LookML VS SQL Server Reporting Services
As of 30 October 2026, SQL Server Reporting Services is named by 977 companies and LookML by 156; LookML skews to companies under 200 people (42% vs 36%), SQL Server Reporting Services to companies over 1,000 (36% 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: LookML's script and mail records show on hundreds of thousands of small sites, SQL Server Reporting Services rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- LookML: 2–200 employees
- 42%
- SQL Server Reporting Services: 2–200 employees
- 36%
- LookML: 1,000+ employees
- 32%
- SQL Server Reporting Services: 1,000+ employees
- 36%
- Postings per company, 90 days
- 1.9 · 2.6
- 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 | LookML | share | SQL Server Reporting Services | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 1% | 2 | 0% | even |
| 2-10 employees | 6 | 4% | 45 | 5% | even |
| 11-50 employees | 19 | 12% | 112 | 11% | even |
| 51-200 employees | 40 | 26% | 199 | 20% | LookML |
| 201-500 employees | 24 | 15% | 157 | 16% | even |
| 501-1000 employees | 16 | 10% | 108 | 11% | even |
| 1001-5000 employees | 32 | 21% | 209 | 21% | even |
| 5001-10000 employees | 6 | 4% | 53 | 5% | even |
| 10,001+ employees | 12 | 8% | 92 | 9% | even |
| Segment | LookML | share | SQL Server Reporting Services | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 85 | 54% | 412 | 42% | LookML |
| Business & finance services | 26 | 17% | 219 | 22% | SQL Server Reporting Services |
| Commerce & trade | 10 | 6% | 27 | 3% | LookML |
| Manufacturing & industry | 9 | 6% | 103 | 11% | SQL Server Reporting Services |
| Media & content | 6 | 4% | 12 | 1% | LookML |
| Consumer services & leisure | 4 | 3% | 19 | 2% | even |
| Health care | 4 | 3% | 62 | 6% | SQL Server Reporting Services |
| Transport, logistics & rental | 4 | 3% | 17 | 2% | even |
| Automotive | 2 | 1% | – | – | outside top 12 |
| Public, community & associations | 2 | 1% | 30 | 3% | even |
| Property & construction | 2 | 1% | 26 | 3% | even |
| Agriculture & forestry | 1 | 1% | – | – | outside top 12 |
| Utilities & infrastructure | – | – | 24 | 2% | outside top 12 |
| Hospitality & travel | – | – | 10 | 1% | outside top 12 |
| Segment | LookML | share | SQL Server Reporting Services | share | Leans |
|---|---|---|---|---|---|
| United States | 97 | 62% | 675 | 69% | SQL Server Reporting Services |
| United Kingdom | 14 | 9% | 54 | 6% | LookML |
| France | 5 | 3% | 18 | 2% | even |
| India | 5 | 3% | 36 | 4% | even |
| Germany | 4 | 3% | 15 | 2% | even |
| Japan | 3 | 2% | – | – | outside top 12 |
| Poland | 3 | 2% | 7 | 1% | even |
| Australia | 2 | 1% | 24 | 2% | even |
| Brazil | 2 | 1% | – | – | outside top 12 |
| Canada | 2 | 1% | 41 | 4% | SQL Server Reporting Services |
| Switzerland | 2 | 1% | – | – | outside top 12 |
| Denmark | 2 | 1% | 7 | 1% | even |
| Netherlands | – | – | 13 | 1% | outside top 12 |
| Belgium | – | – | 11 | 1% | outside top 12 |
| Spain | – | – | 7 | 1% | outside top 12 |
| Segment | LookML | share | SQL Server Reporting Services | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 263 | 74% | 945 | 23% | LookML |
| Software engineering | 24 | 7% | 1,492 | 36% | SQL Server Reporting Services |
| IT operations & business systems | 11 | 3% | 831 | 20% | SQL Server Reporting Services |
| Sales | 9 | 3% | 13 | 0% | LookML |
| Product, program & project management | 7 | 2% | 68 | 2% | even |
| Human resources | 2 | 1% | – | – | outside top 12 |
| Finance & accounting | 1 | 0% | 43 | 1% | even |
| Legal, compliance & risk | 1 | 0% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | 6 | 0% | even |
| Retail & store operations | 1 | 0% | – | – | outside top 12 |
| Unclassified | 1 | 0% | 13 | 0% | even |
| Engineering (non-software) | – | – | 59 | 1% | outside top 12 |
| Customer service & success | – | – | 25 | 1% | outside top 12 |
| Healthcare clinical | – | – | 13 | 0% | outside top 12 |
| General management & consulting | – | – | 12 | 0% | outside top 12 |
The companies behind each column
Companies using LookML →
Companies using SQL Server Reporting Services →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SQL Server Reporting Services is named by 977 companies in job postings and LookML by 156; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/lookml-vs-sql-server-reporting-services)
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.
LookML vs SQL Server Reporting Services: questions
Which is more used, LookML or SQL Server Reporting Services?
By companies naming it in their own job postings, SQL Server Reporting Services (977) over LookML (156). By website-and-DNS footprint, SQL Server Reporting Services (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses LookML?
42% of LookML companies have 2 to 200 employees, against 36% for SQL Server Reporting Services. 32% of LookML companies have over 1,000 employees, against 36% for SQL Server Reporting Services.
Do companies run both?
0 companies name both in their postings, usually LookML in marketing and SQL Server Reporting Services 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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