PS

Paweł S.

Senior Big Data Software Developer

Mid-Market (51-1000 emp.)

4/25/2025

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

4.5/5

What do you like best about 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 Review collected by and hosted on G2.com.

What do you dislike about ILUM?

1. The platform is relatively new, and some features may still be in early or experimental stages

2. Limited community support Review collected by and hosted on G2.com.

What problems is ILUM solving and how is that benefiting you?

Ilum addresses several key challenges commonly faced in modern data engineering environments. Primarily, it simplifies the orchestration and management of Apache Spark workloads across Kubernetes, YARN, and on-premise infrastructures, eliminating the need for vendor-specific solutions or cloud lock-in. By integrating seamlessly with tools such as Apache Airflow, MLflow, Jupyter, and Kafka, Ilum enables end-to-end data processing, machine learning, and pipeline orchestration within a unified, open-source ecosystem.

From a practical standpoint, Ilum has significantly reduced the operational complexity of managing distributed data workflows. It allows our team to quickly deploy and scale Spark applications, perform real-time and batch data processing, and integrate structured data lakes with advanced analytics and machine learning pipelines. The platform's modularity and adherence to open standards also make it easy to adapt to evolving use cases without major architectural changes.

In summary, Ilum empowers us to deliver reliable, scalable, and cloud-agnostic data solutions with improved efficiency, transparency, and flexibility. Review collected by and hosted on G2.com.

ET

Verified User in Telecommunications

Enterprise (> 1000 emp.)

7/24/2025

"An excellent platform for powerful and secure data transformations"

4.5/5

What do you like best about 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. Review collected by and hosted on G2.com.

What do you dislike about ILUM?

ILUM ongoingly improves its materials, which were a bit lacking, so we had to contact ILUM directly, so they can help us with us problems. Review collected by and hosted on G2.com.

TM

Tomasz M.

Services Operations Engineer

Small-Business (50 or fewer emp.)

7/24/2025

"Ordered jobs in comprehensive software"

5/5

What do you like best about ILUM?

Simple, intuitive software interface for the users or admins. Review collected by and hosted on G2.com.

What do you dislike about ILUM?

Working redirects to external applications (e.g., yarn). The need for customer support team training. Review collected by and hosted on G2.com.