Databricks
Large (~7,000)
Pinecone
Small (~130)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Pinecone
Best for: Infrastructure engineers who want to build the vector database powering the AI revolution
Ratings
DatabricksPinecone
4.1
4.2
Overall
3.9
4.3
Work-Life Balance
4.0
4.5
Culture & Values
4.3
3.8
Comp & Benefits
3.8
4.0
Senior Mgmt
3.9
3.8
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 80% Recommend
👤 85% CEO Approval (Edo Liberty)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive
Pinecone only
🌐 Remote-Friendly🕐 Flexible Hours
Shared
⚙️ Engineering-Driven🌱 Learning & Growth🎯 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
Pinecone
- Exceptional colleagues — warm, welcoming, and technically among the best in the industry
- Fully remote with strong company culture, autonomy, and genuine growth opportunities
- Significant layoffs in 2024 (30% of staff) eroded trust and reduced headcount
- Below-market base salary even with equity compensation
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Pinecone
Choose Pinecone if you want fully remote work on critical AI infrastructure — but recent layoffs have created uncertainty.
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
Pinecone — 8 jobs
💻 Engineering
5
📋 Product
2
💼 Sales / GTM
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Pinecone scores 4.2/5.0 overall with a 4.3 WLB. That’s a 0.1-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth, Direct Product Impact. Databricks also emphasizes Strong Comp & Equity, Diverse & Inclusive. Pinecone also emphasizes Remote-Friendly, Flexible Hours.
On the hiring front, Databricks has 842 open roles and Pinecone has 8 open roles.