SPARQL VS Splunk SPL
As of 30 October 2026, Splunk SPL is named by 170 companies and SPARQL by 115; SPARQL skews to companies under 200 people (40% vs 34%), Splunk SPL to companies over 1,000 (40% vs 40%).
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: SPARQL's script and mail records show on hundreds of thousands of small sites, Splunk SPL rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- SPARQL: 2–200 employees
- 40%
- Splunk SPL: 2–200 employees
- 34%
- SPARQL: 1,000+ employees
- 40%
- Splunk SPL: 1,000+ employees
- 40%
- Postings per company, 90 days
- 3.7 · 2.9
- 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 | SPARQL | share | Splunk SPL | share | Leans |
|---|---|---|---|---|---|
| 2-10 employees | 8 | 7% | 12 | 7% | even |
| 11-50 employees | 13 | 11% | 14 | 8% | SPARQL |
| 51-200 employees | 25 | 22% | 32 | 19% | SPARQL |
| 201-500 employees | 17 | 15% | 20 | 12% | SPARQL |
| 501-1000 employees | 6 | 5% | 22 | 13% | Splunk SPL |
| 1001-5000 employees | 19 | 17% | 31 | 18% | even |
| 5001-10000 employees | 8 | 7% | 12 | 7% | even |
| 10,001+ employees | 19 | 17% | 25 | 15% | even |
| Self-employed | – | – | 2 | 1% | outside top 12 |
| Segment | SPARQL | share | Splunk SPL | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 62 | 54% | 92 | 54% | even |
| Business & finance services | 21 | 18% | 32 | 19% | even |
| Manufacturing & industry | 11 | 10% | 10 | 6% | SPARQL |
| Public, community & associations | 9 | 8% | 6 | 4% | SPARQL |
| Media & content | 4 | 3% | 7 | 4% | even |
| Commerce & trade | 3 | 3% | 7 | 4% | even |
| Utilities & infrastructure | 2 | 2% | 4 | 2% | even |
| Automotive | 1 | 1% | 2 | 1% | even |
| Consumer services & leisure | 1 | 1% | 2 | 1% | even |
| Property & construction | 1 | 1% | – | – | outside top 12 |
| Health care | – | – | 3 | 2% | outside top 12 |
| Hospitality & travel | – | – | 2 | 1% | outside top 12 |
| Transport, logistics & rental | – | – | 2 | 1% | outside top 12 |
| Segment | SPARQL | share | Splunk SPL | share | Leans |
|---|---|---|---|---|---|
| United States | 68 | 59% | 115 | 68% | Splunk SPL |
| United Kingdom | 14 | 12% | 7 | 4% | SPARQL |
| Germany | 10 | 9% | 3 | 2% | SPARQL |
| France | 3 | 3% | 7 | 4% | even |
| India | 3 | 3% | 6 | 4% | even |
| Canada | 2 | 2% | 4 | 2% | even |
| Netherlands | 2 | 2% | – | – | outside top 12 |
| Poland | 2 | 2% | – | – | outside top 12 |
| Austria | 1 | 1% | – | – | outside top 12 |
| Australia | 1 | 1% | 2 | 1% | even |
| Belgium | 1 | 1% | – | – | outside top 12 |
| Switzerland | 1 | 1% | 4 | 2% | even |
| Singapore | – | – | 5 | 3% | outside top 12 |
| United Arab Emirates | – | – | 2 | 1% | outside top 12 |
| Ireland | – | – | 2 | 1% | outside top 12 |
| Sweden | – | – | 2 | 1% | outside top 12 |
| Segment | SPARQL | share | Splunk SPL | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 297 | 59% | 14 | 2% | SPARQL |
| Software engineering | 66 | 13% | 41 | 6% | SPARQL |
| IT operations & business systems | 16 | 3% | 394 | 55% | Splunk SPL |
| Product, program & project management | 8 | 2% | 5 | 1% | even |
| Research and science | 5 | 1% | – | – | outside top 12 |
| Engineering (non-software) | 2 | 0% | 12 | 2% | even |
| Healthcare clinical | 2 | 0% | – | – | outside top 12 |
| Sales | 2 | 0% | 5 | 1% | even |
| Finance & accounting | 1 | 0% | – | – | outside top 12 |
| General management & consulting | 1 | 0% | 2 | 0% | even |
| Marketing & communications | 1 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 83 | 11% | outside top 12 |
| Quality, safety & environment | – | – | 13 | 2% | outside top 12 |
| Legal, compliance & risk | – | – | 6 | 1% | outside top 12 |
| Skilled trades and field service | – | – | 5 | 1% | outside top 12 |
| Customer service & success | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using SPARQL →
Companies using Splunk SPL →
query languages ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Splunk SPL is named by 170 companies in job postings and SPARQL by 115; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/sparql-vs-splunk-spl)
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.
SPARQL vs Splunk SPL: questions
Which is more used, SPARQL or Splunk SPL?
By companies naming it in their own job postings, Splunk SPL (170) over SPARQL (115). By website-and-DNS footprint, Splunk SPL (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses SPARQL?
40% of SPARQL companies have 2 to 200 employees, against 34% for Splunk SPL. 40% of SPARQL companies have over 1,000 employees, against 40% for Splunk SPL.
Do companies run both?
0 companies name both in their postings, usually SPARQL in marketing and Splunk SPL 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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