I like how Databricks merges our warehousing and lakes into one architecture, eliminating the need to maintain separate storage and compute for operational reporting and predictive work on sensor data. This unified source of truth helps keep data duplication and sprawl in check while focusing on the operational picture. The Lakehouse concept of bringing warehousing and lake environments under one roof won me over. Unity Catalog simplifies governance by providing a clear view of data access, and Delta Live Tables efficiently manages our telemetry pipelines, reducing the effort needed for ensuring their reliability. I also find the initial setup quite easy with no bigger issues encountered.

I really appreciate that Databricks doesn't force a trade-off between control and convenience. My developers can access the cluster configuration for detailed tuning when necessary, but for routine tasks, the managed notebooks, job scheduling, and Unity Catalog take care of everything without needing a platform specialist. I like that Databricks borrows from software engineering practices instead of sticking to the classic analytics silo. The integration with version control, CI-friendly job definitions, and separated environments mean our data work follows the same review and release processes as the rest of our codebase. This consistency makes it easier to manage as the team grows.

What I like most about Databricks is how its user friendly UI brings the entire data engineering workflow into one platform. In my project, data lands in the Bronze layer through snaplogic, and we use databricks to transform it into Silver and Gold data products. The serverless compute option has significantly reduced the effort of managing infrastructure, while Unity Catalog makes governance and access control straightforward. I also find AI Genie and the built-in monitoring features useful for investigating pipeline failures, checking job runtimes, and debugging issues much faster.From a pricing perspective, the pay-for-what-you-use model works well for us, especially with serverless compute and auto-scaling, as we avoid paying for idle infrastructure. The documentation is comprehensive, onboarding new team members is relatively straightforward, and there is a strong knowledge base and community that helps resolve issues quickly. Overall, it has made our ETL development and day 2 day operations more efficient.