Google Cloud SQL VS IBM Db2
As of 30 October 2026, IBM Db2 is named by 767 companies and Google Cloud SQL by 315; Google Cloud SQL skews to companies under 200 people (43% vs 37%), IBM Db2 to companies over 1,000 (40% vs 34%).
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 SQL's script and mail records show on hundreds of thousands of small sites, IBM Db2 rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Google Cloud SQL: 2–200 employees
- 43%
- IBM Db2: 2–200 employees
- 37%
- Google Cloud SQL: 1,000+ employees
- 34%
- IBM Db2: 1,000+ employees
- 40%
- Postings per company, 90 days
- 2.2 · 4.4
- 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 SQL | share | IBM Db2 | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 6 | 2% | 7 | 1% | even |
| 2-10 employees | 21 | 7% | 47 | 6% | even |
| 11-50 employees | 42 | 13% | 113 | 15% | even |
| 51-200 employees | 72 | 23% | 127 | 17% | Google Cloud SQL |
| 201-500 employees | 37 | 12% | 95 | 12% | even |
| 501-1000 employees | 30 | 10% | 73 | 10% | even |
| 1001-5000 employees | 43 | 14% | 123 | 16% | IBM Db2 |
| 5001-10000 employees | 18 | 6% | 49 | 6% | even |
| 10,001+ employees | 46 | 15% | 133 | 17% | IBM Db2 |
| Segment | Google Cloud SQL | share | IBM Db2 | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 179 | 57% | 408 | 53% | Google Cloud SQL |
| Business & finance services | 68 | 22% | 195 | 25% | IBM Db2 |
| Commerce & trade | 14 | 4% | 25 | 3% | even |
| Manufacturing & industry | 11 | 3% | 32 | 4% | even |
| Media & content | 7 | 2% | 19 | 2% | even |
| Transport, logistics & rental | 7 | 2% | 15 | 2% | even |
| Consumer services & leisure | 6 | 2% | 12 | 2% | even |
| Health care | 6 | 2% | 13 | 2% | even |
| Hospitality & travel | 5 | 2% | – | – | outside top 12 |
| Public, community & associations | 4 | 1% | 12 | 2% | even |
| Utilities & infrastructure | 3 | 1% | 12 | 2% | even |
| Automotive | 2 | 1% | 13 | 2% | even |
| Property & construction | – | – | 8 | 1% | outside top 12 |
| Segment | Google Cloud SQL | share | IBM Db2 | share | Leans |
|---|---|---|---|---|---|
| United States | 208 | 66% | 435 | 57% | Google Cloud SQL |
| United Kingdom | 17 | 5% | 39 | 5% | even |
| Canada | 11 | 3% | 30 | 4% | even |
| Germany | 11 | 3% | 53 | 7% | IBM Db2 |
| France | 10 | 3% | 37 | 5% | even |
| India | 10 | 3% | 29 | 4% | even |
| Poland | 6 | 2% | – | – | outside top 12 |
| Singapore | 6 | 2% | 8 | 1% | even |
| Australia | 5 | 2% | 9 | 1% | even |
| Italy | 5 | 2% | 17 | 2% | even |
| Spain | 4 | 1% | 12 | 2% | even |
| Japan | 4 | 1% | – | – | outside top 12 |
| Switzerland | – | – | 8 | 1% | outside top 12 |
| Brazil | – | – | 7 | 1% | outside top 12 |
| Segment | Google Cloud SQL | share | IBM Db2 | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 364 | 39% | 2,378 | 42% | IBM Db2 |
| IT operations & business systems | 226 | 25% | 1,207 | 21% | Google Cloud SQL |
| Data & AI | 202 | 22% | 824 | 15% | Google Cloud SQL |
| Product, program & project management | 7 | 1% | 80 | 1% | even |
| Sales | 6 | 1% | 26 | 0% | even |
| Construction and civil | 3 | 0% | – | – | outside top 12 |
| Customer service & success | 3 | 0% | 33 | 1% | even |
| Engineering (non-software) | 3 | 0% | 59 | 1% | even |
| Business development & strategy | 1 | 0% | – | – | outside top 12 |
| General management & consulting | – | – | 38 | 1% | outside top 12 |
| Finance & accounting | – | – | 19 | 0% | outside top 12 |
| Unclassified | – | – | 19 | 0% | outside top 12 |
| Logistics warehouse and transport | – | – | 14 | 0% | outside top 12 |
| Quality, safety & environment | – | – | 10 | 0% | outside top 12 |
The companies behind each column
Companies using Google Cloud SQL →
Companies using IBM Db2 →
relational databases ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
IBM Db2 is named by 767 companies in job postings and Google Cloud SQL by 315; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/google-cloud-sql-vs-ibm-db2)
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 SQL vs IBM Db2: questions
Which is more used, Google Cloud SQL or IBM Db2?
By companies naming it in their own job postings, IBM Db2 (767) over Google Cloud SQL (315). By website-and-DNS footprint, IBM Db2 (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Google Cloud SQL?
43% of Google Cloud SQL companies have 2 to 200 employees, against 37% for IBM Db2. 34% of Google Cloud SQL companies have over 1,000 employees, against 40% for IBM Db2.
Do companies run both?
0 companies name both in their postings, usually Google Cloud SQL in marketing and IBM Db2 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 Google Cloud SQL or IBM Db2. Start free, no card.