ILUM - 2026 Pricing, Features, Reviews & Alternatives

ILUM is a modular, open data lakehouse platform deployable on cloud-managed Kubernetes (GKE, EKS, AKS), on-premises bare metal Kubernetes, Apache Hadoop Yarn, and hybrid environments. It unifies Apache Spark, Trino, DuckDB, and Apache Flink under a single control plane, fronted by an Apache Kyuubi SQL gateway that routes queries automatically based on workload type and data size. A free core tier is available with no licensing fees, and optional enterprise modules extend the platform for advanced governance, migration, and observability needs. All components deploy via Helm charts and reach a ready state within 2 to 6 minutes.

The platform supports open table formats Delta Lake, Apache Iceberg, and Apache Hudi with full ACID guarantees, and connects to catalog backends including Hive Metastore, Project Nessie, Unity Catalog, and DuckLake. A React-based web UI covers cluster management, job submission, SQL editing, table and file exploration, column-level data lineage, and security administration. Interactive long-running Spark sessions eliminate per-job initialization overhead, while batch jobs can be submitted via UI, REST API, or spark-submit. Cron-driven scheduling, Jupyter and JupyterHub notebook integration, Apache Zeppelin support, and an in-app SQL notebook editor with persistent query history round out the execution layer. Orchestration modules include Apache Airflow, Kestra, Mage, n8n, Apache NiFi, and dbt. Observability is provided through Prometheus, Grafana pre-configured dashboards, Loki log aggregation, and Promtail log shipping.

ILUM targets data engineering, data science, and DevOps teams in enterprise and mid-market organizations across financial services, e-commerce, and telecommunications, as well as any organization running large-scale ETL, machine learning pipelines, or interactive analytics on big data. Security controls include RBAC and ABAC, LDAP and OAuth2 authentication, TLS/mTLS inter-service encryption, Kubernetes Network Policies, and AES-256 encryption at rest, supporting SOC 2, HIPAA, and GDPR compliance requirements. The enterprise Bifrost toolkit automates Hadoop and Cloudera CDP estate migration with discovery, phased execution, data validation, and rollback capabilities. MLflow integration covers the full ML lifecycle, and an AI Data Analyst assistant supports natural language SQL exploration.