Apache NiFi VS IBM DataStage
As of 30 October 2026, IBM DataStage is named by 168 companies and Apache NiFi by 273; Apache NiFi skews to companies under 200 people (48% vs 41%), IBM DataStage to companies over 1,000 (41% vs 30%).
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: Apache NiFi's script and mail records show on hundreds of thousands of small sites, IBM DataStage rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache NiFi: 2–200 employees
- 48%
- IBM DataStage: 2–200 employees
- 41%
- Apache NiFi: 1,000+ employees
- 30%
- IBM DataStage: 1,000+ employees
- 41%
- Postings per company, 90 days
- 3.8 · 5.3
- 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 | Apache NiFi | share | IBM DataStage | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 1% | – | – | outside top 12 |
| 2-10 employees | 16 | 6% | 11 | 7% | even |
| 11-50 employees | 45 | 16% | 27 | 16% | even |
| 51-200 employees | 70 | 26% | 31 | 18% | Apache NiFi |
| 201-500 employees | 34 | 12% | 15 | 9% | Apache NiFi |
| 501-1000 employees | 24 | 9% | 15 | 9% | even |
| 1001-5000 employees | 38 | 14% | 27 | 16% | IBM DataStage |
| 5001-10000 employees | 7 | 3% | 10 | 6% | IBM DataStage |
| 10,001+ employees | 36 | 13% | 32 | 19% | IBM DataStage |
| Segment | Apache NiFi | share | IBM DataStage | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 161 | 59% | 101 | 60% | even |
| Business & finance services | 53 | 19% | 38 | 23% | IBM DataStage |
| Manufacturing & industry | 28 | 10% | 6 | 4% | Apache NiFi |
| Public, community & associations | 12 | 4% | 2 | 1% | Apache NiFi |
| Utilities & infrastructure | 6 | 2% | – | – | outside top 12 |
| Consumer services & leisure | 4 | 1% | 4 | 2% | even |
| Commerce & trade | 3 | 1% | 3 | 2% | even |
| Property & construction | 2 | 1% | 1 | 1% | even |
| Automotive | 1 | 0% | 3 | 2% | even |
| Health care | 1 | 0% | 4 | 2% | IBM DataStage |
| Media & content | 1 | 0% | 2 | 1% | even |
| Transport, logistics & rental | 1 | 0% | – | – | outside top 12 |
| Hospitality & travel | – | – | 2 | 1% | outside top 12 |
| Agriculture & forestry | – | – | 1 | 1% | outside top 12 |
| Segment | Apache NiFi | share | IBM DataStage | share | Leans |
|---|---|---|---|---|---|
| United States | 180 | 66% | 103 | 61% | Apache NiFi |
| United Kingdom | 13 | 5% | – | – | outside top 12 |
| France | 11 | 4% | 13 | 8% | IBM DataStage |
| India | 10 | 4% | 7 | 4% | even |
| Germany | 9 | 3% | 3 | 2% | even |
| Canada | 5 | 2% | 4 | 2% | even |
| Poland | 5 | 2% | 3 | 2% | even |
| Czechia | 4 | 1% | – | – | outside top 12 |
| Singapore | 4 | 1% | – | – | outside top 12 |
| Belgium | 3 | 1% | – | – | outside top 12 |
| Romania | 3 | 1% | – | – | outside top 12 |
| United Arab Emirates | 2 | 1% | – | – | outside top 12 |
| Italy | – | – | 6 | 4% | outside top 12 |
| Australia | – | – | 3 | 2% | outside top 12 |
| Spain | – | – | 3 | 2% | outside top 12 |
| Portugal | – | – | 3 | 2% | outside top 12 |
| Bulgaria | – | – | 2 | 1% | outside top 12 |
| Denmark | – | – | 2 | 1% | outside top 12 |
| Segment | Apache NiFi | share | IBM DataStage | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 676 | 48% | 696 | 48% | even |
| Software engineering | 444 | 31% | 333 | 23% | Apache NiFi |
| IT operations & business systems | 106 | 7% | 167 | 12% | IBM DataStage |
| Engineering (non-software) | 40 | 3% | 9 | 1% | Apache NiFi |
| Sales | 14 | 1% | 7 | 0% | even |
| Product, program & project management | 12 | 1% | 45 | 3% | IBM DataStage |
| General management & consulting | 5 | 0% | 2 | 0% | even |
| Customer service & success | 4 | 0% | – | – | outside top 12 |
| Business development & strategy | 3 | 0% | – | – | outside top 12 |
| Public safety and protective services | 2 | 0% | – | – | outside top 12 |
| Human resources | 1 | 0% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 8 | 1% | outside top 12 |
| Finance & accounting | – | – | 4 | 0% | outside top 12 |
| Unclassified | – | – | 3 | 0% | outside top 12 |
| Manufacturing and production | – | – | 2 | 0% | outside top 12 |
| Skilled trades and field service | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using Apache NiFi →
Companies using IBM DataStage →
etl elt transformation ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
IBM DataStage is named by 168 companies in job postings and Apache NiFi by 273; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-nifi-vs-ibm-datastage)
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.
Apache NiFi vs IBM DataStage: questions
Which is more used, Apache NiFi or IBM DataStage?
By companies naming it in their own job postings, Apache NiFi (273) over IBM DataStage (168). By website-and-DNS footprint, IBM DataStage (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache NiFi?
48% of Apache NiFi companies have 2 to 200 employees, against 41% for IBM DataStage. 30% of Apache NiFi companies have over 1,000 employees, against 41% for IBM DataStage.
Do companies run both?
0 companies name both in their postings, usually Apache NiFi in marketing and IBM DataStage 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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