Azure Synapse Analytics VS SAP BW/4HANA
As of 30 October 2026, SAP BW/4HANA is named by 149 companies and Azure Synapse Analytics by 1,048; Azure Synapse Analytics skews to companies under 200 people (37% vs 20%), SAP BW/4HANA to companies over 1,000 (58% vs 38%).
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: Azure Synapse Analytics'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.
- Azure Synapse Analytics: 2–200 employees
- 37%
- SAP BW/4HANA: 2–200 employees
- 20%
- Azure Synapse Analytics: 1,000+ employees
- 38%
- SAP BW/4HANA: 1,000+ employees
- 58%
- Postings per company, 90 days
- 2.9 · 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 | Azure Synapse Analytics | share | SAP BW/4HANA | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 5 | 0% | – | – | outside top 12 |
| 2-10 employees | 55 | 5% | 5 | 3% | even |
| 11-50 employees | 143 | 14% | 10 | 7% | Azure Synapse Analytics |
| 51-200 employees | 185 | 18% | 15 | 10% | Azure Synapse Analytics |
| 201-500 employees | 146 | 14% | 15 | 10% | Azure Synapse Analytics |
| 501-1000 employees | 118 | 11% | 18 | 12% | even |
| 1001-5000 employees | 186 | 18% | 27 | 18% | even |
| 5001-10000 employees | 60 | 6% | 16 | 11% | SAP BW/4HANA |
| 10,001+ employees | 150 | 14% | 43 | 29% | SAP BW/4HANA |
| Segment | Azure Synapse Analytics | share | SAP BW/4HANA | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 459 | 44% | 44 | 30% | Azure Synapse Analytics |
| Business & finance services | 242 | 23% | 16 | 11% | Azure Synapse Analytics |
| Manufacturing & industry | 110 | 10% | 54 | 36% | SAP BW/4HANA |
| Health care | 41 | 4% | 1 | 1% | Azure Synapse Analytics |
| Utilities & infrastructure | 40 | 4% | 7 | 5% | even |
| Commerce & trade | 27 | 3% | 11 | 7% | SAP BW/4HANA |
| Property & construction | 25 | 2% | 4 | 3% | even |
| Public, community & associations | 20 | 2% | – | – | outside top 12 |
| Transport, logistics & rental | 19 | 2% | 3 | 2% | even |
| Consumer services & leisure | 17 | 2% | 1 | 1% | even |
| Automotive | 16 | 2% | 4 | 3% | even |
| Media & content | 15 | 1% | 3 | 2% | even |
| Agriculture & forestry | – | – | 1 | 1% | outside top 12 |
| Segment | Azure Synapse Analytics | share | SAP BW/4HANA | share | Leans |
|---|---|---|---|---|---|
| United States | 593 | 57% | 55 | 37% | Azure Synapse Analytics |
| United Kingdom | 93 | 9% | 10 | 7% | Azure Synapse Analytics |
| Canada | 46 | 4% | – | – | outside top 12 |
| Germany | 43 | 4% | 42 | 28% | SAP BW/4HANA |
| India | 31 | 3% | 2 | 1% | even |
| Netherlands | 29 | 3% | 3 | 2% | even |
| France | 25 | 2% | 2 | 1% | even |
| Australia | 20 | 2% | – | – | outside top 12 |
| Belgium | 18 | 2% | 4 | 3% | even |
| Poland | 16 | 2% | – | – | outside top 12 |
| Switzerland | 11 | 1% | 4 | 3% | even |
| United Arab Emirates | 10 | 1% | – | – | outside top 12 |
| Denmark | – | – | 3 | 2% | outside top 12 |
| Austria | – | – | 2 | 1% | outside top 12 |
| Brazil | – | – | 2 | 1% | outside top 12 |
| Hungary | – | – | 2 | 1% | outside top 12 |
| Segment | Azure Synapse Analytics | share | SAP BW/4HANA | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 2,639 | 66% | 112 | 15% | Azure Synapse Analytics |
| Software engineering | 333 | 8% | 43 | 6% | Azure Synapse Analytics |
| IT operations & business systems | 299 | 7% | 455 | 62% | SAP BW/4HANA |
| Healthcare clinical | 87 | 2% | – | – | outside top 12 |
| Sales | 62 | 2% | 2 | 0% | even |
| Product, program & project management | 58 | 1% | 7 | 1% | even |
| Logistics warehouse and transport | 37 | 1% | 1 | 0% | even |
| General management & consulting | 21 | 1% | 3 | 0% | even |
| Customer service & success | 12 | 0% | 1 | 0% | even |
| Engineering (non-software) | 12 | 0% | 2 | 0% | even |
| Quality, safety & environment | 9 | 0% | – | – | outside top 12 |
| Finance & accounting | 8 | 0% | 12 | 2% | even |
| Unclassified | – | – | 2 | 0% | outside top 12 |
| Marketing & communications | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Synapse Analytics →
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 Azure Synapse Analytics by 1,048; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-synapse-analytics-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.
Azure Synapse Analytics vs SAP BW/4HANA: questions
Which is more used, Azure Synapse Analytics or SAP BW/4HANA?
By companies naming it in their own job postings, Azure Synapse Analytics (1,048) over SAP BW/4HANA (149). 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 Azure Synapse Analytics?
37% of Azure Synapse Analytics companies have 2 to 200 employees, against 20% for SAP BW/4HANA. 38% of Azure Synapse Analytics companies have over 1,000 employees, against 58% for SAP BW/4HANA.
Do companies run both?
0 companies name both in their postings, usually Azure Synapse Analytics 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.
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