Higher values suggest stronger employee strain signals.
Higher values indicate elevated operational or reputational risk patterns.
Higher values mean stronger confidence based on signal breadth and consistency.
Scores are directional signals derived from public data — not certified assessments or recommendations. Confidence indicates data coverage, not accuracy. Learn how scores are calculated →
Enterprise SaaS / Data & AI industry average
Based on 2 reviews across 2 platforms, Databricks in the Enterprise SaaS / Data & AI space shows relatively low workforce stress signals and low overall risk indicators.
Databricks has been reviewed on 2 platforms. Aggregate reviewer sentiment appears broadly positive, with a combined stress score of 13/100 and risk score of 11/100. These findings are based on a limited number of signals and may not be fully representative.
This summary is generated from publicly available review and signal data. It is intended as an indicative overview only and should not be used as the sole basis for employment, investment, or business decisions. Signal volume and source diversity may limit representativeness.
Data and AI company behind the Lakehouse architecture; used by 10,000+ organisations to unify analytics, ML, and data engineering workloads.