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Compare · relational databases

Microsoft SQL Server VS PostgreSQL_

As of 4 November 2026, PostgreSQL is named by 12,519 companies and Microsoft SQL Server by 9,342; Microsoft SQL Server skews to companies under 200 people (43% vs 59%), PostgreSQL to companies over 1,000 (17% vs 30%).

As of 4 November 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: Microsoft SQL Server's script and mail records show on hundreds of thousands of small sites, PostgreSQL rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

Microsoft SQL Server: 2–200 employees
43%
PostgreSQL: 2–200 employees
59%
Microsoft SQL Server: 1,000+ employees
30%
PostgreSQL: 1,000+ employees
17%
Postings per company, 90 days
3.2 · 3.0
Website or DNS footprint
0 · 0
9,342companies name Microsoft SQL Server
12,519companies name PostgreSQL
3,397name both
29,555 · 37,204postings in 90 days, Microsoft SQL Server · PostgreSQL
02 — Side by side

Who chooses which

Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.

By company size
SegmentMicrosoft SQL ServersharePostgreSQLshareLeans
Self-employed1572%6875%PostgreSQL
2-10 employees6066%1,82915%PostgreSQL
11-50 employees1,47816%2,85523%PostgreSQL
51-200 employees1,95921%2,73122%even
201-500 employees1,40915%1,47012%Microsoft SQL Server
501-1000 employees96110%8597%Microsoft SQL Server
1001-5000 employees1,44815%1,1119%Microsoft SQL Server
5001-10000 employees4245%2942%Microsoft SQL Server
10,001+ employees90010%6835%Microsoft SQL Server
By industry
SegmentMicrosoft SQL ServersharePostgreSQLshareLeans
Technology & software4,12844%7,14757%PostgreSQL
Business & finance services1,99421%2,36819%Microsoft SQL Server
Manufacturing & industry1,02211%7126%Microsoft SQL Server
Commerce & trade3213%2922%even
Consumer services & leisure2903%3403%even
Utilities & infrastructure2703%2592%even
Public, community & associations2683%2882%even
Health care2473%1661%even
Property & construction2012%1691%even
Media & content1982%4163%even
Transport, logistics & rental1862%1541%even
Automotive1412%1021%even
By country
SegmentMicrosoft SQL ServersharePostgreSQLshareLeans
United States4,89152%6,71454%even
Germany6507%7906%even
United Kingdom5596%7826%even
India3854%5274%even
Canada2833%2792%even
France2633%4333%even
Italy1662%1701%even
Australia1462%1541%even
Netherlands1432%1691%even
Brazil1412%1912%even
Poland1271%1851%even
Spain1041%1221%even
Postings by team (share of each tool's postings)
SegmentMicrosoft SQL ServersharePostgreSQLshareLeans
Software engineering20,01946%31,91363%PostgreSQL
IT operations & business systems9,55422%5,39211%Microsoft SQL Server
Data & AI5,28512%5,77011%even
Engineering (non-software)8862%7852%even
Product, program & project management6301%4401%even
Customer service & success5801%3381%even
Sales2571%2761%even
Finance & accounting2491%930%even
Unclassified1960%1390%even
General management & consulting1250%590%even
Quality, safety & environment1210%920%even
Legal, compliance & risk980%470%even
Marketing & communications920%800%even
skilled trades and field service830%70%even
Design & UX660%440%even
Education & training400%370%even
Administration & office360%220%even
construction and civil360%360%even
logistics warehouse and transport280%140%even
research and science220%520%even
arts media and entertainment180%230%even
Business development & strategy160%210%even
Human resources160%130%even
public safety and protective services140%30%even
manufacturing and production80%40%even
procurement and purchasing80%50%even
hospitality and food service60%10%even
social care and community60%––outside top 12
agriculture and environment40%20%even
facilities cleaning and security40%50%even
healthcare clinical––10%outside top 12
Go deeper

The companies behind each column

Companies using Microsoft SQL Server →
Companies using PostgreSQL →
relational databases ranked →

Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

PostgreSQL is named by 12,519 companies in job postings and Microsoft SQL Server by 9,342; 3,397 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/microsoft-sql-server-vs-postgresql)
How we know

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.
FAQ

Microsoft SQL Server vs PostgreSQL: questions

Which is more used, Microsoft SQL Server or PostgreSQL?

By companies naming it in their own job postings, PostgreSQL (12,519) over Microsoft SQL Server (9,342). By website-and-DNS footprint, PostgreSQL (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses Microsoft SQL Server?

43% of Microsoft SQL Server companies have 2 to 200 employees, against 59% for PostgreSQL. 30% of Microsoft SQL Server companies have over 1,000 employees, against 17% for PostgreSQL.

Do companies run both?

3,397 companies name both in their postings, usually Microsoft SQL Server in marketing and PostgreSQL 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.

Companies and people

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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.

SearchCompany searchFilter on what a company actually does→SearchPeople searchDecision makers, normalized and verified→MCP and APICompanies over MCP and APICount, search and export from your agent→DatasetCompany and People datasetThe whole market in your warehouse→DataCoverage by countryCheck your market before you start→SearchLocal businessesThe same database, by category and city→

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