JL Jan L. Software Engineer Mid-Market (51-1000 emp.) 11/3/2025 "Seamless Integration and Unified Features for Advanced Users" 5/5 What do you like best about ILUM? What I appreciate most about ILUM is its Ease of Integration. The platform is built to be open and modular, allowing it to connect seamlessly with the tools we already rely on, such as Airflow, dbt, Jupyter, and various BI tools through JDBC. We didn't have to overhaul our existing workflows; ILUM integrated effortlessly, which meant less hassle during implementation and a much quicker realization of value—something I consider a major advantage. Another standout aspect is the impressive range of features combined with how easy it is to use. Since ILUM is a unified platform, I can run SQL queries, review data lineage, and launch Spark jobs or notebooks all from a single interface, eliminating the need to constantly switch between different tools. Having that centralized control is incredibly convenient. The process of implementing ILUM is both straightforward and nuanced, but for the most part, it's simple if you have the right infrastructure in place. Because ILUM is Kubernetes-native and deployed via Helm charts, if you already have a Kubernetes cluster set up, you can get the core components—Spark and the UI—up and running in less than five minutes using a basic Helm command. Personally, I use ILUM as my main platform nearly every day in my work. Review collected by and hosted on G2.com. What do you dislike about ILUM? If I had to nitpick, the initial UI for the truly deep engineering stuff can be a little much for new users, but once you get past the initial setup (which is covered well by Customer Support and training), the daily use is very intuitive. The Interactive Sessions feature is also amazing for cutting down on Spark job startup time, making my day-to-day work way more efficient. Review collected by and hosted on G2.com. What problems is ILUM solving and how is that benefiting you? ILUM solves a few major headaches that were common in the big data world. The main problem is fragmentation—trying to stitch together separate, expensive data lakes and data warehouses, which leads to messy data silos, inconsistent results, and a lot of unnecessary work. Older proprietary systems like Cloudera or Databricks are costly and lock you in. ILUM gets rid of those problems. It's an open-source based Data Lakehouse platform that unifies everything. For me as a user, this translates to tangible benefits. First, it is much faster. The interactive Spark sessions eliminate those 20-40 second job start times, and processing can be up to twice as fast overall. This means I'm not waiting on the infrastructure; I'm actually doing my job. Second, it's cheaper and more efficient. The platform is zero-license, Kubernetes-native, and runs anywhere (cloud, on-prem, hybrid), which drastically cuts infrastructure costs—we talk about 60% savings for clients. That budget can go to actual development, not just licensing fees. Third, it provides clarity and governance with features like automated Data Lineage and a central Data Catalog, so I can trust the data's quality and know exactly where it's been. In short, it lets me focus on the challenging and valuable work of data science and analytics instead of wrestling with complex, slow, and expensive tools. Review collected by and hosted on G2.com. Show More Rating Updated (11/28/2025) Current UserValidated ReviewerSource: Organic See what 23 reviewers think of ILUM 4.9 out of 5 · Verified reviews from real users [ Read all reviews ](https://www.g2.com/products/ilum-ilum/reviews)