobs for my client applications, integration was not a problem thanks to well documented REST API. ILUMs has saved me considerable time and made managing Kubernetes-based Spark deployments much easier. I also appreciate its support for the Delta format, which is the one I rely on most often. Overall, ILUM has significantly streamlined the implementation of a full-stack data lakehouse solution for both myself and my company.

About

Contact

HQ Location:
Santa Fe, US

Social

@IlumCloud

What is Ilum?

Ilum - Free Data Lakehouse

Details

Year Founded
2019
Website
ilum.cloud