Jakarta Server Faces VS SQLAlchemy
As of 30 October 2026, SQLAlchemy is named by 322 companies and Jakarta Server Faces by 190; Jakarta Server Faces skews to companies under 200 people (58% vs 59%), SQLAlchemy to companies over 1,000 (17% vs 24%).
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: Jakarta Server Faces's script and mail records show on hundreds of thousands of small sites, SQLAlchemy rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Jakarta Server Faces: 2–200 employees
- 58%
- SQLAlchemy: 2–200 employees
- 59%
- Jakarta Server Faces: 1,000+ employees
- 24%
- SQLAlchemy: 1,000+ employees
- 17%
- Postings per company, 90 days
- 1.9 · 1.6
- 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 | Jakarta Server Faces | share | SQLAlchemy | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 1% | 4 | 1% | even |
| 2-10 employees | 10 | 5% | 40 | 12% | SQLAlchemy |
| 11-50 employees | 53 | 28% | 76 | 24% | Jakarta Server Faces |
| 51-200 employees | 47 | 25% | 75 | 23% | even |
| 201-500 employees | 21 | 11% | 47 | 15% | SQLAlchemy |
| 501-1000 employees | 11 | 6% | 25 | 8% | even |
| 1001-5000 employees | 27 | 14% | 29 | 9% | Jakarta Server Faces |
| 5001-10000 employees | 2 | 1% | 9 | 3% | even |
| 10,001+ employees | 17 | 9% | 17 | 5% | Jakarta Server Faces |
| Segment | Jakarta Server Faces | share | SQLAlchemy | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 136 | 72% | 177 | 55% | Jakarta Server Faces |
| Business & finance services | 29 | 15% | 65 | 20% | SQLAlchemy |
| Manufacturing & industry | 6 | 3% | 24 | 7% | SQLAlchemy |
| Consumer services & leisure | 5 | 3% | 9 | 3% | even |
| Media & content | 4 | 2% | 9 | 3% | even |
| Automotive | 2 | 1% | 3 | 1% | even |
| Public, community & associations | 2 | 1% | 3 | 1% | even |
| Property & construction | 2 | 1% | 3 | 1% | even |
| Transport, logistics & rental | 2 | 1% | – | – | outside top 12 |
| Health care | 1 | 1% | 6 | 2% | even |
| Utilities & infrastructure | 1 | 1% | 13 | 4% | SQLAlchemy |
| Commerce & trade | – | – | 7 | 2% | outside top 12 |
| Agriculture & forestry | – | – | 2 | 1% | outside top 12 |
| Segment | Jakarta Server Faces | share | SQLAlchemy | share | Leans |
|---|---|---|---|---|---|
| United States | 72 | 38% | 197 | 61% | SQLAlchemy |
| Germany | 24 | 13% | 10 | 3% | Jakarta Server Faces |
| France | 17 | 9% | 15 | 5% | Jakarta Server Faces |
| United Kingdom | 12 | 6% | 21 | 7% | even |
| India | 9 | 5% | 18 | 6% | even |
| Brazil | 6 | 3% | – | – | outside top 12 |
| Italy | 6 | 3% | – | – | outside top 12 |
| Spain | 5 | 3% | – | – | outside top 12 |
| Portugal | 4 | 2% | – | – | outside top 12 |
| Romania | 4 | 2% | – | – | outside top 12 |
| Australia | 3 | 2% | – | – | outside top 12 |
| Belgium | 3 | 2% | 6 | 2% | even |
| Poland | – | – | 8 | 2% | outside top 12 |
| Canada | – | – | 5 | 2% | outside top 12 |
| Singapore | – | – | 5 | 2% | outside top 12 |
| Netherlands | – | – | 4 | 1% | outside top 12 |
| Switzerland | – | – | 3 | 1% | outside top 12 |
| Denmark | – | – | 3 | 1% | outside top 12 |
| Segment | Jakarta Server Faces | share | SQLAlchemy | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 808 | 85% | 507 | 72% | Jakarta Server Faces |
| IT operations & business systems | 50 | 5% | 11 | 2% | Jakarta Server Faces |
| Product, program & project management | 11 | 1% | 1 | 0% | even |
| Data & AI | 4 | 0% | 113 | 16% | SQLAlchemy |
| Engineering (non-software) | 4 | 0% | 3 | 0% | even |
| Sales | 2 | 0% | 2 | 0% | even |
| Unclassified | 2 | 0% | 2 | 0% | even |
| Education & training | 1 | 0% | 2 | 0% | even |
| Skilled trades and field service | 1 | 0% | – | – | outside top 12 |
| Finance & accounting | – | – | 2 | 0% | outside top 12 |
| Marketing & communications | – | – | 2 | 0% | outside top 12 |
| Construction and civil | – | – | 1 | 0% | outside top 12 |
| Customer service & success | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Jakarta Server Faces →
Companies using SQLAlchemy →
backend frameworks ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SQLAlchemy is named by 322 companies in job postings and Jakarta Server Faces by 190; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/jakarta-server-faces-vs-sqlalchemy)
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.
Jakarta Server Faces vs SQLAlchemy: questions
Which is more used, Jakarta Server Faces or SQLAlchemy?
By companies naming it in their own job postings, SQLAlchemy (322) over Jakarta Server Faces (190). By website-and-DNS footprint, SQLAlchemy (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Jakarta Server Faces?
58% of Jakarta Server Faces companies have 2 to 200 employees, against 59% for SQLAlchemy. 24% of Jakarta Server Faces companies have over 1,000 employees, against 17% for SQLAlchemy.
Do companies run both?
0 companies name both in their postings, usually Jakarta Server Faces in marketing and SQLAlchemy 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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