Databricks SQL VS Teradata
As of 30 October 2026, Teradata is named by 225 companies and Databricks SQL by 121; Databricks SQL skews to companies under 200 people (29% vs 38%), Teradata to companies over 1,000 (44% vs 43%).
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: Databricks SQL'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.
- Databricks SQL: 2–200 employees
- 29%
- Teradata: 2–200 employees
- 38%
- Databricks SQL: 1,000+ employees
- 43%
- Teradata: 1,000+ employees
- 44%
- Postings per company, 90 days
- 2.6 · 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 | Databricks SQL | share | Teradata | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 2% | 2 | 1% | even |
| 2-10 employees | 3 | 2% | 17 | 8% | Teradata |
| 11-50 employees | 9 | 7% | 37 | 16% | Teradata |
| 51-200 employees | 23 | 19% | 32 | 14% | Databricks SQL |
| 201-500 employees | 20 | 17% | 26 | 12% | Databricks SQL |
| 501-1000 employees | 12 | 10% | 13 | 6% | Databricks SQL |
| 1001-5000 employees | 22 | 18% | 30 | 13% | Databricks SQL |
| 5001-10000 employees | 7 | 6% | 11 | 5% | even |
| 10,001+ employees | 23 | 19% | 57 | 25% | Teradata |
| Segment | Databricks SQL | share | Teradata | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 48 | 40% | 125 | 56% | Teradata |
| Business & finance services | 38 | 31% | 55 | 24% | Databricks SQL |
| Manufacturing & industry | 11 | 9% | 6 | 3% | Databricks SQL |
| Consumer services & leisure | 4 | 3% | 4 | 2% | even |
| Health care | 4 | 3% | 2 | 1% | Databricks SQL |
| Commerce & trade | 3 | 2% | 8 | 4% | even |
| Public, community & associations | 3 | 2% | 2 | 1% | even |
| Utilities & infrastructure | 3 | 2% | 6 | 3% | even |
| Hospitality & travel | 2 | 2% | 5 | 2% | even |
| Media & content | 2 | 2% | 6 | 3% | even |
| Transport, logistics & rental | 2 | 2% | 2 | 1% | even |
| Property & construction | 1 | 1% | – | – | outside top 12 |
| Automotive | – | – | 3 | 1% | outside top 12 |
| Segment | Databricks SQL | share | Teradata | share | Leans |
|---|---|---|---|---|---|
| United States | 84 | 69% | 146 | 65% | Databricks SQL |
| Canada | 6 | 5% | 5 | 2% | Databricks SQL |
| United Kingdom | 4 | 3% | 16 | 7% | Teradata |
| Australia | 3 | 2% | 6 | 3% | even |
| United Arab Emirates | 2 | 2% | – | – | outside top 12 |
| Switzerland | 2 | 2% | – | – | outside top 12 |
| Germany | 2 | 2% | 4 | 2% | even |
| France | 2 | 2% | 7 | 3% | even |
| India | 2 | 2% | 7 | 3% | even |
| Belgium | 1 | 1% | – | – | outside top 12 |
| Brazil | 1 | 1% | – | – | outside top 12 |
| Spain | 1 | 1% | 4 | 2% | even |
| Singapore | – | – | 5 | 2% | outside top 12 |
| Poland | – | – | 4 | 2% | outside top 12 |
| Netherlands | – | – | 3 | 1% | outside top 12 |
| Czechia | – | – | 2 | 1% | outside top 12 |
| Segment | Databricks SQL | share | Teradata | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 284 | 77% | 956 | 51% | Databricks SQL |
| Software engineering | 20 | 5% | 218 | 12% | Teradata |
| Product, program & project management | 19 | 5% | 35 | 2% | Databricks SQL |
| IT operations & business systems | 12 | 3% | 201 | 11% | Teradata |
| Construction and civil | 2 | 1% | – | – | outside top 12 |
| Marketing & communications | 2 | 1% | 14 | 1% | even |
| Engineering (non-software) | 1 | 0% | 5 | 0% | even |
| Finance & accounting | 1 | 0% | 19 | 1% | even |
| Human resources | 1 | 0% | 3 | 0% | even |
| Sales | 1 | 0% | 47 | 2% | Teradata |
| General management & consulting | – | – | 15 | 1% | outside top 12 |
| Legal, compliance & risk | – | – | 15 | 1% | outside top 12 |
| Unclassified | – | – | 4 | 0% | outside top 12 |
The companies behind each column
Companies using Databricks SQL →
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 Databricks SQL by 121; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/databricks-sql-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.
Databricks SQL vs Teradata: questions
Which is more used, Databricks SQL or Teradata?
By companies naming it in their own job postings, Teradata (225) over Databricks SQL (121). By website-and-DNS footprint, Teradata (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Databricks SQL?
29% of Databricks SQL companies have 2 to 200 employees, against 38% for Teradata. 43% of Databricks SQL companies have over 1,000 employees, against 44% for Teradata.
Do companies run both?
0 companies name both in their postings, usually Databricks SQL 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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