Phoenix VS Spring Data
As of 30 October 2026, Spring Data is named by 184 companies and Phoenix by 166; Phoenix skews to companies under 200 people (45% vs 43%), Spring Data to companies over 1,000 (33% vs 35%).
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: Phoenix's script and mail records show on hundreds of thousands of small sites, Spring Data rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Phoenix: 2–200 employees
- 45%
- Spring Data: 2–200 employees
- 43%
- Phoenix: 1,000+ employees
- 35%
- Spring Data: 1,000+ employees
- 33%
- Postings per company, 90 days
- 2.3 · 2.8
- 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 | Phoenix | share | Spring Data | share | Leans |
|---|---|---|---|---|---|
| 2-10 employees | 10 | 6% | 12 | 7% | even |
| 11-50 employees | 34 | 20% | 25 | 14% | Phoenix |
| 51-200 employees | 31 | 19% | 42 | 23% | Spring Data |
| 201-500 employees | 21 | 13% | 21 | 11% | even |
| 501-1000 employees | 12 | 7% | 20 | 11% | Spring Data |
| 1001-5000 employees | 32 | 19% | 28 | 15% | Phoenix |
| 5001-10000 employees | 6 | 4% | 10 | 5% | even |
| 10,001+ employees | 20 | 12% | 23 | 13% | even |
| Self-employed | – | – | 3 | 2% | outside top 12 |
| Segment | Phoenix | share | Spring Data | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 70 | 42% | 114 | 62% | Spring Data |
| Manufacturing & industry | 36 | 22% | 9 | 5% | Phoenix |
| Business & finance services | 21 | 13% | 32 | 17% | Spring Data |
| Consumer services & leisure | 8 | 5% | 6 | 3% | even |
| Health care | 8 | 5% | 1 | 1% | Phoenix |
| Media & content | 6 | 4% | 5 | 3% | even |
| Property & construction | 6 | 4% | – | – | outside top 12 |
| Utilities & infrastructure | 4 | 2% | 4 | 2% | even |
| Commerce & trade | 3 | 2% | – | – | outside top 12 |
| Public, community & associations | 3 | 2% | 3 | 2% | even |
| Automotive | 1 | 1% | 2 | 1% | even |
| Transport, logistics & rental | – | – | 5 | 3% | outside top 12 |
| Hospitality & travel | – | – | 3 | 2% | outside top 12 |
| Segment | Phoenix | share | Spring Data | share | Leans |
|---|---|---|---|---|---|
| United States | 113 | 68% | 84 | 46% | Phoenix |
| Germany | 14 | 8% | 13 | 7% | even |
| Canada | 5 | 3% | 3 | 2% | even |
| United Kingdom | 5 | 3% | 9 | 5% | even |
| Brazil | 3 | 2% | 5 | 3% | even |
| Switzerland | 3 | 2% | – | – | outside top 12 |
| Netherlands | 3 | 2% | – | – | outside top 12 |
| Belgium | 2 | 1% | 4 | 2% | even |
| France | 2 | 1% | 10 | 5% | Spring Data |
| India | 2 | 1% | 9 | 5% | Spring Data |
| Romania | 2 | 1% | – | – | outside top 12 |
| Saudi Arabia | 2 | 1% | – | – | outside top 12 |
| Spain | – | – | 6 | 3% | outside top 12 |
| Italy | – | – | 6 | 3% | outside top 12 |
| Poland | – | – | 5 | 3% | outside top 12 |
| United Arab Emirates | – | – | 3 | 2% | outside top 12 |
| Segment | Phoenix | share | Spring Data | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 220 | 39% | 715 | 93% | Spring Data |
| Data & AI | 60 | 11% | 5 | 1% | Phoenix |
| Engineering (non-software) | 43 | 8% | 2 | 0% | Phoenix |
| IT operations & business systems | 35 | 6% | 9 | 1% | Phoenix |
| Product, program & project management | 17 | 3% | 1 | 0% | Phoenix |
| Research and science | 17 | 3% | – | – | outside top 12 |
| Construction and civil | 15 | 3% | – | – | outside top 12 |
| Hospitality and food service | 14 | 2% | – | – | outside top 12 |
| Healthcare clinical | 11 | 2% | – | – | outside top 12 |
| Skilled trades and field service | 8 | 1% | – | – | outside top 12 |
| Finance & accounting | 7 | 1% | – | – | outside top 12 |
| Business development & strategy | 6 | 1% | – | – | 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 Phoenix →
Companies using Spring Data →
backend frameworks ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Spring Data is named by 184 companies in job postings and Phoenix by 166; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/phoenix-framework-vs-spring-data)
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.
Phoenix vs Spring Data: questions
Which is more used, Phoenix or Spring Data?
By companies naming it in their own job postings, Spring Data (184) over Phoenix (166). By website-and-DNS footprint, Spring Data (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Phoenix?
45% of Phoenix companies have 2 to 200 employees, against 43% for Spring Data. 35% of Phoenix companies have over 1,000 employees, against 33% for Spring Data.
Do companies run both?
0 companies name both in their postings, usually Phoenix in marketing and Spring Data 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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with the person who owns it
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