Best for: Data engineers who want strong comp and deep technical pedigree at scale
Grafana Labs
Best for: Engineers who want open-source impact with fully remote flexibility and strong WLB
Ratings
DatabricksGrafana Labs
4.1
4.1
Overall
3.9
4.3
Work-Life Balance
4.0
4.1
Culture & Values
4.3
4.0
Comp & Benefits
3.8
3.6
Senior Mgmt
3.9
3.8
Career Opps
👍 82% Recommend👤 88% CEO Approval (Ali Ghodsi)
👍 78% Recommend👤 71% CEO Approval (Raj Dutt)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
Grafana Labs only
🌐 Remote-Friendly🔓 Open Source🪟 Transparent⚖️ Work-Life Balance
Shared
⚙️ Engineering-Driven🌱 Learning & Growth
Pros & Cons
Databricks
✓Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
✓Strong compensation and equity packages consistently above market
✗Hypergrowth means org changes are constant — teams restructure frequently
✗Some legacy Spark-era tech debt that can slow down new features
Grafana Labs
✓100% remote-first across 40+ countries with generous PTO (~30 days) and mandatory shutdown days
✓Engineers rate it 4.9/5 — absurdly talented colleagues with strong open-source culture
✗Career progression above staff level can be challenging with limited upward mobility
✗Product management is sometimes marginalized with engineers holding disproportionate power
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Grafana Labs
Choose Grafana Labs if you want deep open-source impact, fully remote flexibility, and excellent WLB — but expect limited career progression above staff level.