AK aravind k. Data Engineer II Mid-Market (51-1000 emp.) 8/3/2026 "Reliable Platform for Building Scalable Data Pipelines" 5/5 What do you like best about Databricks? 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. Review collected by and hosted on G2.com. What do you dislike about Databricks? One downside is that troubleshooting can sometimes be difficult when a pipeline fails, as the error messages aren't always detailed enough and you may need to dig through multiple logs to find the root cause. The platform also has a lot of features, so it can take some time for new users to become comfortable with everything. While serverless is convenient, costs can increase if compute usage isn't monitored properly. I'd also like to see faster UI responsiveness in some areas, especially when navigating large job histories or catalogs. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks has helped me and my team simplify our data engineering workflow by providing a single platform for data ingestion, transformation, governance, and analytics. We use it to process data from Bronze to Silver and Gold layers, which has made our ETL pipelines more reliable and easier to manage. Features like serverless compute, Unity Catalog, and built-in monitoring have reduced operational effort, improved collaboration across teams, and helped us deliver data products faster. Review collected by and hosted on G2.com. Show More Response from Jess Darnell of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-13198355/official_response/edit) We're glad to hear that you find Databricks user-friendly and that it has streamlined your data engineering workflow. We appreciate your feedback on the serverless compute option, documentation, and community support. We understand your concerns about troubleshooting and UI responsiveness, and we are continuously working to improve these areas. Current UserValidated ReviewerSource: Organic Review from User Profile See what 1337 reviewers think of Databricks 4.6 out of 5 ยท Verified reviews from real users [ Read all reviews ](https://www.g2.com/products/databricks/reviews)