Databricks
Large (~7,000)
MongoDB
Large (~5,500)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
MongoDB
Best for: Professionals interested in MongoDB
Ratings
DatabricksMongoDB
4.1
4.0
Overall
3.9
3.8
Work-Life Balance
4.0
4.1
Culture & Values
4.3
4.0
Comp & Benefits
3.8
3.8
Senior Mgmt
3.9
3.8
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 80% Recommend
👤 84% CEO Approval (CEO)
Culture Values
Databricks only
🌈 Diverse & Inclusive
MongoDB only
🔓 Open Source
Shared
⚙️ Engineering-Driven🌱 Learning & Growth💎 Strong Comp & Equity🎯 Direct Product Impact
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
MongoDB
- World-class enablement — best training programs many employees have encountered
- Competitive pay with strong equity, especially for senior roles
- No 401k match and culture has gotten more political at scale
- Work-life balance is team-dependent — some teams have long hours expectations
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
MongoDB
MongoDB — check Glassdoor for detailed reviews.
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
MongoDB — 428 jobs
💼 Sales / GTM
171
💻 Engineering
133
📋 Product
32
📣 Marketing
14
⚙️ Operations
9
👤 HR / People
8
💰 Finance
6
🧠 ML / AI
4
📊 Data
2
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. MongoDB scores 4.0/5.0 overall with a 3.8 WLB. That’s a 0.1-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth, Strong Comp & Equity, Direct Product Impact. Databricks also emphasizes Diverse & Inclusive. MongoDB also emphasizes Open Source.
On the hiring front, Databricks has 842 open roles and MongoDB has 428 open roles.