Ilum转发了
Ilum: The Fresh and Free Alternative to #Databricks and #Cloudera ?? Ilum is a free, modern data lakehouse platform designed to empower data teams with the flexibility and tools they need for today’s data challenges. Whether you’re seeking a replacement for #Cloudera or an on-premise alternative to #Databricks, Ilum offers a powerful, unified solution tailored for data engineering, analytics, AI, and ML workloads. ?? Why Choose Ilum? ?? Built for AI and ML: Fully equipped with tools like MLflow, Jupyter Notebooks, and the upcoming integration with Mage.ai, making MLOps seamless and scalable. ?? Open Table Format Support: Work effortlessly with Delta Lake, Iceberg, Hudi, and even the emerging Apache Paimon. Ilum allows mixing formats in the same Spark job, giving you unmatched flexibility. ?? BI Integration: Easily connect to Tableau, PowerBI, Superset, or any tool via the JDBC interface, enabling real-time analytics on your data lakehouse. ?? Modular and Customizable: Activate optional modules like Apache Superset, Airflow, dbt, or Apache NiFi to suit your team’s workflows. No one-size-fits-all—Ilum adapts to you. ?? Multi-Cluster Support: Manage workloads across multiple clusters, whether on Kubernetes, YARN, hybrid setups, or even your local machine for testing. Perfect for migrations, benchmarking, and isolated team environments. ?? Data Lineage and Governance: With built-in Open Lineage support, track every transformation and change for compliance, debugging, and transparency. ?? SQL Editor with Visualization: Query your data using familiar SQL dialects like Spark SQL, Delta, or Iceberg, and instantly visualize your results with built-in charts. ?? Runs Anywhere: Cloud, on-premises, or hybrid—you decide. Ilum even supports lightweight setups on laptops for local testing. ?? A Platform Built for the Future: Ilum is more than just a data platform; it’s a fully integrated ecosystem that simplifies the complexities of big data. From automated optimizations for Delta tables to advanced Spark microservices for real-time API-based processing, Ilum bridges the gap between modern flexibility and robust performance. ?? Ready to Transform Your Data Workflows? Don’t settle for outdated, expensive solutions. Join the growing community of data engineers embracing Ilum’s free and flexible approach to data management and analytics. ?? Get started today: https://lnkd.in/diRn8FVr #DataLakehouse #BigData #DataEngineering #DataAnalytics #AI #MachineLearning #MLOps #OpenSource
I'm excited to see how it empowers users to streamline their workflows and integrate innovative tools seamlessly.
Ilum's focus on modularity and customization shows they truly understand the diverse needs of data teams.
Wow, what a compelling offering! The flexibility and integration across platforms is a game-changer for data teams. Excited to see how Ilum evolves! Manish Kumar Shah
Ilum's support for emerging formats like Apache Paimon shows they're ahead of the curve. Excited to see how this evolves.
SQL editor with built-in visualization is a dream come true for anyone working with big data. This feature alone makes it worth exploring.
Empowering data teams with flexibility and tools, Ilum is the future of data management. Say goodbye to outdated solutions and join the community today!.
A free, powerful alternative to Databricks? Count me in! Ilum looks like the future of data lakehouses.
A free, customizable platform that supports cutting-edge tools like Delta Lake and MLflow? Ilum is the future!
Real-time analytics and BI integration make Ilum an indispensable tool for data-driven organizations.
Thanks for the shoutout!