Apache Superset VS SAP Analytics Cloud
As of 30 October 2026, SAP Analytics Cloud is named by 618 companies and Apache Superset by 218; Apache Superset skews to companies under 200 people (50% vs 20%), SAP Analytics Cloud to companies over 1,000 (62% vs 32%).
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: Apache Superset's script and mail records show on hundreds of thousands of small sites, SAP Analytics Cloud rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Superset: 2–200 employees
- 50%
- SAP Analytics Cloud: 2–200 employees
- 20%
- Apache Superset: 1,000+ employees
- 32%
- SAP Analytics Cloud: 1,000+ employees
- 62%
- Postings per company, 90 days
- 2.0 · 3.3
- 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 | Apache Superset | share | SAP Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 5 | 2% | 2 | 0% | even |
| 2-10 employees | 12 | 6% | 28 | 5% | even |
| 11-50 employees | 43 | 20% | 44 | 7% | Apache Superset |
| 51-200 employees | 55 | 25% | 51 | 8% | Apache Superset |
| 201-500 employees | 22 | 10% | 48 | 8% | Apache Superset |
| 501-1000 employees | 11 | 5% | 59 | 10% | SAP Analytics Cloud |
| 1001-5000 employees | 40 | 18% | 132 | 21% | SAP Analytics Cloud |
| 5001-10000 employees | 9 | 4% | 67 | 11% | SAP Analytics Cloud |
| 10,001+ employees | 21 | 10% | 187 | 30% | SAP Analytics Cloud |
| Segment | Apache Superset | share | SAP Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 100 | 46% | 127 | 21% | Apache Superset |
| Business & finance services | 46 | 21% | 82 | 13% | Apache Superset |
| Media & content | 19 | 9% | 18 | 3% | Apache Superset |
| Manufacturing & industry | 18 | 8% | 222 | 36% | SAP Analytics Cloud |
| Public, community & associations | 11 | 5% | 17 | 3% | Apache Superset |
| Consumer services & leisure | 4 | 2% | 7 | 1% | even |
| Transport, logistics & rental | 4 | 2% | 12 | 2% | even |
| Utilities & infrastructure | 4 | 2% | 36 | 6% | SAP Analytics Cloud |
| Commerce & trade | 3 | 1% | 43 | 7% | SAP Analytics Cloud |
| Health care | 3 | 1% | 11 | 2% | even |
| Automotive | 2 | 1% | 25 | 4% | SAP Analytics Cloud |
| Hospitality & travel | 2 | 1% | – | – | outside top 12 |
| Property & construction | – | – | 12 | 2% | outside top 12 |
| Segment | Apache Superset | share | SAP Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| United States | 121 | 56% | 232 | 38% | Apache Superset |
| United Kingdom | 19 | 9% | 41 | 7% | Apache Superset |
| France | 10 | 5% | 21 | 3% | even |
| India | 10 | 5% | 11 | 2% | Apache Superset |
| Germany | 7 | 3% | 151 | 24% | SAP Analytics Cloud |
| Belgium | 4 | 2% | 8 | 1% | even |
| Brazil | 4 | 2% | 13 | 2% | even |
| Switzerland | 4 | 2% | 22 | 4% | even |
| Singapore | 4 | 2% | – | – | outside top 12 |
| Australia | 3 | 1% | – | – | outside top 12 |
| Canada | 3 | 1% | 11 | 2% | even |
| China | 2 | 1% | – | – | outside top 12 |
| Netherlands | – | – | 18 | 3% | outside top 12 |
| Austria | – | – | 11 | 2% | outside top 12 |
| Italy | – | – | 9 | 1% | outside top 12 |
| Segment | Apache Superset | share | SAP Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 291 | 49% | 320 | 12% | Apache Superset |
| Software engineering | 73 | 12% | 80 | 3% | Apache Superset |
| Product, program & project management | 37 | 6% | 78 | 3% | Apache Superset |
| Marketing & communications | 31 | 5% | 13 | 1% | Apache Superset |
| IT operations & business systems | 20 | 3% | 1,133 | 44% | SAP Analytics Cloud |
| Finance & accounting | 15 | 3% | 376 | 15% | SAP Analytics Cloud |
| Legal, compliance & risk | 13 | 2% | – | – | outside top 12 |
| Sales | 11 | 2% | 24 | 1% | even |
| Engineering (non-software) | 7 | 1% | 8 | 0% | even |
| Business development & strategy | 6 | 1% | – | – | outside top 12 |
| Customer service & success | 2 | 0% | 8 | 0% | even |
| General management & consulting | 2 | 0% | 46 | 2% | even |
| Logistics warehouse and transport | – | – | 42 | 2% | outside top 12 |
| Procurement and purchasing | – | – | 12 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Superset →
Companies using SAP Analytics Cloud →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SAP Analytics Cloud is named by 618 companies in job postings and Apache Superset by 218; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-superset-vs-sap-analytics-cloud)
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.
Apache Superset vs SAP Analytics Cloud: questions
Which is more used, Apache Superset or SAP Analytics Cloud?
By companies naming it in their own job postings, SAP Analytics Cloud (618) over Apache Superset (218). By website-and-DNS footprint, SAP Analytics Cloud (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Superset?
50% of Apache Superset companies have 2 to 200 employees, against 20% for SAP Analytics Cloud. 32% of Apache Superset companies have over 1,000 employees, against 62% for SAP Analytics Cloud.
Do companies run both?
0 companies name both in their postings, usually Apache Superset in marketing and SAP Analytics Cloud 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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