Databricks
Large (~7,000)
incident.io
Small (~140)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
incident.io
Best for: Engineers and salespeople who value a strong culture with 13 extra holidays per year and approachable, ego-free founders
Ratings
Databricksincident.io
4.1
4.5
Overall
3.9
4.1
Work-Life Balance
4.0
4.6
Culture & Values
4.3
4.5
Comp & Benefits
3.8
4.3
Senior Mgmt
3.9
4.3
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 90% Recommend
👤 95% CEO Approval (Stephen Whitworth)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
incident.io only
🪟 Transparent🛡️ Safe to Fail🚀 Ship Fast & Iterate🤝 Flat Hierarchy
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
incident.io
- Strong culture with a dedicated culture manager — values are practiced, not just stated
- Excellent compensation and benefits with strong career growth opportunities
- Rapid scaling can create instability — some report organizational growing pains
- London-centric with limited remote options for some roles
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
incident.io
Exceptional culture (4.5 stars) with genuine values, great benefits including 10% pension match, and kind colleagues — but London-centric with some layoff scars from 2024.
Open Roles
Databricks — 842 jobs
💼 Sales / GTM
353
💻 Engineering
284
📋 Product
39
📣 Marketing
34
📊 Data
22
👤 HR / People
12
🧠 ML / AI
12
⚙️ Operations
11
🎨 Design
6
💰 Finance
5
⚖️ Legal
5
incident.io — 25 jobs
💼 Sales / GTM
17
💻 Engineering
6
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. incident.io scores 4.5/5.0 overall with a 4.1 WLB. That’s a 0.4-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth. Databricks also emphasizes Strong Comp & Equity, Diverse & Inclusive, Direct Product Impact. incident.io also emphasizes Transparent, Safe to Fail, Ship Fast & Iterate, Flat Hierarchy.
On the hiring front, Databricks has 842 open roles and incident.io has 25 open roles.