

Founded by the creators of Apache Spark, Databricks builds software and hosted services for extracting value from big data.

Rick Schultz serves as the Chief Marketing Officer of Databricks. Rick started at Databricks in March of 2017. Rick currently resides in the San Francisco Bay Area.
Databricks's Net Promoter Score (NPS) is a 29 with 55% Promoters, 19% Passives, and 26% Detractors. Net Promoter Score tracks whether Databricks's customers would recommend using the product based on a scale of -100 to 100.
| 55% | Promoters |
|---|---|
| 19% | Passives |
| 26% | Detractors |
| Summary | Date | Score |
|---|---|---|
Jul 2024 29 | Jul 2024 | 29 |
Aug 2024 29 | Aug 2024 | 29 |
Oct 2024 29 | Oct 2024 | 29 |
Nov 2024 27 | Nov 2024 | 27 |
Dec 2024 29 | Dec 2024 | 29 |
Jan 2025 29 | Jan 2025 | 29 |
Feb 2025 29 | Feb 2025 | 29 |
Mar 2025 29 | Mar 2025 | 29 |
Apr 2025 29 | Apr 2025 | 29 |
Aug 2025 29 | Aug 2025 | 29 |
Nov 2025 27 | Nov 2025 | 27 |
Dec 2025 29 | Dec 2025 | 29 |
Net Promoter Score (NPS) is a management tool that can be used to gauge the satisfaction of a firm's customer relationships. NPS has been widely adopted as a key metric often linked to the revenue potential of a company’s product or service. The metric is based on customer responses to the question: "On a scale of 0 to 10, how likely are you to recommend the product to a friend?"
Those who respond with a score of 9 to 10 are known as Promoters, and are widely associated with behaviors that create value, including actively encouraging others to use the product or service. Those who respond with a score of 7 or 8 are categorized as Passives, and they are believed to be less likely to exhibit the value-creation traits of Promoters having a largely neutral effect on other consumers. Detractors are those who fall in the score range of 0 to 6 and represent dissatisfied customers of the product sometimes actively recommending against using the product.
Female customers rated Databricks's NPS 20 points higher than Male customers.
Databricks's NPS was rated 17 by Male customers on Comparably.
Databricks's NPS was rated 37 by Female customers on Comparably.
Databricks's NPS was rated the highest by African American/Black customers, and the lowest by Asian or Pacific Islander customers.
| Summary | Ethnicity | Score |
|---|---|---|
Caucasian 13 | Caucasian | 13 |
African American/Black 50 | African American/Black | 50 |
Asian or Pacific Islander -5 | Asian or Pacific Islander | -5 |
Other 15 | Other | 15 |
Databricks's NPS was rated the highest by customers ages 18-25, and the lowest by customers ages 26-30.
Databricks's NPS was rated the highest by customers who have used Databricks's products/services for 2 to 5 Years, and the lowest by customers with 1 to 2 Years of usage.
| Summary | Usage | Score |
|---|---|---|
Less than 1 Year 35 | Less than 1 Year | 35 |
1 to 2 Years -1 | 1 to 2 Years | -1 |
2 to 5 Years 41 | 2 to 5 Years | 41 |
Out of the 8 Databricks customer reviews 6 were positive and 2 were constructive. Databricks customer reviews reflect that more than half of the customers have a favorable experience using the products/services of the company.
Customer Loyalty is a strong indicator of whether or not a customer will choose a brand repeatedly over a competitor that offers similar products/services.
73% of Databricks users/customers answered "Yes" when asked: "Would you consider yourself a loyal user/customer?"
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Female customers rated Databricks's Customer Loyalty score 8% higher than Male customers.
Databricks's Customer Loyalty score was rated the highest by Asian or Pacific Islander customers, and the lowest by Caucasian customers.
% who answered "Yes"
Databricks's Customer Loyalty score was rated the highest by customers ages 41-45, and the lowest by customers ages 26-30.
| Summary | Age | Score |
|---|---|---|
18-25 82% | 18-25 | 82% |
26-30 44% | 26-30 | 44% |
31-35 81% | 31-35 | 81% |
36-40 78% | 36-40 | 78% |
41-45 87% | 41-45 | 87% |
46-50 85% | 46-50 | 85% |
Databricks's Customer Loyalty score was rated the highest by customers who have used Databricks's products/services for 2 to 5 Years, and the lowest by customers with 1 to 2 Years of usage.
