Databricks SQL VS SAP BW/4HANA
As of 30 October 2026, SAP BW/4HANA is named by 149 companies and Databricks SQL by 121; Databricks SQL skews to companies under 200 people (29% vs 20%), SAP BW/4HANA to companies over 1,000 (58% 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, SAP BW/4HANA 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%
- SAP BW/4HANA: 2–200 employees
- 20%
- Databricks SQL: 1,000+ employees
- 43%
- SAP BW/4HANA: 1,000+ employees
- 58%
- Postings per company, 90 days
- 2.6 · 3.9
- 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 | SAP BW/4HANA | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 2% | – | – | outside top 12 |
| 2-10 employees | 3 | 2% | 5 | 3% | even |
| 11-50 employees | 9 | 7% | 10 | 7% | even |
| 51-200 employees | 23 | 19% | 15 | 10% | Databricks SQL |
| 201-500 employees | 20 | 17% | 15 | 10% | Databricks SQL |
| 501-1000 employees | 12 | 10% | 18 | 12% | SAP BW/4HANA |
| 1001-5000 employees | 22 | 18% | 27 | 18% | even |
| 5001-10000 employees | 7 | 6% | 16 | 11% | SAP BW/4HANA |
| 10,001+ employees | 23 | 19% | 43 | 29% | SAP BW/4HANA |
| Segment | Databricks SQL | share | SAP BW/4HANA | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 48 | 40% | 44 | 30% | Databricks SQL |
| Business & finance services | 38 | 31% | 16 | 11% | Databricks SQL |
| Manufacturing & industry | 11 | 9% | 54 | 36% | SAP BW/4HANA |
| Consumer services & leisure | 4 | 3% | 1 | 1% | Databricks SQL |
| Health care | 4 | 3% | 1 | 1% | Databricks SQL |
| Commerce & trade | 3 | 2% | 11 | 7% | SAP BW/4HANA |
| Public, community & associations | 3 | 2% | – | – | outside top 12 |
| Utilities & infrastructure | 3 | 2% | 7 | 5% | SAP BW/4HANA |
| Hospitality & travel | 2 | 2% | – | – | outside top 12 |
| Media & content | 2 | 2% | 3 | 2% | even |
| Transport, logistics & rental | 2 | 2% | 3 | 2% | even |
| Property & construction | 1 | 1% | 4 | 3% | even |
| Automotive | – | – | 4 | 3% | outside top 12 |
| Agriculture & forestry | – | – | 1 | 1% | outside top 12 |
| Segment | Databricks SQL | share | SAP BW/4HANA | share | Leans |
|---|---|---|---|---|---|
| United States | 84 | 69% | 55 | 37% | Databricks SQL |
| Canada | 6 | 5% | – | – | outside top 12 |
| United Kingdom | 4 | 3% | 10 | 7% | SAP BW/4HANA |
| Australia | 3 | 2% | – | – | outside top 12 |
| United Arab Emirates | 2 | 2% | – | – | outside top 12 |
| Switzerland | 2 | 2% | 4 | 3% | even |
| Germany | 2 | 2% | 42 | 28% | SAP BW/4HANA |
| France | 2 | 2% | 2 | 1% | even |
| India | 2 | 2% | 2 | 1% | even |
| Belgium | 1 | 1% | 4 | 3% | even |
| Brazil | 1 | 1% | 2 | 1% | even |
| Spain | 1 | 1% | – | – | outside top 12 |
| Denmark | – | – | 3 | 2% | outside top 12 |
| Netherlands | – | – | 3 | 2% | outside top 12 |
| Austria | – | – | 2 | 1% | outside top 12 |
| Hungary | – | – | 2 | 1% | outside top 12 |
| Segment | Databricks SQL | share | SAP BW/4HANA | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 284 | 77% | 112 | 15% | Databricks SQL |
| Software engineering | 20 | 5% | 43 | 6% | even |
| Product, program & project management | 19 | 5% | 7 | 1% | Databricks SQL |
| IT operations & business systems | 12 | 3% | 455 | 62% | SAP BW/4HANA |
| Construction and civil | 2 | 1% | – | – | outside top 12 |
| Marketing & communications | 2 | 1% | 1 | 0% | even |
| Engineering (non-software) | 1 | 0% | 2 | 0% | even |
| Finance & accounting | 1 | 0% | 12 | 2% | even |
| Human resources | 1 | 0% | – | – | outside top 12 |
| Sales | 1 | 0% | 2 | 0% | even |
| General management & consulting | – | – | 3 | 0% | outside top 12 |
| Unclassified | – | – | 2 | 0% | outside top 12 |
| Customer service & success | – | – | 1 | 0% | outside top 12 |
| Logistics warehouse and transport | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Databricks SQL →
Companies using SAP BW/4HANA →
data warehouses olap ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SAP BW/4HANA is named by 149 companies in job postings and Databricks SQL by 121; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/databricks-sql-vs-sap-bw4hana)
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 SAP BW/4HANA: questions
Which is more used, Databricks SQL or SAP BW/4HANA?
By companies naming it in their own job postings, SAP BW/4HANA (149) over Databricks SQL (121). By website-and-DNS footprint, SAP BW/4HANA (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 20% for SAP BW/4HANA. 43% of Databricks SQL companies have over 1,000 employees, against 58% for SAP BW/4HANA.
Do companies run both?
0 companies name both in their postings, usually Databricks SQL in marketing and SAP BW/4HANA 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.
Get either list your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
Every company on either tool,
with the person who owns it
Filter on Databricks SQL or SAP BW/4HANA. Start free, no card.