MongoDB Audience in United States

MongoDB has an estimated audience of 720,647 people in United States. 43.3% are female, 56.7% are male, average age 39.7. Top regions: California, Texas, New York. Top brand affinities: Docker (software), Groovy (programming language), Ruby (programming language), PostgreSQL, Eclipse (software).
The average MongoDB fan in United States is 39.7 years old, more male, and lives primarily in California. The audience is concentrated in California, Texas, New York. Top brand affinities include Docker (software), Groovy (programming language), Ruby (programming language), with strongest over-indexing on Docker (software) (98.35× the country average). Demographically, the MongoDB audience skews more male with an average age of 39.7, and over-indexes on personality traits such as Need for Security, LGBTQ+ Identity. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Technology & Electronics · Type: Brand
Demographics of MongoDB fans
| Metric | Value |
|---|---|
| Female | 43.3% |
| Male | 56.7% |
| Average age | 39.7 |
| Estimated audience size | 720,647 |
Audience persona
The typical MongoDB fan in United States is more male, around 39.7 years old, with strong Need for Security tendencies and a notable affinity for Docker (software).
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 147,100 | 1.86× |
| Texas | 93,483 | 1.51× |
| New York | 89,377 | 2.22× |
| Florida | 49,443 | 1.01× |
| Illinois | 32,411 | 1.35× |
| New Jersey | 32,229 | 1.76× |
| Virginia | 30,832 | 1.76× |
| Massachusetts | 28,724 | 2.02× |
| Georgia | 27,226 | 1.23× |
| Washington | 25,569 | 1.77× |
| Pennsylvania | 24,841 | 1.02× |
| North Carolina | 24,154 | 1.11× |
| Ohio | 19,761 | 0.89× |
| Michigan | 16,328 | 0.87× |
| Maryland | 15,657 | 1.26× |
| Indiana | 14,675 | 1.11× |
| Arizona | 14,524 | 0.99× |
| Colorado | 13,981 | 1.23× |
| Missouri | 10,684 | 0.92× |
| Tennessee | 10,253 | 0.71× |
| Minnesota | 9,536 | 0.92× |
| Oregon | 8,998 | 1.09× |
| Wisconsin | 8,399 | 0.77× |
| Utah | 8,385 | 1.3× |
| Connecticut | 8,207 | 1.14× |
| South Carolina | 6,916 | 0.64× |
| Alabama | 6,598 | 0.66× |
| Nevada | 5,799 | 0.83× |
| Kentucky | 5,380 | 0.6× |
| Oklahoma | 5,207 | 0.65× |
| Iowa | 4,891 | 0.82× |
| Louisiana | 4,798 | 0.52× |
| Kansas | 4,798 | 0.84× |
| Washington, District of Columbia | 4,353 | 2.01× |
| Arkansas | 4,057 | 0.68× |
| New Hampshire | 3,152 | 1.11× |
| Idaho | 3,001 | 0.83× |
| Nebraska | 2,563 | 0.71× |
| Hawaii | 2,408 | 0.78× |
| Mississippi | 2,322 | 0.39× |
| Rhode Island | 2,215 | 0.97× |
| Maine | 2,098 | 0.81× |
| New Mexico | 1,934 | 0.54× |
| Delaware | 1,743 | 0.88× |
| West Virginia | 1,625 | 0.48× |
| Montana | 1,191 | 0.6× |
| South Dakota | 1,058 | 0.64× |
| Vermont | 914 | 0.72× |
| Alaska | 802 | 0.52× |
| North Dakota | 687 | 0.46× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Docker (software) | 98.35× | Technology & Electronics |
| Groovy (programming language) | 35.65× | Technology & Electronics |
| Ruby (programming language) | 53.06× | Technology & Electronics |
| PostgreSQL | 185× | Technology & Electronics |
| Eclipse (software) | 83.02× | Technology & Electronics |
| JIRA | 71.21× | Technology & Electronics |
| Apache HBase | 191.31× | Technology & Electronics |
| NoSQL | 120.12× | Technology & Electronics |
| Bootstrap (front-end framework) | 117.55× | Internet & Social Media |
| Apache Hive | 203.49× | Technology & Electronics |
| Stack Overflow | 34.6× | Technology & Electronics |
| Fortinet | 99.4× | Technology & Electronics |
| Fujitsu | 104.07× | Technology & Electronics |
| Kubernetes | 73.26× | Technology & Electronics |
| Open-source software | 29.2× | Technology & Electronics |
| Software framework | 47.02× | Technology & Electronics |
| Rackspace | 87.79× | Technology & Electronics |
| Oracle Corporation | 26.14× | Technology & Electronics |
| Elasticsearch | 134.53× | Technology & Electronics |
| C Sharp (programming language) | 34.46× | Technology & Electronics |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| Need for Security | CONSERVATISM | 16.1 |
| LGBTQ+ Identity | OPEN | 2.79 |
| Early Adopter Mentality | POWER | 2.29 |
| Family Orientation | CONSERVATISM | 1.89 |
| Risk Appetite | THRILL | 1.64 |
| Career Orientation | POWER | 1.62 |
Worldwide distribution
| Country | Share |
|---|---|
| India | 16.1% |
| China | 15.7% |
| United States | 10.8% |
See MongoDB audiences in other countries
More Technology & Electronics audiences in United States
- Walmart (94,971,264)
- Target Corporation (79,586,810)
- Macy's (79,019,110)
- Lowe's (75,832,553)
- EBay (75,427,823)
Frequently asked questions
How many fans does MongoDB have in United States?
MongoDB has an estimated audience of 720,647 people in United States, concentrated in California and Texas.
What is the gender split and age of MongoDB fans?
43.3% of MongoDB fans are female, 56.7% are male, with an average age of 39.7 years.
Which brands do MongoDB fans like most?
MongoDB fans show strongest brand affinity for Docker (software) (98.35×), Groovy (programming language) (35.65×), and Ruby (programming language) (53.06×) over the country average.
Where do MongoDB fans live in United States?
MongoDB fans in United States are most concentrated in California (reach 147,100), Texas (reach 93,483), and New York (reach 89,377). These three regions account for the largest share of the active audience.
What other brands do MongoDB fans also like?
Beyond MongoDB itself, the audience over-indexes on Groovy (programming language) (35.65×), Ruby (programming language) (53.06×), PostgreSQL (185×), and Eclipse (software) (83.02×) compared to the United States average.
How to read this data
Audience size is the estimated number of people in United States who actively search for MongoDB. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.
About this audience profile
This audience profile is generated by Rascasse from anonymized search-behavior signals across United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.