Cloud Firestore VS Google Cloud Bigtable
As of 30 October 2026, Google Cloud Bigtable is named by 109 companies and Cloud Firestore by 171; Cloud Firestore skews to companies under 200 people (67% vs 38%), Google Cloud Bigtable to companies over 1,000 (31% vs 16%).
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: Cloud Firestore'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.
- Cloud Firestore: 2–200 employees
- 67%
- Google Cloud Bigtable: 2–200 employees
- 38%
- Cloud Firestore: 1,000+ employees
- 16%
- Google Cloud Bigtable: 1,000+ employees
- 31%
- Postings per company, 90 days
- 1.8 · 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 | Cloud Firestore | share | Google Cloud Bigtable | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 2% | 2 | 2% | even |
| 2-10 employees | 20 | 12% | 5 | 5% | Cloud Firestore |
| 11-50 employees | 56 | 33% | 11 | 10% | Cloud Firestore |
| 51-200 employees | 38 | 22% | 25 | 23% | even |
| 201-500 employees | 18 | 11% | 16 | 15% | Google Cloud Bigtable |
| 501-1000 employees | 8 | 5% | 16 | 15% | Google Cloud Bigtable |
| 1001-5000 employees | 15 | 9% | 15 | 14% | Google Cloud Bigtable |
| 5001-10000 employees | 4 | 2% | 5 | 5% | Google Cloud Bigtable |
| 10,001+ employees | 9 | 5% | 14 | 13% | Google Cloud Bigtable |
| Segment | Cloud Firestore | share | Google Cloud Bigtable | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 107 | 63% | 66 | 61% | Cloud Firestore |
| Business & finance services | 23 | 13% | 22 | 20% | Google Cloud Bigtable |
| Manufacturing & industry | 10 | 6% | 6 | 6% | even |
| Media & content | 8 | 5% | 2 | 2% | Cloud Firestore |
| Commerce & trade | 5 | 3% | 2 | 2% | even |
| Consumer services & leisure | 4 | 2% | 4 | 4% | even |
| Public, community & associations | 3 | 2% | 4 | 4% | even |
| Transport, logistics & rental | 3 | 2% | – | – | outside top 12 |
| Utilities & infrastructure | 3 | 2% | 1 | 1% | even |
| Health care | 2 | 1% | 1 | 1% | even |
| Property & construction | 2 | 1% | – | – | outside top 12 |
| Hospitality & travel | 1 | 1% | – | – | outside top 12 |
| Automotive | – | – | 1 | 1% | outside top 12 |
| Segment | Cloud Firestore | share | Google Cloud Bigtable | share | Leans |
|---|---|---|---|---|---|
| United States | 90 | 53% | 83 | 76% | Google Cloud Bigtable |
| India | 19 | 11% | 1 | 1% | Cloud Firestore |
| Germany | 14 | 8% | 2 | 2% | Cloud Firestore |
| United Kingdom | 10 | 6% | 5 | 5% | even |
| United Arab Emirates | 5 | 3% | – | – | outside top 12 |
| Spain | 4 | 2% | 3 | 3% | even |
| Japan | 4 | 2% | – | – | outside top 12 |
| Brazil | 3 | 2% | – | – | outside top 12 |
| Netherlands | 3 | 2% | – | – | outside top 12 |
| Singapore | 3 | 2% | 2 | 2% | even |
| Türkiye | 3 | 2% | – | – | outside top 12 |
| Australia | 2 | 1% | 2 | 2% | even |
| Canada | – | – | 4 | 4% | outside top 12 |
| France | – | – | 3 | 3% | outside top 12 |
| Poland | – | – | 2 | 2% | outside top 12 |
| Colombia | – | – | 1 | 1% | outside top 12 |
| Estonia | – | – | 1 | 1% | outside top 12 |
| Segment | Cloud Firestore | share | Google Cloud Bigtable | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 295 | 63% | 253 | 50% | Cloud Firestore |
| Data & AI | 85 | 18% | 121 | 24% | Google Cloud Bigtable |
| IT operations & business systems | 19 | 4% | 50 | 10% | Google Cloud Bigtable |
| Engineering (non-software) | 4 | 1% | 6 | 1% | even |
| Marketing & communications | 4 | 1% | – | – | outside top 12 |
| Product, program & project management | 3 | 1% | 7 | 1% | even |
| General management & consulting | 2 | 0% | 1 | 0% | even |
| Sales | 2 | 0% | 5 | 1% | even |
| Business development & strategy | 1 | 0% | – | – | outside top 12 |
| Customer service & success | 1 | 0% | 4 | 1% | even |
| Design & UX | 1 | 0% | – | – | outside top 12 |
| Hospitality and food service | 1 | 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 |
The companies behind each column
Companies using Cloud Firestore →
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 Cloud Firestore by 171; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/firestore-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.
Cloud Firestore vs Google Cloud Bigtable: questions
Which is more used, Cloud Firestore or Google Cloud Bigtable?
By companies naming it in their own job postings, Cloud Firestore (171) 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 Cloud Firestore?
67% of Cloud Firestore companies have 2 to 200 employees, against 38% for Google Cloud Bigtable. 16% of Cloud Firestore companies have over 1,000 employees, against 31% for Google Cloud Bigtable.
Do companies run both?
0 companies name both in their postings, usually Cloud Firestore 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.
Get either list your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
Every company on either tool,
with the person who owns it
Filter on Cloud Firestore or Google Cloud Bigtable. Start free, no card.