SAP Datasphere VS Teradata
As of 30 October 2026, Teradata is named by 225 companies and SAP Datasphere by 219; SAP Datasphere skews to companies under 200 people (19% vs 38%), Teradata to companies over 1,000 (44% vs 64%).
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: SAP Datasphere's script and mail records show on hundreds of thousands of small sites, Teradata rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- SAP Datasphere: 2–200 employees
- 19%
- Teradata: 2–200 employees
- 38%
- SAP Datasphere: 1,000+ employees
- 64%
- Teradata: 1,000+ employees
- 44%
- Postings per company, 90 days
- 4.0 · 4.2
- 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 | SAP Datasphere | share | Teradata | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 0% | 2 | 1% | even |
| 2-10 employees | 10 | 5% | 17 | 8% | Teradata |
| 11-50 employees | 12 | 5% | 37 | 16% | Teradata |
| 51-200 employees | 19 | 9% | 32 | 14% | Teradata |
| 201-500 employees | 9 | 4% | 26 | 12% | Teradata |
| 501-1000 employees | 27 | 12% | 13 | 6% | SAP Datasphere |
| 1001-5000 employees | 52 | 24% | 30 | 13% | SAP Datasphere |
| 5001-10000 employees | 19 | 9% | 11 | 5% | SAP Datasphere |
| 10,001+ employees | 70 | 32% | 57 | 25% | SAP Datasphere |
| Segment | SAP Datasphere | share | Teradata | share | Leans |
|---|---|---|---|---|---|
| Manufacturing & industry | 91 | 42% | 6 | 3% | SAP Datasphere |
| Technology & software | 42 | 19% | 125 | 56% | Teradata |
| Business & finance services | 22 | 10% | 55 | 24% | Teradata |
| Commerce & trade | 15 | 7% | 8 | 4% | SAP Datasphere |
| Utilities & infrastructure | 13 | 6% | 6 | 3% | SAP Datasphere |
| Automotive | 8 | 4% | 3 | 1% | SAP Datasphere |
| Property & construction | 7 | 3% | – | – | outside top 12 |
| Public, community & associations | 4 | 2% | 2 | 1% | even |
| Health care | 4 | 2% | 2 | 1% | even |
| Transport, logistics & rental | 4 | 2% | 2 | 1% | even |
| Consumer services & leisure | 3 | 1% | 4 | 2% | even |
| Media & content | 3 | 1% | 6 | 3% | even |
| Hospitality & travel | – | – | 5 | 2% | outside top 12 |
| Segment | SAP Datasphere | share | Teradata | share | Leans |
|---|---|---|---|---|---|
| United States | 85 | 39% | 146 | 65% | Teradata |
| Germany | 57 | 26% | 4 | 2% | SAP Datasphere |
| United Kingdom | 14 | 6% | 16 | 7% | even |
| France | 7 | 3% | 7 | 3% | even |
| Switzerland | 6 | 3% | – | – | outside top 12 |
| Belgium | 5 | 2% | – | – | outside top 12 |
| India | 5 | 2% | 7 | 3% | even |
| Austria | 4 | 2% | – | – | outside top 12 |
| Netherlands | 4 | 2% | 3 | 1% | even |
| Brazil | 3 | 1% | – | – | outside top 12 |
| Canada | 3 | 1% | 5 | 2% | even |
| Denmark | 3 | 1% | – | – | outside top 12 |
| Australia | – | – | 6 | 3% | outside top 12 |
| Singapore | – | – | 5 | 2% | outside top 12 |
| Spain | – | – | 4 | 2% | outside top 12 |
| Poland | – | – | 4 | 2% | outside top 12 |
| Czechia | – | – | 2 | 1% | outside top 12 |
| Segment | SAP Datasphere | share | Teradata | share | Leans |
|---|---|---|---|---|---|
| IT operations & business systems | 504 | 47% | 201 | 11% | SAP Datasphere |
| Data & AI | 269 | 25% | 956 | 51% | Teradata |
| Software engineering | 55 | 5% | 218 | 12% | Teradata |
| Product, program & project management | 29 | 3% | 35 | 2% | even |
| Finance & accounting | 15 | 1% | 19 | 1% | even |
| Unclassified | 15 | 1% | 4 | 0% | even |
| Sales | 7 | 1% | 47 | 2% | even |
| General management & consulting | 5 | 0% | 15 | 1% | even |
| Construction and civil | 2 | 0% | – | – | outside top 12 |
| Engineering (non-software) | 2 | 0% | 5 | 0% | even |
| Logistics warehouse and transport | 2 | 0% | – | – | outside top 12 |
| Skilled trades and field service | 2 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | – | – | 15 | 1% | outside top 12 |
| Marketing & communications | – | – | 14 | 1% | outside top 12 |
| Human resources | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using SAP Datasphere →
Companies using Teradata →
data warehouses olap ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Teradata is named by 225 companies in job postings and SAP Datasphere by 219; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/sap-datasphere-vs-teradata)
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.
SAP Datasphere vs Teradata: questions
Which is more used, SAP Datasphere or Teradata?
By companies naming it in their own job postings, Teradata (225) over SAP Datasphere (219). By website-and-DNS footprint, Teradata (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses SAP Datasphere?
19% of SAP Datasphere companies have 2 to 200 employees, against 38% for Teradata. 64% of SAP Datasphere companies have over 1,000 employees, against 44% for Teradata.
Do companies run both?
0 companies name both in their postings, usually SAP Datasphere in marketing and Teradata 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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