Ilum - 2026 Pricing, Features, Reviews & Alternatives

Run Anywhere, Scale as Needed – Deploy Ilum on cloud, on-premises, or hybrid environments, with native Kubernetes and YARN support to handle workloads of any size.

Supports Open Table Formats – Work with Delta Lake, Iceberg, and Hudi in a single platform, ensuring ACID compliance, schema evolution, and efficient data storage.

SQL-Driven Analytics & BI Integration – Use the built-in SQL editor to explore and query data. Connect Tableau, Power BI, and Apache Superset via JDBC for reporting and dashboards.

AI & ML-Ready with Built-in MLOps – Use Jupyter Notebooks, MLflow, and Mage.ai for training, tuning, and deploying machine learning models, all within Ilum.

Security & Governance – Track data changes with Open Lineage, manage permissions with Apache Ranger and RBAC, and maintain full control over access and compliance.

Multi-Cluster & Hybrid Support – Manage and compare multiple clusters in one place, move workloads between Kubernetes, YARN, or local Spark environments, and benchmark performance.

Centralized Data Management – Use Hive Metastore, Unity Catalog (coming soon), and Apache Nessie to structure and organize data across different storage systems.

ETL & Workflow Automation – Automate data processing with Apache Airflow and dbt, build streaming pipelines with Apache NiFi and Kafka, and keep workflows running smoothly.

Monitor Performance & Control Costs – Track job execution with Spark History Server, monitor resources in Grafana and Prometheus, and set job limits to avoid excessive usage.

Modular & Extensible – Enable only the tools you need, from ClickHouse and DuckDB for OLAP to Apache Flink and Trino for advanced processing.

UI & API-Driven – Use Ilum via the UI or automate tasks with its OpenAPI-compatible REST API, making it easy to integrate with existing systems.

Job Scheduling & Execution – Schedule Spark jobs, automate recurring tasks, and manage workflows with re-running job support and orchestration tools.

Supports Different Storage Backends – Store and process structured and unstructured data with MinIO, Ceph, SeaweedFS, or traditional HDFS setups.

Constantly Improving – New features like Iceberg REST, Paimon, and deeper data governance tools are in development to keep Ilum aligned with modern data needs.

Ilum is a modern, open alternative to Cloudera and Databricks, giving companies full control over their data, analytics, and AI workflows without high costs or vendor lock-in.