Apache Superset VS Crystal Reports
As of 30 October 2026, Crystal Reports is named by 479 companies and Apache Superset by 218; Apache Superset skews to companies under 200 people (50% vs 40%), Crystal Reports to companies over 1,000 (38% 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, Crystal Reports 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%
- Crystal Reports: 2–200 employees
- 40%
- Apache Superset: 1,000+ employees
- 32%
- Crystal Reports: 1,000+ employees
- 38%
- Postings per company, 90 days
- 2.0 · 1.8
- 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 | Crystal Reports | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 5 | 2% | 3 | 1% | even |
| 2-10 employees | 12 | 6% | 27 | 6% | even |
| 11-50 employees | 43 | 20% | 62 | 13% | Apache Superset |
| 51-200 employees | 55 | 25% | 104 | 22% | Apache Superset |
| 201-500 employees | 22 | 10% | 65 | 14% | Crystal Reports |
| 501-1000 employees | 11 | 5% | 37 | 8% | Crystal Reports |
| 1001-5000 employees | 40 | 18% | 98 | 20% | Crystal Reports |
| 5001-10000 employees | 9 | 4% | 26 | 5% | even |
| 10,001+ employees | 21 | 10% | 57 | 12% | Crystal Reports |
| Segment | Apache Superset | share | Crystal Reports | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 100 | 46% | 162 | 34% | Apache Superset |
| Business & finance services | 46 | 21% | 82 | 17% | Apache Superset |
| Media & content | 19 | 9% | 9 | 2% | Apache Superset |
| Manufacturing & industry | 18 | 8% | 71 | 15% | Crystal Reports |
| Public, community & associations | 11 | 5% | 20 | 4% | even |
| Consumer services & leisure | 4 | 2% | 11 | 2% | even |
| Transport, logistics & rental | 4 | 2% | 13 | 3% | even |
| Utilities & infrastructure | 4 | 2% | 18 | 4% | even |
| Commerce & trade | 3 | 1% | 13 | 3% | even |
| Health care | 3 | 1% | 50 | 10% | Crystal Reports |
| Automotive | 2 | 1% | 5 | 1% | even |
| Hospitality & travel | 2 | 1% | – | – | outside top 12 |
| Property & construction | – | – | 22 | 5% | outside top 12 |
| Segment | Apache Superset | share | Crystal Reports | share | Leans |
|---|---|---|---|---|---|
| United States | 121 | 56% | 328 | 68% | Crystal Reports |
| United Kingdom | 19 | 9% | 20 | 4% | Apache Superset |
| France | 10 | 5% | 9 | 2% | Apache Superset |
| India | 10 | 5% | 15 | 3% | even |
| Germany | 7 | 3% | 18 | 4% | even |
| Belgium | 4 | 2% | – | – | outside top 12 |
| Brazil | 4 | 2% | – | – | outside top 12 |
| Switzerland | 4 | 2% | – | – | outside top 12 |
| Singapore | 4 | 2% | – | – | outside top 12 |
| Australia | 3 | 1% | 9 | 2% | even |
| Canada | 3 | 1% | 26 | 5% | Crystal Reports |
| China | 2 | 1% | – | – | outside top 12 |
| Italy | – | – | 8 | 2% | outside top 12 |
| Poland | – | – | 5 | 1% | outside top 12 |
| Spain | – | – | 4 | 1% | outside top 12 |
| Netherlands | – | – | 4 | 1% | outside top 12 |
| United Arab Emirates | – | – | 3 | 1% | outside top 12 |
| Segment | Apache Superset | share | Crystal Reports | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 291 | 49% | 152 | 10% | Apache Superset |
| Software engineering | 73 | 12% | 360 | 24% | Crystal Reports |
| Product, program & project management | 37 | 6% | 41 | 3% | Apache Superset |
| Marketing & communications | 31 | 5% | – | – | outside top 12 |
| IT operations & business systems | 20 | 3% | 368 | 25% | Crystal Reports |
| Finance & accounting | 15 | 3% | 81 | 6% | Crystal Reports |
| Legal, compliance & risk | 13 | 2% | 25 | 2% | even |
| Sales | 11 | 2% | 10 | 1% | even |
| Engineering (non-software) | 7 | 1% | 29 | 2% | even |
| Business development & strategy | 6 | 1% | – | – | outside top 12 |
| Customer service & success | 2 | 0% | 32 | 2% | even |
| General management & consulting | 2 | 0% | 10 | 1% | even |
| Administration & office | – | – | 16 | 1% | outside top 12 |
| Quality, safety & environment | – | – | 16 | 1% | outside top 12 |
The companies behind each column
Companies using Apache Superset →
Companies using Crystal Reports →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Crystal Reports is named by 479 companies in job postings and Apache Superset by 218; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-superset-vs-crystal-reports)
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 Crystal Reports: questions
Which is more used, Apache Superset or Crystal Reports?
By companies naming it in their own job postings, Crystal Reports (479) over Apache Superset (218). By website-and-DNS footprint, Crystal Reports (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 40% for Crystal Reports. 32% of Apache Superset companies have over 1,000 employees, against 38% for Crystal Reports.
Do companies run both?
0 companies name both in their postings, usually Apache Superset in marketing and Crystal Reports 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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