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Databricks's Customer Loyalty score was rated the highest by Accounting industry customers, and the lowest by Tech industry customers.
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Databricks has an overall Product Quality score of 3.9 out of 5 stars rated by its users and customers.
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Databricks’s product quality score is a 3.9 out of 5 as rated by its users and customers. Reviewers from the Banking and Financial Services industry rated Databricks's product the highest. Reviewers from the Accounting industry rated Databricks the lowest at 3.1.
Databricks's Product Quality score was rated highest by customers from the Banking and Financial Services industry, and rated lowest by customers from the Accounting industry.
Female customers rated Databricks's Product Quality score 0.4 stars higher than Male customers.
Databricks's Product Quality score was rated the highest by African American/Black customers, and the lowest by Caucasian customers.
| Summary | Ethnicity | Score |
|---|---|---|
Caucasian 3.7 | Caucasian | 3.7 |
African American/Black 4.4 | African American/Black | 4.4 |
Asian or Pacific Islander 3.7 | Asian or Pacific Islander | 3.7 |
Other 4.2 | Other | 4.2 |
Databricks's Product Quality score was rated the highest by customers ages 46-50, and the lowest by customers ages 26-30.
| Summary | Age | Score |
|---|---|---|
18-25 4.1 | 18-25 | 4.1 |
26-30 3.2 | 26-30 | 3.2 |
31-35 4 | 31-35 | 4 |
36-40 3.7 | 36-40 | 3.7 |
41-45 4.1 | 41-45 | 4.1 |
46-50 4.3 | 46-50 | 4.3 |
Databricks's Product Quality score was rated the highest by customers who have used Databricks's products/services for Less than 1 Year, and the lowest by customers with 1 to 2 Years of usage.
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Databricks's Product Quality score was rated the highest by Banking and Financial Services industry customers, and the lowest by Accounting industry customers.
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Databricks has a value for money and ROI score of 3.8 out of 5 stars rated by its users and customers.
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Not every product or service fits the needs of a certain user or industry. The users that rank the value for money and ROI highest are mainly from Banking and Financial Services industry. The users from the Retail industry think that they had the lowest ROI from Databricks.
Databricks's ROI score was rated highest by customers ages 18-25, and rated lowest by customers ages 26-30.
Female customers rated Databricks's ROI score 0.5 stars higher than Male customers.
Databricks's ROI score was rated the highest by African American/Black customers, and the lowest by Asian or Pacific Islander customers.
| Summary | Ethnicity | Score |
|---|---|---|
Caucasian 3.8 | Caucasian | 3.8 |
African American/Black 4.5 | African American/Black | 4.5 |
Asian or Pacific Islander 3.4 | Asian or Pacific Islander | 3.4 |
Other 4 | Other | 4 |
Databricks's ROI score was rated the highest by customers ages 18-25, and the lowest by customers ages 26-30.
| Summary | Age | Score |
|---|---|---|
18-25 5 | 18-25 | 5 |
26-30 2.9 | 26-30 | 2.9 |
31-35 3.5 | 31-35 | 3.5 |
36-40 3.6 | 36-40 | 3.6 |
41-45 4.2 | 41-45 | 4.2 |
46-50 4.6 | 46-50 | 4.6 |
Databricks's ROI score was rated the highest by customers who have used Databricks's products/services for Less than 1 Year, and the lowest by customers with 2 to 5 Years of usage.
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Databricks's ROI score was rated the highest by Banking and Financial Services industry customers, and the lowest by Retail industry customers.
Sign Up for Brand Profile PRO to get the full ROI by Industry data.
Databricks has an overall Customer Satisfaction score of 78 rated by its users and customers.
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Customer Satisfaction Score (also known as CSAT), is a metric used to quantify how satisfied customers are with a company or brand’s products and services. The Customer Satisfaction Score is based on customers response to the question: “How would you rate your overall satisfaction with the service you received?” The score is calculated using the formula: (The total number answer of “Very Satisfied” and “Satisfied”) ÷ (The total response) x100, and it is generally displayed in percentages. Some of the main benefits of the CSAT for businesses are tracking retention, identifying happy customers and growing relationships, and gaining repeat business to build a sustainable brand.
