Azure Cosmos DB VS Google Cloud Bigtable
As of 30 October 2026, Google Cloud Bigtable is named by 109 companies and Azure Cosmos DB by 617; Azure Cosmos DB skews to companies under 200 people (34% vs 38%), Google Cloud Bigtable to companies over 1,000 (31% vs 44%).
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: Azure Cosmos DB's script and mail records show on hundreds of thousands of small sites, Google Cloud Bigtable rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Cosmos DB: 2–200 employees
- 34%
- Google Cloud Bigtable: 2–200 employees
- 38%
- Azure Cosmos DB: 1,000+ employees
- 44%
- Google Cloud Bigtable: 1,000+ employees
- 31%
- Postings per company, 90 days
- 3.5 · 3.5
- 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 | Azure Cosmos DB | share | Google Cloud Bigtable | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 11 | 2% | 2 | 2% | even |
| 2-10 employees | 35 | 6% | 5 | 5% | even |
| 11-50 employees | 75 | 12% | 11 | 10% | Azure Cosmos DB |
| 51-200 employees | 102 | 17% | 25 | 23% | Google Cloud Bigtable |
| 201-500 employees | 79 | 13% | 16 | 15% | even |
| 501-1000 employees | 46 | 7% | 16 | 15% | Google Cloud Bigtable |
| 1001-5000 employees | 107 | 17% | 15 | 14% | Azure Cosmos DB |
| 5001-10000 employees | 41 | 7% | 5 | 5% | Azure Cosmos DB |
| 10,001+ employees | 121 | 20% | 14 | 13% | Azure Cosmos DB |
| Segment | Azure Cosmos DB | share | Google Cloud Bigtable | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 304 | 49% | 66 | 61% | Google Cloud Bigtable |
| Business & finance services | 127 | 21% | 22 | 20% | even |
| Manufacturing & industry | 58 | 9% | 6 | 6% | Azure Cosmos DB |
| Health care | 23 | 4% | 1 | 1% | Azure Cosmos DB |
| Commerce & trade | 22 | 4% | 2 | 2% | even |
| Consumer services & leisure | 16 | 3% | 4 | 4% | even |
| Public, community & associations | 15 | 2% | 4 | 4% | even |
| Transport, logistics & rental | 14 | 2% | – | – | outside top 12 |
| Utilities & infrastructure | 10 | 2% | 1 | 1% | even |
| Media & content | 8 | 1% | 2 | 2% | even |
| Property & construction | 8 | 1% | – | – | outside top 12 |
| Automotive | 6 | 1% | 1 | 1% | even |
| Segment | Azure Cosmos DB | share | Google Cloud Bigtable | share | Leans |
|---|---|---|---|---|---|
| United States | 353 | 57% | 83 | 76% | Google Cloud Bigtable |
| United Kingdom | 68 | 11% | 5 | 5% | Azure Cosmos DB |
| Germany | 30 | 5% | 2 | 2% | Azure Cosmos DB |
| India | 21 | 3% | 1 | 1% | Azure Cosmos DB |
| Canada | 20 | 3% | 4 | 4% | even |
| France | 17 | 3% | 3 | 3% | even |
| Australia | 10 | 2% | 2 | 2% | even |
| Sweden | 10 | 2% | – | – | outside top 12 |
| Netherlands | 7 | 1% | – | – | outside top 12 |
| Singapore | 7 | 1% | 2 | 2% | even |
| Belgium | 6 | 1% | – | – | outside top 12 |
| Switzerland | 6 | 1% | – | – | outside top 12 |
| Spain | – | – | 3 | 3% | outside top 12 |
| Poland | – | – | 2 | 2% | outside top 12 |
| Colombia | – | – | 1 | 1% | outside top 12 |
| Estonia | – | – | 1 | 1% | outside top 12 |
| Segment | Azure Cosmos DB | share | Google Cloud Bigtable | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 1,335 | 45% | 253 | 50% | Google Cloud Bigtable |
| Data & AI | 585 | 20% | 121 | 24% | Google Cloud Bigtable |
| IT operations & business systems | 258 | 9% | 50 | 10% | even |
| Engineering (non-software) | 129 | 4% | 6 | 1% | Azure Cosmos DB |
| Product, program & project management | 46 | 2% | 7 | 1% | even |
| Sales | 45 | 2% | 5 | 1% | even |
| Quality, safety & environment | 21 | 1% | – | – | outside top 12 |
| Customer service & success | 12 | 0% | 4 | 1% | even |
| Design & UX | 9 | 0% | – | – | outside top 12 |
| Research and science | 7 | 0% | – | – | outside top 12 |
| Business development & strategy | 6 | 0% | – | – | outside top 12 |
| Finance & accounting | 5 | 0% | – | – | outside top 12 |
| 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 |
The companies behind each column
Companies using Azure Cosmos DB →
Companies using Google Cloud Bigtable →
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.
Google Cloud Bigtable is named by 109 companies in job postings and Azure Cosmos DB by 617; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-cosmos-db-vs-google-cloud-bigtable)
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.
Azure Cosmos DB vs Google Cloud Bigtable: questions
Which is more used, Azure Cosmos DB or Google Cloud Bigtable?
By companies naming it in their own job postings, Azure Cosmos DB (617) over Google Cloud Bigtable (109). By website-and-DNS footprint, Google Cloud Bigtable (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Cosmos DB?
34% of Azure Cosmos DB companies have 2 to 200 employees, against 38% for Google Cloud Bigtable. 44% of Azure Cosmos DB companies have over 1,000 employees, against 31% for Google Cloud Bigtable.
Do companies run both?
0 companies name both in their postings, usually Azure Cosmos DB in marketing and Google Cloud Bigtable 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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