AWS Elastic Load Balancing VS F5_
As of 4 November 2026, F5 is named by 590 companies and AWS Elastic Load Balancing by 216; AWS Elastic Load Balancing skews to companies under 200 people (47% vs 31%), F5 to companies over 1,000 (48% vs 34%).
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: AWS Elastic Load Balancing's script and mail records show on hundreds of thousands of small sites, F5 rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- AWS Elastic Load Balancing: 2–200 employees
- 47%
- F5: 2–200 employees
- 31%
- AWS Elastic Load Balancing: 1,000+ employees
- 34%
- F5: 1,000+ employees
- 48%
- Postings per company, 90 days
- 2.2 · 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 | AWS Elastic Load Balancing | share | F5 | share | Leans |
|---|---|---|---|---|---|
| 2-10 employees | 5 | 2% | 31 | 5% | F5 |
| 11-50 employees | 40 | 19% | 45 | 8% | AWS Elastic Load Balancing |
| 51-200 employees | 56 | 26% | 105 | 18% | AWS Elastic Load Balancing |
| 201-500 employees | 24 | 11% | 66 | 11% | even |
| 501-1000 employees | 17 | 8% | 48 | 8% | even |
| 1001-5000 employees | 36 | 17% | 114 | 19% | F5 |
| 5001-10000 employees | 16 | 7% | 40 | 7% | even |
| 10,001+ employees | 22 | 10% | 130 | 22% | F5 |
| Self-employed | – | – | 11 | 2% | outside top 12 |
| Segment | AWS Elastic Load Balancing | share | F5 | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 124 | 57% | 278 | 47% | AWS Elastic Load Balancing |
| Business & finance services | 49 | 23% | 136 | 23% | even |
| Manufacturing & industry | 11 | 5% | 36 | 6% | even |
| Consumer services & leisure | 9 | 4% | 13 | 2% | even |
| Public, community & associations | 5 | 2% | 16 | 3% | even |
| Media & content | 5 | 2% | 21 | 4% | even |
| Utilities & infrastructure | 4 | 2% | 34 | 6% | F5 |
| Transport, logistics & rental | 3 | 1% | 11 | 2% | even |
| Health care | 2 | 1% | 10 | 2% | even |
| Property & construction | 2 | 1% | 10 | 2% | even |
| Automotive | 1 | 0% | 5 | 1% | even |
| Commerce & trade | 1 | 0% | 17 | 3% | F5 |
| Segment | AWS Elastic Load Balancing | share | F5 | share | Leans |
|---|---|---|---|---|---|
| United States | 144 | 67% | 323 | 55% | AWS Elastic Load Balancing |
| United Kingdom | 15 | 7% | 51 | 9% | even |
| India | 15 | 7% | 12 | 2% | AWS Elastic Load Balancing |
| Singapore | 6 | 3% | 6 | 1% | even |
| Australia | 3 | 1% | 7 | 1% | even |
| Germany | 3 | 1% | 11 | 2% | even |
| France | 3 | 1% | 35 | 6% | F5 |
| Japan | 3 | 1% | – | – | outside top 12 |
| Canada | 2 | 1% | 16 | 3% | even |
| Ireland | 2 | 1% | – | – | outside top 12 |
| South Africa | 2 | 1% | – | – | outside top 12 |
| Argentina | 1 | 0% | – | – | outside top 12 |
| Belgium | – | – | 10 | 2% | outside top 12 |
| Brazil | – | – | 8 | 1% | outside top 12 |
| Italy | – | – | 6 | 1% | outside top 12 |
| Netherlands | – | – | 6 | 1% | outside top 12 |
| Segment | AWS Elastic Load Balancing | share | F5 | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 340 | 52% | 150 | 6% | AWS Elastic Load Balancing |
| IT operations & business systems | 183 | 28% | 1,733 | 73% | F5 |
| Product, program & project management | 25 | 4% | 35 | 1% | AWS Elastic Load Balancing |
| Data & AI | 17 | 3% | 7 | 0% | AWS Elastic Load Balancing |
| Engineering (non-software) | 11 | 2% | 39 | 2% | even |
| Customer service & success | 4 | 1% | 24 | 1% | even |
| Education & training | 3 | 0% | – | – | outside top 12 |
| Unclassified | 3 | 0% | 2 | 0% | even |
| arts media and entertainment | 2 | 0% | 1 | 0% | even |
| Human resources | 2 | 0% | 1 | 0% | even |
| Sales | 2 | 0% | 111 | 5% | F5 |
| Administration & office | 1 | 0% | 1 | 0% | even |
| construction and civil | 1 | 0% | 1 | 0% | even |
| Finance & accounting | 1 | 0% | 3 | 0% | even |
| General management & consulting | 1 | 0% | 9 | 0% | even |
| Marketing & communications | 1 | 0% | 5 | 0% | even |
| Quality, safety & environment | 1 | 0% | 2 | 0% | even |
| facilities cleaning and security | – | – | 2 | 0% | outside top 12 |
| skilled trades and field service | – | – | 2 | 0% | outside top 12 |
| Business development & strategy | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using AWS Elastic Load Balancing →
Companies using F5 →
load balancers adc ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
F5 is named by 590 companies in job postings and AWS Elastic Load Balancing by 216; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/aws-elastic-load-balancing-vs-f5)
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.
AWS Elastic Load Balancing vs F5: questions
Which is more used, AWS Elastic Load Balancing or F5?
By companies naming it in their own job postings, F5 (590) over AWS Elastic Load Balancing (216). By website-and-DNS footprint, F5 (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses AWS Elastic Load Balancing?
47% of AWS Elastic Load Balancing companies have 2 to 200 employees, against 31% for F5. 34% of AWS Elastic Load Balancing companies have over 1,000 employees, against 48% for F5.
Do companies run both?
0 companies name both in their postings, usually AWS Elastic Load Balancing in marketing and F5 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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