A data profile of the people who buy, follow and care about MongoDB in Germany — modelled from more than twelve digital signal sources. MongoDB has an estimated audience of 235,710 people in Germany.
The average MongoDB fan in Germany is 37.8 years old, more male, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include Telematics, Scalability, Connected car, with strongest over-indexing on Telematics (364.91× the country average).
Demographically, the MongoDB audience skews more male with an average age of 37.8, and over-indexes on personality traits such as Need for Security, Career Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical MongoDB fan in Germany is more male, around 37.8 years old, with strong Need for Security tendencies and a notable affinity for Telematics.
The key figures that characterise the MongoDB profile in Germany.
32.6% are female, 67.4% are male, average age 37.8.
| Metric | Value |
|---|---|
| Female | 32.6% |
| Male | 67.4% |
| Average age | 37.8 |
| Estimated audience size | 235,710 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 18% | |
| 20-29 | 24% | |
| 30-39 | 22% | |
| 40-49 | 22% | |
| 50+ | 13% |
of the worldwide MongoDB audience comes from Germany.
| Country | Share |
|---|---|
| India | 16.2% |
| China | 15.8% |
| United States | 10.3% |
Where the MongoDB audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Berlin | ~20K | 1.42× | |
| 02 | Hessen | ~20K | 1.33× | |
| 03 | Bayern | ~50K | 1.19× | |
| 04 | Baden-Württemberg | ~40K | 1.19× | |
| 05 | Hamburg | ~6K | 1.10× | |
| 06 | Nordrhein-Westfalen | ~50K | 1.02× | |
| 07 | Bremen | ~2K | 1.02× | |
| 08 | Sachsen | ~10K | 0.95× | |
| 09 | Brandenburg | ~7K | 0.93× | |
| 10 | Schleswig-Holstein | ~8K | 0.90× | |
| 11 | Saarland | ~3K | 0.89× | |
| 12 | Niedersachsen | ~20K | 0.87× | |
| 13 | Rheinland-Pfalz | ~10K | 0.87× | |
| 14 | Thüringen | ~5K | 0.84× | |
| 15 | Mecklenburg-Vorpommern | ~4K | 0.79× | |
| 16 | Sachsen-Anhalt | ~5K | 0.76× |
The strongest cross-interests of the MongoDB audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Scalability | Business & Career | 415.82× | ||
| 02 | Data architect | Business & Career | 413.14× | ||
| 03 | Apache HBase | Technology & Electronics | 382.94× | ||
| 04 | Transportation management system | Business & Career | 370.45× | ||
| 05 | Telematics | Technology & Electronics | 364.91× | ||
| 06 | Apache Tomcat | Technology & Electronics | 356.00× | ||
| 07 | Security information and event management | Business & Career | 351.78× | ||
| 08 | Competitive intelligence | Business & Career | 349.47× | ||
| 09 | Web application security | Internet & Social Media | 308.47× | ||
| 10 | Quality audit | Business & Career | 307.14× | ||
| 11 | Penetration test | Technology & Electronics | 305.21× | ||
| 12 | IT risk | Technology & Electronics | 303.58× | ||
| 13 | Commodity chain | Business & Career | 302.75× | ||
| 14 | IPv6 | Technology & Electronics | 194.62× | ||
| 15 | Firewall (computing) | Technology & Electronics | 148.46× | ||
| 16 | Connected car | Cars & Mobility | 142.35× | ||
| 17 | NoSQL | Technology & Electronics | 135.25× | ||
| 18 | VMware | Technology & Electronics | 107.03× | ||
| 19 | JIRA | Technology & Electronics | 87.42× | ||
| 20 | Software testing | Technology & Electronics | 65.75× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 3.69× | |
| Career Orientation | POWER | 3.27× | |
| Convenience Orientation | PREMIUM | 2.13× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.75× | |
| Extroversion | THRILL | 0.84× | |
| Sports Activity | POWER | 1.02× |
MongoDB's target market in Germany covers an estimated 235,710 people, concentrated in Nordrhein-Westfalen and Bayern.
32.6% of the MongoDB audience are female, 67.4% are male, with an average age of 37.8 years.
MongoDB fans show strongest brand affinity for Telematics (364.91×), Scalability (415.82×), and Connected car (142.35×) over the country average.
MongoDB fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~50K), Bayern (reach ~50K), and Baden-Württemberg (reach ~40K). These three regions account for the largest share of the active audience.
Beyond MongoDB itself, the audience over-indexes on Scalability (415.82×), Connected car (142.35×), Software testing (65.75×), and Data architect (413.14×) compared to the Germany average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Germany 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.
This audience profile is generated by Rascasse from anonymized search-behavior signals across Germany. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.
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