Compare UserZoom vs Databricks BETASee how working at UserZoom vs. Databricks compares on a variety of workplace factors. By comparing employers on employee ratings, salaries, reviews, pros/cons, job openings and more, you'll feel one step ahead of the rest. All salaries and reviews are posted by employees working at UserZoom vs. Databricks. Learn more about each company and apply to jobs near you.
- UserZoom scored higher in 1 area: Work-life balance.
- Databricks scored higher in 8 areas: Overall Rating, Career Opportunities, Compensation & Benefits, Senior Management, Culture & Values, CEO Approval, % Recommend to a friend and Positive Business Outlook.
What Employees Say
- "Work life balance" was the most mentioned Pro at UserZoom.
- "Fast growing" was the most mentioned Pro at Databricks.
- Databricks had 12 more reviews than UserZoom that mentioned "Growing pains" as a Con.
I have been working at UserZoom full-time
Great culture, leadership and opportunity. You are never the smartest person in the room which gives incredible opportunity to learn and develop. Continuous improvement is the company value and it... definitely shows.
Very fast growing scale up so inevitable there is a lot of change, not always the best communication and teething issues when changes are made. This is just the price of being at one of the most... exciting tech growth companies.
I have been working at Databricks full-time for more than 3 years
Databricks has some of the smartest minds in industry including both the technical talent and leadership. The company moves very quickly with a strong culture of innovation. I've never felt resource... constrained over my 3 years at the company. The general problem set that we work on is incredibly impactful on both data science and some of the largest data engineering workloads in the industry. I've also really appreciated the insight of both our executive leaders and our advisors (especially Ben Horowitz, who is a hell of a visionary).
I haven't felt like there are too many downsides of working here. Databricks has been in hyperscale mode for the entire time I've been here. That has posed its own challenges, especially in maturing... mid-level management. I think this problem is largely behind us as there are now better defined career paths and division of labor while maintaining good collaboration