Airtable vs Databricks

Airtable vs Databricks Culture

Side-by-side culture comparison. See ratings, values, pros & cons, and open roles to find your best fit.

Airtable

Airtable

Mid (~900)
Databricks

Databricks

Large (~7,000)
Airtable
Best for: Engineers who want strong technical culture and real product impact at a leading no-code platform
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
AirtableDatabricks
4.1
4.1
Overall
4.0
3.9
Work-Life Balance
3.9
4.0
Culture & Values
4.0
4.3
Comp & Benefits
3.5
3.8
Senior Mgmt
3.8
3.9
Career Opps
👍 74% Recommend 👤 67% CEO Approval (Howie Liu)
👍 82% Recommend 👤 88% CEO Approval (Ali Ghodsi)
Airtable only
🤝 Flat Hierarchy🌐 Remote-Friendly
Databricks only
💎 Strong Comp & Equity
Shared
🎯 Direct Product Impact⚙️ Engineering-Driven🌱 Learning & Growth🌈 Diverse & Inclusive

Airtable

  • 91% of engineers recommend — dedicated culture ambassadors plan events and build community
  • Strong work-life balance (4.0/5) with remote-friendly options and great benefits
  • Post-layoff culture has been impacted — some report declining morale since 2023 restructuring
  • Communication from leadership could improve — management quality varies by team

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
Airtable
Choose Airtable if you want strong engineering culture, real product impact at scale, and good WLB — but expect some post-restructuring growing pains and leadership uncertainty.
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.

Airtable — 52 jobs

💼 Sales / GTM
17
💻 Engineering
15
📋 Product
4
🎨 Design
3
💰 Finance
3
📊 Data
1
⚖️ Legal
1
📣 Marketing
1
⚙️ Operations
1

Databricks — 805 jobs

💼 Sales / GTM
334
💻 Engineering
260
📋 Product
50
📊 Data
23
⚙️ Operations
17
🧠 ML / AI
13
💰 Finance
12
📣 Marketing
11
👤 HR / People
9
🎨 Design
5
⚖️ Legal
5
🎧 Support
1