ILUM

5 likes

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

Cost / License

Freemium
Proprietary

Origin

United States

Platforms

Self-Hosted
Software as a Service (SaaS)
Kubernetes

ILUM alternatives

5likes

29alternatives

0articles

Features

Properties

Lightweight
Privacy focused

Features

Data-management
Data streaming
Container Virtualization
Kubernetes
Real-time analytics
Data visualization
Real time collaboration
Ad-free
Extensible by Plugins/Extensions
Dark Mode
Website Monitoring
Distributed Computing
Server Management
Web-Based
Data analytics

ILUM News & Activities

Highlights All activities

Recent activities

dev-singh added ILUM as alternative to OrcaSheets
7 months ago
babsors liked ILUM
12 months ago

Comments and Reviews

OmanDominik

★★★★★

Dec 6, 2024

Ilum made deploying Spark on Kubernetes very easy and efficient despite the fact i do not know k8s very well. UI simplifies managing workloads a looot. Recommend for working with big data on Kubernetes!

Review from a new or low-activity account — shown here, but not counted in the app rating.

kacdev

★★★★★

Nov 28, 2024

Ilum significantly improved the way I manage and analyze large datasets, making complex workflows easier and faster to handle. It’s been invaluable for optimizing my data processing pipelines and gaining clear insights through its intuitive tools.

Review from a new or low-activity account — shown here, but not counted in the app rating.

ilum

★★★★★

Nov 27, 2024

EditedNov 28, 2024

As one of Ilum’s creators, I’m excited to share our platform with the data engineering community. Ilum simplifies big data workflows by integrating tools like Spark, Jupyter, and Delta Lake, while supporting Kubernetes and multi-cluster setups. It’s free to use, with premium support available. Built by engineers, for engineers!

Official Links

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What is ILUM?

Ilum: A Data Platform Built by Data Engineers, for Data Engineers

Ilum is a data lakehouse platform designed to simplify data management and analytics for data engineers. With support for Kubernetes, YARN, and hybrid setups, Ilum adapts to your infrastructure, making it easy to manage and scale your workloads.

Key features include:

Modular Architecture: Pre-integrated tools like Apache Superset, dbt, Jupyter Notebooks, and MLflow are ready to use.
Spark Integration: Run Spark jobs with a built-in UI, REST API, and out-of-the-box Spark History Server. Manage clusters, schedule jobs, and tweak configurations.
Multi-Cluster Support: Connect multiple clusters, compare performance, or isolate environments for teams.
Data Lineage: Automatically track every data transformation using the Open Lineage standard, ensuring transparency and compliance.
SQL Editor: Query using Delta, Iceberg, Hudi, or Spark SQL. Visualize results and manage data directly within the platform.
BI Integration: Connect tools like Tableau, PowerBI, and Apache Superset through a JDBC interface, enabling fast, scalable analytics.

Whether you’re processing petabytes of data or running small-scale analytics, Ilum provides a unified, scalable platform. Built by data engineers for data engineers, it’s free to use with premium support options available.