Fivetran VS Salesforce Data Loader
As of 30 October 2026, Salesforce Data Loader is named by 183 companies and Fivetran by 478; Fivetran skews to companies under 200 people (42% vs 31%), Salesforce Data Loader to companies over 1,000 (37% vs 31%).
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: Fivetran's script and mail records show on hundreds of thousands of small sites, Salesforce Data Loader rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Fivetran: 2–200 employees
- 42%
- Salesforce Data Loader: 2–200 employees
- 31%
- Fivetran: 1,000+ employees
- 31%
- Salesforce Data Loader: 1,000+ employees
- 37%
- Postings per company, 90 days
- 1.9 · 1.9
- 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 | Fivetran | share | Salesforce Data Loader | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 0% | – | – | outside top 12 |
| 2-10 employees | 38 | 8% | 3 | 2% | Fivetran |
| 11-50 employees | 61 | 13% | 22 | 12% | even |
| 51-200 employees | 104 | 22% | 31 | 17% | Fivetran |
| 201-500 employees | 66 | 14% | 36 | 20% | Salesforce Data Loader |
| 501-1000 employees | 59 | 12% | 24 | 13% | even |
| 1001-5000 employees | 92 | 19% | 29 | 16% | Fivetran |
| 5001-10000 employees | 20 | 4% | 16 | 9% | Salesforce Data Loader |
| 10,001+ employees | 36 | 8% | 22 | 12% | Salesforce Data Loader |
| Segment | Fivetran | share | Salesforce Data Loader | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 225 | 47% | 89 | 49% | even |
| Business & finance services | 104 | 22% | 31 | 17% | Fivetran |
| Manufacturing & industry | 36 | 8% | 18 | 10% | Salesforce Data Loader |
| Commerce & trade | 21 | 4% | 4 | 2% | Fivetran |
| Property & construction | 14 | 3% | 2 | 1% | even |
| Consumer services & leisure | 13 | 3% | 8 | 4% | even |
| Media & content | 13 | 3% | 2 | 1% | even |
| Health care | 12 | 3% | 5 | 3% | even |
| Hospitality & travel | 10 | 2% | – | – | outside top 12 |
| Utilities & infrastructure | 10 | 2% | 5 | 3% | even |
| Public, community & associations | 9 | 2% | 10 | 5% | Salesforce Data Loader |
| Automotive | 5 | 1% | 4 | 2% | even |
| Transport, logistics & rental | – | – | 3 | 2% | outside top 12 |
| Segment | Fivetran | share | Salesforce Data Loader | share | Leans |
|---|---|---|---|---|---|
| United States | 355 | 74% | 129 | 70% | Fivetran |
| United Kingdom | 41 | 9% | 13 | 7% | even |
| France | 13 | 3% | – | – | outside top 12 |
| Germany | 8 | 2% | 2 | 1% | even |
| Australia | 7 | 1% | 4 | 2% | even |
| Canada | 6 | 1% | 4 | 2% | even |
| India | 6 | 1% | 12 | 7% | Salesforce Data Loader |
| Sweden | 4 | 1% | – | – | outside top 12 |
| Belgium | 3 | 1% | – | – | outside top 12 |
| Ireland | 3 | 1% | – | – | outside top 12 |
| Netherlands | 3 | 1% | – | – | outside top 12 |
| Singapore | 3 | 1% | – | – | outside top 12 |
| Brazil | – | – | 2 | 1% | outside top 12 |
| United Arab Emirates | – | – | 1 | 1% | outside top 12 |
| AF | – | – | 1 | 1% | outside top 12 |
| Austria | – | – | 1 | 1% | outside top 12 |
| Switzerland | – | – | 1 | 1% | outside top 12 |
| Colombia | – | – | 1 | 1% | outside top 12 |
| Segment | Fivetran | share | Salesforce Data Loader | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 833 | 68% | 36 | 5% | Fivetran |
| Software engineering | 101 | 8% | 354 | 50% | Salesforce Data Loader |
| Sales | 58 | 5% | 14 | 2% | Fivetran |
| IT operations & business systems | 52 | 4% | 221 | 31% | Salesforce Data Loader |
| Product, program & project management | 25 | 2% | 3 | 0% | even |
| Marketing & communications | 22 | 2% | 4 | 1% | even |
| Business development & strategy | 13 | 1% | 1 | 0% | even |
| Customer service & success | 11 | 1% | – | – | outside top 12 |
| Finance & accounting | 8 | 1% | – | – | outside top 12 |
| Engineering (non-software) | 5 | 0% | 3 | 0% | even |
| General management & consulting | 4 | 0% | 2 | 0% | even |
| Arts media and entertainment | 2 | 0% | – | – | outside top 12 |
| Human resources | – | – | 3 | 0% | outside top 12 |
| Administration & office | – | – | 1 | 0% | outside top 12 |
| Construction and civil | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Fivetran →
Companies using Salesforce Data Loader →
etl elt transformation ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Salesforce Data Loader is named by 183 companies in job postings and Fivetran by 478; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/fivetran-vs-salesforce-data-loader)
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.
Fivetran vs Salesforce Data Loader: questions
Which is more used, Fivetran or Salesforce Data Loader?
By companies naming it in their own job postings, Fivetran (478) over Salesforce Data Loader (183). By website-and-DNS footprint, Salesforce Data Loader (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Fivetran?
42% of Fivetran companies have 2 to 200 employees, against 31% for Salesforce Data Loader. 31% of Fivetran companies have over 1,000 employees, against 37% for Salesforce Data Loader.
Do companies run both?
0 companies name both in their postings, usually Fivetran in marketing and Salesforce Data Loader 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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