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Fleetora · first roles in DEGoogle Cloud Bigtable VS MongoDB_
As of 30 October 2026, MongoDB is named by 4,272 companies and Google Cloud Bigtable by 109; Google Cloud Bigtable skews to companies under 200 people (38% vs 59%), MongoDB to companies over 1,000 (20% vs 31%).
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Google Cloud Bigtable's script and mail records show on hundreds of thousands of small sites, MongoDB rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Google Cloud Bigtable: 2–200 employees
- 38%
- MongoDB: 2–200 employees
- 59%
- Google Cloud Bigtable: 1,000+ employees
- 31%
- MongoDB: 1,000+ employees
- 20%
- Postings per company, 90 days
- 3.5 · 3.0
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Google Cloud Bigtable | share | MongoDB | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 2% | 52 | 1% | even |
| 2-10 employees | 5 | 5% | 415 | 10% | MongoDB |
| 11-50 employees | 11 | 10% | 1,094 | 26% | MongoDB |
| 51-200 employees | 25 | 23% | 1,004 | 24% | even |
| 201-500 employees | 16 | 15% | 520 | 12% | Google Cloud Bigtable |
| 501-1000 employees | 16 | 15% | 319 | 7% | Google Cloud Bigtable |
| 1001-5000 employees | 15 | 14% | 438 | 10% | Google Cloud Bigtable |
| 5001-10000 employees | 5 | 5% | 121 | 3% | even |
| 10,001+ employees | 14 | 13% | 309 | 7% | Google Cloud Bigtable |
| Segment | Google Cloud Bigtable | share | MongoDB | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 66 | 61% | 2,626 | 61% | even |
| Business & finance services | 22 | 20% | 766 | 18% | Google Cloud Bigtable |
| Manufacturing & industry | 6 | 6% | 219 | 5% | even |
| Public, community & associations | 4 | 4% | 67 | 2% | Google Cloud Bigtable |
| Consumer services & leisure | 4 | 4% | 119 | 3% | even |
| Commerce & trade | 2 | 2% | 70 | 2% | even |
| Media & content | 2 | 2% | 139 | 3% | even |
| Automotive | 1 | 1% | 32 | 1% | even |
| Health care | 1 | 1% | 40 | 1% | even |
| Utilities & infrastructure | 1 | 1% | 77 | 2% | even |
| Transport, logistics & rental | – | – | 43 | 1% | outside top 12 |
| Property & construction | – | – | 39 | 1% | outside top 12 |
| Segment | Google Cloud Bigtable | share | MongoDB | share | Leans |
|---|---|---|---|---|---|
| United States | 83 | 76% | 2,301 | 54% | Google Cloud Bigtable |
| United Kingdom | 5 | 5% | 290 | 7% | MongoDB |
| Canada | 4 | 4% | 93 | 2% | even |
| Spain | 3 | 3% | 50 | 1% | even |
| France | 3 | 3% | 154 | 4% | even |
| Australia | 2 | 2% | 55 | 1% | even |
| Germany | 2 | 2% | 188 | 4% | MongoDB |
| Poland | 2 | 2% | 52 | 1% | even |
| Singapore | 2 | 2% | – | – | outside top 12 |
| Colombia | 1 | 1% | – | – | outside top 12 |
| Estonia | 1 | 1% | – | – | outside top 12 |
| India | 1 | 1% | 355 | 8% | MongoDB |
| Italy | – | – | 75 | 2% | outside top 12 |
| Brazil | – | – | 54 | 1% | outside top 12 |
| Netherlands | – | – | 46 | 1% | outside top 12 |
| Segment | Google Cloud Bigtable | share | MongoDB | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 253 | 50% | 12,640 | 67% | MongoDB |
| Data & AI | 121 | 24% | 1,924 | 10% | Google Cloud Bigtable |
| IT operations & business systems | 50 | 10% | 1,619 | 9% | even |
| Product, program & project management | 7 | 1% | 160 | 1% | even |
| Engineering (non-software) | 6 | 1% | 231 | 1% | even |
| Sales | 5 | 1% | 201 | 1% | even |
| Customer service & success | 4 | 1% | 153 | 1% | even |
| Human resources | 2 | 0% | – | – | outside top 12 |
| arts media and entertainment | 1 | 0% | – | – | outside top 12 |
| Education & training | 1 | 0% | – | – | outside top 12 |
| General management & consulting | 1 | 0% | – | – | outside top 12 |
| Unclassified | – | – | 99 | 1% | outside top 12 |
| Marketing & communications | – | – | 46 | 0% | outside top 12 |
| Finance & accounting | – | – | 43 | 0% | outside top 12 |
| Design & UX | – | – | 42 | 0% | outside top 12 |
| Quality, safety & environment | – | – | 36 | 0% | outside top 12 |
The companies behind each column
Companies using Google Cloud Bigtable →
Companies using MongoDB →
nosql document wide column ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
MongoDB is named by 4,272 companies in job postings and Google Cloud Bigtable by 109; 46 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/google-cloud-bigtable-vs-mongodb)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
Google Cloud Bigtable vs MongoDB: questions
Which is more used, Google Cloud Bigtable or MongoDB?
By companies naming it in their own job postings, MongoDB (4,272) over Google Cloud Bigtable (109). By website-and-DNS footprint, MongoDB (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Google Cloud Bigtable?
38% of Google Cloud Bigtable companies have 2 to 200 employees, against 59% for MongoDB. 31% of Google Cloud Bigtable companies have over 1,000 employees, against 20% for MongoDB.
Do companies run both?
46 companies name both in their postings, usually Google Cloud Bigtable in marketing and MongoDB in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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