Anyscale (4.2 Glassdoor) vs Databricks (4.1 Glassdoor) — side-by-side on culture values, work-life balance, compensation, and open roles.
| Anyscale | Databricks | |
|---|---|---|
| Founded | 2019 | 2013 |
| Employees | ~200 | ~13,000 |
| Core Product | Ray (distributed computing) | Lakehouse Platform |
| Glassdoor | 4.2 | 4.1 |
| Work-Life Balance | 3.8 | 3.9 |
| Remote? | Hybrid | Hybrid (~3 days/week) |
| Open Roles | 0 | 842 |
Anyscale is the company behind Ray, the open-source distributed computing framework used by OpenAI, Uber, and Spotify. Databricks built the Lakehouse platform on top of Apache Spark and Delta Lake. Both are engineering-driven, but Anyscale is a ~200-person startup while Databricks is a ~13,000-person pre-IPO giant valued at $62B.
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. Thatβs 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