--- title: ILUM Reviews meta_title: 'ILUM Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 23 reviews by the users' company size, role or industry to find out how ILUM works for a business like yours. aggregate_rating: rating_value: 4.9 review_count: 23 scale: '5' date_modified: '2026-07-07' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # ILUM Reviews **Vendor:** Ilum **Category:** [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) **Average Rating:** 4.9/5.0 **Total Reviews:** 23 ## About ILUM Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible. ## ILUM Pros & Cons **What users like:** - Users praise ILUM for its **ease of use** , which simplifies data processing and integration seamlessly across platforms. (17 reviews) - Users appreciate the **seamless integration** of ILUM with existing systems, enhancing workflows and data management efficiency. (17 reviews) - Users value the **seamless integrations** of ILUM, enhancing their workflows and data management across various systems. (17 reviews) - Users appreciate the **seamless setup process** of ILUM, enabling quick deployment and integration with existing systems. (16 reviews) - Users value the **seamless integrations** of ILUM, significantly enhancing their data management and analytics processes without complications. (15 reviews) - Users appreciate the **efficiency** of ILUM, which streamlines complex data management and enhances productivity across workflows. (14 reviews) - Users appreciate the **flexibility** of ILUM, seamlessly integrating varied data sources and enhancing workflow management. (14 reviews) - Functionality (14 reviews) - Implementation Ease (14 reviews) - Easy Setup (13 reviews) **What users dislike:** - Users find the **complex setup** challenging initially, needing experimentation and deeper understanding for advanced configurations. (9 reviews) - Users find the **difficult setup** of ILUM challenging, especially for advanced configurations and on-prem environments. (9 reviews) - Users find the **learning curve steep** initially, but daily use becomes intuitive with support and training. (9 reviews) - Users note that the **UI can feel unpolished and less intuitive** , making setup and navigation challenging for some teams. (8 reviews) - Users note that ILUM's **complexity in configuration** can require significant effort to navigate and optimize effectively. (7 reviews) - Users find the **UI complex and unintuitive** , especially for those transitioning from traditional engineering environments. (6 reviews) - Poor UI Design (6 reviews) - Complex Usage (5 reviews) - Users find the **difficult interface** of ILUM challenging at first, requiring adjustments for traditional engineering workflows. (5 reviews) - Expertise Required (5 reviews) - [View ILUM pricing details and edition comparison](https://www.g2.com/products/ilum-ilum/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-10+13%3A20%3A16+-0500&secure%5Bsession_id%5D=a2141697-8bd0-4bd3-8ec8-277b6adafeee&secure%5Btoken%5D=a5abf091d94152f7b12df9c6fc6d62ae0e2b152631577a43351fc66f8770c59c&format=llm_user) ## ILUM Integrations - [Apache Airflow](https://www.g2.com/products/apache-airflow/reviews) - [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) - [Apache Superset](https://www.g2.com/products/apache-superset/reviews) - [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews) - [ChatGPT](https://www.g2.com/products/chatgpt/reviews) - [ClickHouse](https://www.g2.com/products/clickhouse/reviews) - [DeepSeek V3](https://www.g2.com/products/deepseek-v3/reviews) - [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews) - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Google Cloud Managed Service for Apache Spark](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/reviews) - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews) - [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) - [Hadoop HDFS](https://www.g2.com/products/hadoop-hdfs/reviews) - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - [JupyterHub](https://www.g2.com/products/jupyterhub/reviews) - [kestra](https://www.g2.com/products/kestra-technologies-kestra/reviews) - [Llama 3 70B](https://www.g2.com/products/meta-llama-3-70b/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [MinIO AIStor](https://www.g2.com/products/minio-aistor/reviews) - [MongoDB](https://www.g2.com/products/mongodb/reviews) - [n8n](https://www.g2.com/products/n8n/reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) - [Prometheus](https://www.g2.com/products/prometheus/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Spark](https://www.g2.com/products/apache-spark/reviews) - [Spark SQL](https://www.g2.com/products/spark-sql/reviews) - [Spark Streaming](https://www.g2.com/products/spark-streaming/reviews) - [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [The Jupyter Notebook](https://www.g2.com/products/the-jupyter-notebook/reviews) ## ILUM Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Core Conversational Capabilities - AI Chatbots** - Controlled LLM Response Generation - Context Maintenance Within Sessions - Natural Language Understanding & Intent Inference **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Management** - Reporting - Auditing **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Data Management** - Data Integration - Data Discovery - Multi - Platform - Metadata **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Reports** - Reports Interface - Share Reports - Steps to Answer **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Data** - Reliability - Data Security **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Analytics** - Data Analytics **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Security** - Access Control - Roles Management - Compliance Management **Operations** - Metrics - Infrastructure management - Collaboration **Visualization** - Graphs and Charts - Score Cards - Dashboards - Formats **Analytics** - Analytics capabilities - Dasboard visualizations **Interaction** - Complex Query Handling - Natural Conversation - Understanding - Context Management - Customizability **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Task & Flow Management - AI Chatbots** - Scripted Dialogue & Decision Tree Support - Fallback Responses for Unknown Queries **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Security** - Compliance - Governance - Data Protection **Deployment** - On-Premise - Cloud **Maintainence** - Data Quality Management - Policy Management **Management** - Cataloging - Monitoring - Governing **Data Updates** - Historical Snapshots - Real-Time Updating **Monitoring and Management** - Data Observability - Testing capabilities **Learning** - User Interaction Learning - Error Learning **Generative AI** - AI Text Generation - AI Text Summarization **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Deployment & Embedding - AI Chatbots** - API Access for Business System Integration - Web Widget & SDK Embedding **Performance ** - Scalability **Collaboration** - Sharing - Co-Editing - Devices **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Content Generation** - Creativity - Content Accuracy **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Admin & Configuration - AI Chatbots** - No-Code Conversation Design **Security** - Data Governance - Data Security **System** - API Flexibility - Update Frequency and Utility - Cross-Platform Compatibility - Software Integration **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Agentic AI - Data Fabric** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - AI Chatbots** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications **Monitoring & Improvement - AI Chatbots** - Feedback-Driven Response Optimization **Data Updates** - Historical Snapshots - Real-Time Updating - Email Reports **Reliability & Safety - AI Chatbots** - Guardrails & Content Controls ## Top ILUM Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,317 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (708 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews)