Salesforce Data Loader VS Talend
As of 30 October 2026, Talend is named by 412 companies and Salesforce Data Loader by 183; Salesforce Data Loader skews to companies under 200 people (31% vs 38%), Talend to companies over 1,000 (36% vs 37%).
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: Salesforce Data Loader's script and mail records show on hundreds of thousands of small sites, Talend rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Salesforce Data Loader: 2–200 employees
- 31%
- Talend: 2–200 employees
- 38%
- Salesforce Data Loader: 1,000+ employees
- 37%
- Talend: 1,000+ employees
- 36%
- Postings per company, 90 days
- 1.9 · 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 | Salesforce Data Loader | share | Talend | share | Leans |
|---|---|---|---|---|---|
| 2-10 employees | 3 | 2% | 24 | 6% | Talend |
| 11-50 employees | 22 | 12% | 52 | 13% | even |
| 51-200 employees | 31 | 17% | 80 | 19% | Talend |
| 201-500 employees | 36 | 20% | 59 | 14% | Salesforce Data Loader |
| 501-1000 employees | 24 | 13% | 42 | 10% | Salesforce Data Loader |
| 1001-5000 employees | 29 | 16% | 76 | 18% | Talend |
| 5001-10000 employees | 16 | 9% | 23 | 6% | Salesforce Data Loader |
| 10,001+ employees | 22 | 12% | 51 | 12% | even |
| Self-employed | – | – | 5 | 1% | outside top 12 |
| Segment | Salesforce Data Loader | share | Talend | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 89 | 49% | 213 | 52% | Talend |
| Business & finance services | 31 | 17% | 94 | 23% | Talend |
| Manufacturing & industry | 18 | 10% | 29 | 7% | Salesforce Data Loader |
| Public, community & associations | 10 | 5% | 7 | 2% | Salesforce Data Loader |
| Consumer services & leisure | 8 | 4% | 8 | 2% | Salesforce Data Loader |
| Health care | 5 | 3% | 10 | 2% | even |
| Utilities & infrastructure | 5 | 3% | 10 | 2% | even |
| Automotive | 4 | 2% | 6 | 1% | even |
| Commerce & trade | 4 | 2% | 17 | 4% | even |
| Transport, logistics & rental | 3 | 2% | – | – | outside top 12 |
| Media & content | 2 | 1% | 4 | 1% | even |
| Property & construction | 2 | 1% | 5 | 1% | even |
| Hospitality & travel | – | – | 6 | 1% | outside top 12 |
| Segment | Salesforce Data Loader | share | Talend | share | Leans |
|---|---|---|---|---|---|
| United States | 129 | 70% | 202 | 49% | Salesforce Data Loader |
| United Kingdom | 13 | 7% | 32 | 8% | even |
| India | 12 | 7% | 10 | 2% | Salesforce Data Loader |
| Australia | 4 | 2% | 4 | 1% | even |
| Canada | 4 | 2% | 12 | 3% | even |
| Brazil | 2 | 1% | – | – | outside top 12 |
| Germany | 2 | 1% | 19 | 5% | Talend |
| 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 |
| France | – | – | 66 | 16% | outside top 12 |
| Italy | – | – | 7 | 2% | outside top 12 |
| Portugal | – | – | 6 | 1% | outside top 12 |
| Singapore | – | – | 6 | 1% | outside top 12 |
| Poland | – | – | 5 | 1% | outside top 12 |
| Czechia | – | – | 4 | 1% | outside top 12 |
| Segment | Salesforce Data Loader | share | Talend | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 354 | 50% | 342 | 20% | Salesforce Data Loader |
| IT operations & business systems | 221 | 31% | 195 | 11% | Salesforce Data Loader |
| Data & AI | 36 | 5% | 818 | 47% | Talend |
| Sales | 14 | 2% | 19 | 1% | even |
| Marketing & communications | 4 | 1% | 4 | 0% | even |
| Engineering (non-software) | 3 | 0% | 17 | 1% | even |
| Human resources | 3 | 0% | – | – | outside top 12 |
| Product, program & project management | 3 | 0% | 40 | 2% | even |
| General management & consulting | 2 | 0% | 16 | 1% | even |
| Administration & office | 1 | 0% | – | – | outside top 12 |
| Business development & strategy | 1 | 0% | 1 | 0% | even |
| Construction and civil | 1 | 0% | – | – | outside top 12 |
| Unclassified | – | – | 7 | 0% | outside top 12 |
| Legal, compliance & risk | – | – | 4 | 0% | outside top 12 |
| Customer service & success | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Salesforce Data Loader →
Companies using Talend →
etl elt transformation ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Talend is named by 412 companies in job postings and Salesforce Data Loader by 183; 20 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/salesforce-data-loader-vs-talend)
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.
Salesforce Data Loader vs Talend: questions
Which is more used, Salesforce Data Loader or Talend?
By companies naming it in their own job postings, Talend (412) over Salesforce Data Loader (183). By website-and-DNS footprint, Talend (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Salesforce Data Loader?
31% of Salesforce Data Loader companies have 2 to 200 employees, against 38% for Talend. 37% of Salesforce Data Loader companies have over 1,000 employees, against 36% for Talend.
Do companies run both?
20 companies name both in their postings, usually Salesforce Data Loader in marketing and Talend 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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