IBM DataStage VS SAP Data Services
As of 30 October 2026, SAP Data Services is named by 263 companies and IBM DataStage by 168; IBM DataStage skews to companies under 200 people (41% vs 31%), SAP Data Services to companies over 1,000 (44% vs 41%).
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: IBM DataStage's script and mail records show on hundreds of thousands of small sites, SAP Data Services rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- IBM DataStage: 2–200 employees
- 41%
- SAP Data Services: 2–200 employees
- 31%
- IBM DataStage: 1,000+ employees
- 41%
- SAP Data Services: 1,000+ employees
- 44%
- Postings per company, 90 days
- 5.3 · 3.2
- 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 | IBM DataStage | share | SAP Data Services | share | Leans |
|---|---|---|---|---|---|
| 2-10 employees | 11 | 7% | 8 | 3% | IBM DataStage |
| 11-50 employees | 27 | 16% | 32 | 12% | IBM DataStage |
| 51-200 employees | 31 | 18% | 42 | 16% | IBM DataStage |
| 201-500 employees | 15 | 9% | 43 | 16% | SAP Data Services |
| 501-1000 employees | 15 | 9% | 21 | 8% | even |
| 1001-5000 employees | 27 | 16% | 54 | 21% | SAP Data Services |
| 5001-10000 employees | 10 | 6% | 13 | 5% | even |
| 10,001+ employees | 32 | 19% | 48 | 18% | even |
| Self-employed | – | – | 2 | 1% | outside top 12 |
| Segment | IBM DataStage | share | SAP Data Services | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 101 | 60% | 118 | 45% | IBM DataStage |
| Business & finance services | 38 | 23% | 49 | 19% | IBM DataStage |
| Manufacturing & industry | 6 | 4% | 40 | 15% | SAP Data Services |
| Consumer services & leisure | 4 | 2% | 5 | 2% | even |
| Health care | 4 | 2% | 4 | 2% | even |
| Automotive | 3 | 2% | 6 | 2% | even |
| Commerce & trade | 3 | 2% | 16 | 6% | SAP Data Services |
| Public, community & associations | 2 | 1% | – | – | outside top 12 |
| Hospitality & travel | 2 | 1% | 1 | 0% | even |
| Media & content | 2 | 1% | 4 | 2% | even |
| Agriculture & forestry | 1 | 1% | – | – | outside top 12 |
| Property & construction | 1 | 1% | 2 | 1% | even |
| Utilities & infrastructure | – | – | 14 | 5% | outside top 12 |
| Transport, logistics & rental | – | – | 4 | 2% | outside top 12 |
| Segment | IBM DataStage | share | SAP Data Services | share | Leans |
|---|---|---|---|---|---|
| United States | 103 | 61% | 159 | 60% | even |
| France | 13 | 8% | 6 | 2% | IBM DataStage |
| India | 7 | 4% | 13 | 5% | even |
| Italy | 6 | 4% | 3 | 1% | IBM DataStage |
| Canada | 4 | 2% | 8 | 3% | even |
| Australia | 3 | 2% | 6 | 2% | even |
| Germany | 3 | 2% | 13 | 5% | SAP Data Services |
| Spain | 3 | 2% | – | – | outside top 12 |
| Poland | 3 | 2% | – | – | outside top 12 |
| Portugal | 3 | 2% | – | – | outside top 12 |
| Bulgaria | 2 | 1% | 2 | 1% | even |
| Denmark | 2 | 1% | – | – | outside top 12 |
| United Kingdom | – | – | 29 | 11% | outside top 12 |
| Belgium | – | – | 5 | 2% | outside top 12 |
| Ireland | – | – | 4 | 2% | outside top 12 |
| Netherlands | – | – | 3 | 1% | outside top 12 |
| Segment | IBM DataStage | share | SAP Data Services | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 696 | 48% | 381 | 32% | IBM DataStage |
| Software engineering | 333 | 23% | 146 | 12% | IBM DataStage |
| IT operations & business systems | 167 | 12% | 422 | 36% | SAP Data Services |
| Product, program & project management | 45 | 3% | 15 | 1% | even |
| Engineering (non-software) | 9 | 1% | 8 | 1% | even |
| Logistics warehouse and transport | 8 | 1% | – | – | outside top 12 |
| Sales | 7 | 0% | 14 | 1% | even |
| Finance & accounting | 4 | 0% | 2 | 0% | even |
| Unclassified | 3 | 0% | – | – | outside top 12 |
| General management & consulting | 2 | 0% | 28 | 2% | SAP Data Services |
| Manufacturing and production | 2 | 0% | – | – | outside top 12 |
| Skilled trades and field service | 2 | 0% | – | – | outside top 12 |
| Business development & strategy | – | – | 4 | 0% | outside top 12 |
| Research and science | – | – | 2 | 0% | outside top 12 |
| Customer service & success | – | – | 1 | 0% | outside top 12 |
| Legal, compliance & risk | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using IBM DataStage →
Companies using SAP Data Services →
etl elt transformation ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SAP Data Services is named by 263 companies in job postings and IBM DataStage by 168; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/ibm-datastage-vs-sap-data-services)
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.
IBM DataStage vs SAP Data Services: questions
Which is more used, IBM DataStage or SAP Data Services?
By companies naming it in their own job postings, SAP Data Services (263) over IBM DataStage (168). By website-and-DNS footprint, SAP Data Services (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses IBM DataStage?
41% of IBM DataStage companies have 2 to 200 employees, against 31% for SAP Data Services. 41% of IBM DataStage companies have over 1,000 employees, against 44% for SAP Data Services.
Do companies run both?
0 companies name both in their postings, usually IBM DataStage in marketing and SAP Data Services 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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