Amazon Redshift VS Databricks SQL
As of 30 October 2026, Databricks SQL is named by 121 companies and Amazon Redshift by 1,665; Amazon Redshift skews to companies under 200 people (46% vs 29%), Databricks SQL to companies over 1,000 (43% vs 29%).
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: Amazon Redshift's script and mail records show on hundreds of thousands of small sites, Databricks SQL rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Amazon Redshift: 2–200 employees
- 46%
- Databricks SQL: 2–200 employees
- 29%
- Amazon Redshift: 1,000+ employees
- 29%
- Databricks SQL: 1,000+ employees
- 43%
- Postings per company, 90 days
- 2.5 · 2.6
- 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 | Amazon Redshift | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 15 | 1% | 2 | 2% | even |
| 2-10 employees | 113 | 7% | 3 | 2% | Amazon Redshift |
| 11-50 employees | 238 | 14% | 9 | 7% | Amazon Redshift |
| 51-200 employees | 422 | 25% | 23 | 19% | Amazon Redshift |
| 201-500 employees | 236 | 14% | 20 | 17% | Databricks SQL |
| 501-1000 employees | 160 | 10% | 12 | 10% | even |
| 1001-5000 employees | 252 | 15% | 22 | 18% | Databricks SQL |
| 5001-10000 employees | 69 | 4% | 7 | 6% | even |
| 10,001+ employees | 160 | 10% | 23 | 19% | Databricks SQL |
| Segment | Amazon Redshift | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 870 | 52% | 48 | 40% | Amazon Redshift |
| Business & finance services | 345 | 21% | 38 | 31% | Databricks SQL |
| Manufacturing & industry | 106 | 6% | 11 | 9% | Databricks SQL |
| Media & content | 98 | 6% | 2 | 2% | Amazon Redshift |
| Consumer services & leisure | 47 | 3% | 4 | 3% | even |
| Utilities & infrastructure | 44 | 3% | 3 | 2% | even |
| Commerce & trade | 34 | 2% | 3 | 2% | even |
| Health care | 28 | 2% | 4 | 3% | even |
| Public, community & associations | 26 | 2% | 3 | 2% | even |
| Property & construction | 21 | 1% | 1 | 1% | even |
| Transport, logistics & rental | 18 | 1% | 2 | 2% | even |
| Hospitality & travel | 15 | 1% | 2 | 2% | even |
| Segment | Amazon Redshift | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| United States | 1,163 | 70% | 84 | 69% | even |
| United Kingdom | 120 | 7% | 4 | 3% | Amazon Redshift |
| India | 51 | 3% | 2 | 2% | even |
| Canada | 38 | 2% | 6 | 5% | Databricks SQL |
| Germany | 38 | 2% | 2 | 2% | even |
| France | 34 | 2% | 2 | 2% | even |
| Australia | 22 | 1% | 3 | 2% | even |
| Singapore | 15 | 1% | – | – | outside top 12 |
| Brazil | 14 | 1% | 1 | 1% | even |
| Japan | 13 | 1% | – | – | outside top 12 |
| Poland | 11 | 1% | – | – | outside top 12 |
| Spain | 10 | 1% | 1 | 1% | even |
| United Arab Emirates | – | – | 2 | 2% | outside top 12 |
| Switzerland | – | – | 2 | 2% | outside top 12 |
| Belgium | – | – | 1 | 1% | outside top 12 |
| Segment | Amazon Redshift | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 3,783 | 64% | 284 | 77% | Databricks SQL |
| Software engineering | 776 | 13% | 20 | 5% | Amazon Redshift |
| IT operations & business systems | 326 | 6% | 12 | 3% | Amazon Redshift |
| Product, program & project management | 107 | 2% | 19 | 5% | Databricks SQL |
| Sales | 99 | 2% | 1 | 0% | even |
| Design & UX | 90 | 2% | – | – | outside top 12 |
| Marketing & communications | 48 | 1% | 2 | 1% | even |
| Finance & accounting | 36 | 1% | 1 | 0% | even |
| Engineering (non-software) | 24 | 0% | 1 | 0% | even |
| Customer service & success | 22 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | 14 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | 13 | 0% | – | – | outside top 12 |
| Construction and civil | – | – | 2 | 1% | outside top 12 |
| Human resources | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Amazon Redshift →
Companies using Databricks SQL →
data warehouses olap ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Databricks SQL is named by 121 companies in job postings and Amazon Redshift by 1,665; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/amazon-redshift-vs-databricks-sql)
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.
Amazon Redshift vs Databricks SQL: questions
Which is more used, Amazon Redshift or Databricks SQL?
By companies naming it in their own job postings, Amazon Redshift (1,665) over Databricks SQL (121). By website-and-DNS footprint, Databricks SQL (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Amazon Redshift?
46% of Amazon Redshift companies have 2 to 200 employees, against 29% for Databricks SQL. 29% of Amazon Redshift companies have over 1,000 employees, against 43% for Databricks SQL.
Do companies run both?
0 companies name both in their postings, usually Amazon Redshift in marketing and Databricks SQL 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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