Apache Superset VS Salesforce CRM Analytics
As of 30 October 2026, Salesforce CRM Analytics is named by 112 companies and Apache Superset by 218; Apache Superset skews to companies under 200 people (50% vs 21%), Salesforce CRM Analytics to companies over 1,000 (52% 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, Salesforce CRM Analytics 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%
- Salesforce CRM Analytics: 2–200 employees
- 21%
- Apache Superset: 1,000+ employees
- 32%
- Salesforce CRM Analytics: 1,000+ employees
- 52%
- Postings per company, 90 days
- 2.0 · 2.2
- 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 | Apache Superset | share | Salesforce CRM Analytics | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 5 | 2% | 1 | 1% | even |
| 2-10 employees | 12 | 6% | 7 | 6% | even |
| 11-50 employees | 43 | 20% | 5 | 4% | Apache Superset |
| 51-200 employees | 55 | 25% | 12 | 11% | Apache Superset |
| 201-500 employees | 22 | 10% | 14 | 13% | Salesforce CRM Analytics |
| 501-1000 employees | 11 | 5% | 15 | 13% | Salesforce CRM Analytics |
| 1001-5000 employees | 40 | 18% | 21 | 19% | even |
| 5001-10000 employees | 9 | 4% | 11 | 10% | Salesforce CRM Analytics |
| 10,001+ employees | 21 | 10% | 26 | 23% | Salesforce CRM Analytics |
| Segment | Apache Superset | share | Salesforce CRM Analytics | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 100 | 46% | 34 | 30% | Apache Superset |
| Business & finance services | 46 | 21% | 31 | 28% | Salesforce CRM Analytics |
| Media & content | 19 | 9% | 1 | 1% | Apache Superset |
| Manufacturing & industry | 18 | 8% | 28 | 25% | Salesforce CRM Analytics |
| Public, community & associations | 11 | 5% | 4 | 4% | even |
| Consumer services & leisure | 4 | 2% | 3 | 3% | even |
| Transport, logistics & rental | 4 | 2% | – | – | outside top 12 |
| Utilities & infrastructure | 4 | 2% | 2 | 2% | even |
| Commerce & trade | 3 | 1% | 5 | 4% | Salesforce CRM Analytics |
| Health care | 3 | 1% | 2 | 2% | even |
| Automotive | 2 | 1% | 1 | 1% | even |
| Hospitality & travel | 2 | 1% | – | – | outside top 12 |
| Property & construction | – | – | 1 | 1% | outside top 12 |
| Segment | Apache Superset | share | Salesforce CRM Analytics | share | Leans |
|---|---|---|---|---|---|
| United States | 121 | 56% | 73 | 65% | Salesforce CRM Analytics |
| United Kingdom | 19 | 9% | 14 | 13% | Salesforce CRM Analytics |
| France | 10 | 5% | – | – | outside top 12 |
| India | 10 | 5% | 6 | 5% | even |
| Germany | 7 | 3% | 3 | 3% | even |
| Belgium | 4 | 2% | 1 | 1% | even |
| Brazil | 4 | 2% | 1 | 1% | even |
| Switzerland | 4 | 2% | 1 | 1% | even |
| Singapore | 4 | 2% | – | – | outside top 12 |
| Australia | 3 | 1% | 3 | 3% | even |
| Canada | 3 | 1% | 3 | 3% | even |
| China | 2 | 1% | – | – | outside top 12 |
| Estonia | – | – | 1 | 1% | outside top 12 |
| Spain | – | – | 1 | 1% | outside top 12 |
| Israel | – | – | 1 | 1% | outside top 12 |
| Segment | Apache Superset | share | Salesforce CRM Analytics | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 291 | 49% | 58 | 11% | Apache Superset |
| Software engineering | 73 | 12% | 219 | 43% | Salesforce CRM Analytics |
| Product, program & project management | 37 | 6% | 10 | 2% | Apache Superset |
| Marketing & communications | 31 | 5% | 17 | 3% | even |
| IT operations & business systems | 20 | 3% | 107 | 21% | Salesforce CRM Analytics |
| Finance & accounting | 15 | 3% | 1 | 0% | Apache Superset |
| Legal, compliance & risk | 13 | 2% | – | – | outside top 12 |
| Sales | 11 | 2% | 20 | 4% | Salesforce CRM Analytics |
| Engineering (non-software) | 7 | 1% | 2 | 0% | even |
| Business development & strategy | 6 | 1% | 1 | 0% | even |
| Customer service & success | 2 | 0% | 3 | 1% | even |
| General management & consulting | 2 | 0% | – | – | outside top 12 |
| Unclassified | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Superset →
Companies using Salesforce CRM Analytics →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Salesforce CRM Analytics is named by 112 companies in job postings and Apache Superset by 218; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-superset-vs-salesforce-crm-analytics)
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 Salesforce CRM Analytics: questions
Which is more used, Apache Superset or Salesforce CRM Analytics?
By companies naming it in their own job postings, Apache Superset (218) over Salesforce CRM Analytics (112). By website-and-DNS footprint, Salesforce CRM Analytics (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 21% for Salesforce CRM Analytics. 32% of Apache Superset companies have over 1,000 employees, against 52% for Salesforce CRM Analytics.
Do companies run both?
0 companies name both in their postings, usually Apache Superset in marketing and Salesforce CRM Analytics 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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