Anyscale vs Databricks

Anyscale vs Databricks: Culture Compared

Anyscale (4.2 Glassdoor) vs Databricks (4.1 Glassdoor) — side-by-side on culture values, work-life balance, compensation, and open roles.

Anyscale

Anyscale

Medium (~250)
Databricks

Databricks

Large (~7,000)
Anyscale
Best for: Distributed systems and ML infrastructure engineers who want to work on the Ray open-source project and commercial AI infra
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
AnyscaleDatabricks
4.2
4.1
Overall
3.8
3.9
Work-Life Balance
4.2
4.0
Culture & Values
4.1
4.3
Comp & Benefits
4.0
3.8
Senior Mgmt
4.0
3.9
Career Opps
πŸ‘ 84% Recommend πŸ‘€ 87% CEO Approval (Robert Nishihara)
πŸ‘ 82% Recommend πŸ‘€ 88% CEO Approval (Ali Ghodsi)
Anyscale only
πŸ”“ Open Source🀝 Flat HierarchyπŸš€ Ship Fast & Iterate
Databricks only
🌱 Learning & GrowthπŸ’Ž Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
Shared
βš™οΈ Engineering-Driven

Anyscale

  • βœ“Brilliant colleagues from top companies
  • βœ“Direct impact on AI/ML ecosystem
  • βœ—Context switching between projects
  • βœ—Documentation can lag behind development

Databricks

  • βœ“Engineers who built Spark, Delta Lake, MLflow β€” deep technical pedigree
  • βœ“Strong compensation and equity packages consistently above market
  • βœ—Hypergrowth means org changes are constant β€” teams restructure frequently
  • βœ—Some legacy Spark-era tech debt that can slow down new features
Anyscale
Choose Anyscale if you want to work on Ray β€” the dominant compute framework for AI workloads β€” with strong engineering culture and open-source DNA.
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity β€” but brace for constant org changes.

Anyscale

No open roles currently listed

Databricks β€” 842 jobs

πŸ’Ό Sales / GTM
353
πŸ’» Engineering
284
πŸ“‹ Product
39
πŸ“£ Marketing
34
πŸ“Š Data
22
πŸ‘€ HR / People
12
🧠 ML / AI
12
βš™οΈ Operations
11
🎨 Design
6
πŸ’° Finance
5
βš–οΈ Legal
5

Anyscale scores 4.2/5.0 on Glassdoor with a 3.8 work-life balance rating. Databricks scores 4.1/5.0 overall with a 3.9 WLB. That’s a 0.1-point gap on overall satisfaction.

Both companies share these culture values: Engineering-Driven. Anyscale also emphasizes Open Source, Flat Hierarchy, Ship Fast & Iterate. Databricks also emphasizes Learning & Growth, Strong Comp & Equity, Diverse & Inclusive, Direct Product Impact.

On the hiring front, Anyscale has 0 open roles and Databricks has 842 open roles.

Read more: Working at Databricks