Databricks
Databricks is a data and AI platform company that provides a unified lakehouse architecture combining data engineering, data warehousing, data science, and machine learning on top of cloud object storage. It serves enterprises across industries that need to process large-scale data and build AI applications, monetizing through cloud-based software subscriptions and related services. The platform is delivered primarily as a managed service on major public clouds.
- Data Warehousing & Lakes
- MLOps & ML Platforms
- Business Intelligence & Dashboards
- Revenue
- $1.8B
- Employees
- 7,000
- Founded
- 2013
- Headquarters
- San Francisco, United States of America
What 294 Arbolus experts think of Databricks
NPS scores are high: most experts report scores between 8 and 10, with a majority expressing strong satisfaction. Renewal intent is robust, especially among high and mid spenders (many confirmed as 'Yes'). Stickiness is high, with most customers at 'MoreThan1Year' implementation and centralized workloads on Databricks. Key feedback themes include powerful unified analytics and AI capabilities, scalability, and versatility. Complexity and cost management are top cited challenges, especially for less technical or smaller teams, but do not overshadow the overall positive outlook.Overall Customer Sentiment: Positive
Who reviewed Databricks
- C-Suite 60% (176)
- Director 24% (71)
- Manager 16% (47)
Employer names and spend open in the full report, along with the other 291 customers.
Everything 294 customers told us about Databricks.
Employer names, spend, renewal intent and every written answer behind the numbers on this page.
Sentiment
50 Net Promoter Score, from 293 scored reviews- Promoters 166
- Passives 108
- Detractors 19
Cumulative NPS by month
+0 over 6 months- May 8
- Jun 8
- Jul 8
- Aug 8
- Sep 9
- Oct 8
Net Promoter Score across 14 reviews, accumulated up to each month. Category median 32 across 14 companies.
Praised
- Unified Architecture for Data and AI
- Scalability and Data Consolidation
- Industry Leading ML and AI Tooling
- Expand Accessibility
Criticised
- Cost Management
- Operational Complexity
- Ease of Use for Non-Technical Users
- Stickiness and Migration Risk
What customers say
Renewal intent
Plan to renew 79%Plan to renew, by seniority
- 77% 116 answers
- 80% 41 answers
- 85% 26 answers
- 83% 12 answers
- 8.8/10 Average score from customers who will renew
- 7.6/10 Average score from undecided customers
- 7/10 Average score from customers not renewing
Top alternatives
Most weighed by Databricks customers
Report
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