Overall experience with
How helpful reviews are selected
Critical Review
Industry standard capabilities delivered, but feature rollout lacks clarity
Likes and dislikes about
likes
What I like most is how well Databricks brings data engineering, analytics, and machine learning together on a single platform. The tight integration between Spark, Delta Lake, notebooks, and production workflows makes it easy to go from raw data to models in production without stitching together many separate tools. It scales reliably, works well with cloud-native architectures, and strikes a good balance between flexibility for engineers and productivity for teams.
June 16, 2026
dislikes
managing feature request process and how to more effectively collaborate in a complex space
June 17, 2026
This service may contain translations provided by Google. Google disclaims all warranties related to the translations, express or implied, including any warranties of accuracy, reliability, and any implied warranties of merchantability, fitness for a particular purpose and noninfringement. Gartner's use of this provider is for operational purposes and does not constitute an endorsement of its products or services.