Databricks's Customer Satisfaction score was rated highest by customers ages 41-45, and rated lowest by customers from the Accounting industry.
Female customers rated Databricks's Customer Satisfaction score 11 points higher than Male customers.
Very Satisfied | 47% | |
|---|---|---|
Satisfied | 28% | |
Neither Satisfied nor Dissatisfied | 13% | |
Dissatisfied | 3% | |
Very Dissatisfied | 9% |
Very Satisfied | 65% | |
|---|---|---|
Satisfied | 21% | |
Neither Satisfied nor Dissatisfied | 14% | |
Dissatisfied | 0% | |
Very Dissatisfied | 0% |
Databricks' Customer Satisfaction (CSAT) score was rated 72% according to Caucasian users and customers.
Databricks' Customer Satisfaction (CSAT) score was rated 80% according to African American/Black users and customers.
Databricks' Customer Satisfaction (CSAT) score was rated 71% according to Asian or Pacific Islander users and customers.
Databricks' Customer Satisfaction (CSAT) score was rated 67% according to Other users and customers.
Databricks's Customer Satisfaction score was rated the highest by customers ages 41-45, and the lowest by customers ages 36-40.
| Breakdown | Age | Score | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18-25 | 80% | |||||||||||||||
| 26-30 | 58% | |||||||||||||||
| 31-35 | 75% | |||||||||||||||
| 36-40 | 55% | |||||||||||||||
| 41-45 | 100% | |||||||||||||||
| 46-50 | 80% |
Databricks's Customer Satisfaction score was rated the highest by customers who have used Databricks's products/services for 1 to 2 Years, and the lowest by customers with 2 to 5 Years of usage.
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Databricks's Customer Satisfaction score was rated the highest by Architecture and Planning industry customers, and the lowest by Accounting industry customers.
Sign Up for Brand Profile PRO to get the full Customer Satisfaction by Industry data.
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}Databricks has an overall Customer Service score of 3.8 out of 5 stars rated by its users and customers.
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San Francisco, CA
http://databricks.com
1(866) 330-0121
Databricks's Customer Service score was rated highest by customers ages 18-25, and rated lowest by customers ages 26-30.
Female customers rated Databricks's Customer Service score 0.5 stars higher than Male customers.
Databricks's Customer Service score was rated the highest by African American/Black customers, and the lowest by Asian or Pacific Islander customers.
| Summary | Ethnicity | Customer Service Score |
|---|---|---|
Caucasian 3.8 | Caucasian | 3.8 |
African American/Black 4.4 | African American/Black | 4.4 |
Asian or Pacific Islander 3.6 | Asian or Pacific Islander | 3.6 |
Other 4 | Other | 4 |
Databricks's Customer Service score was rated the highest by customers ages 18-25, and the lowest by customers ages 26-30.
| Summary | Age | Customer Service Score |
|---|---|---|
18-25 5 | 18-25 | 5 |
26-30 2.8 | 26-30 | 2.8 |
31-35 3.8 | 31-35 | 3.8 |
36-40 3.7 | 36-40 | 3.7 |
41-45 4.1 | 41-45 | 4.1 |
46-50 4.5 | 46-50 | 4.5 |
Databricks's Customer Service score was rated the highest by customers who have used Databricks's products/services for 2 to 5 Years, and the lowest by customers with 1 to 2 Years of usage.
Sign Up for Brand Profile PRO to get the full Customer Service by Usage data.
Databricks's Customer Service score was rated the highest by Banking and Financial Services industry customers, and the lowest by Architecture and Planning industry customers.
Sign Up for Brand Profile PRO to get the full Customer Service by Industry data.
Databricks has a 4.3/5 stars for its overall company culture rated by their employees

Databricks scored a 29 for Net Promoter Score and a 25 for Employee Net Promoter Score. NPS gauges how likely a customer of Databricks would recommend the brand to a friend. ENPS measures how likely Databricks employees would recommend working at Databricks to a friend.
| 55% | Promoters |
|---|---|
| 19% | Passive |
| 26% | Detractors |
| 54% | Promoters |
|---|---|
| 17% | Passive |
| 29% | Detractors |