Azure Automation VS Open Policy Agent
As of 30 October 2026, Open Policy Agent is named by 343 companies and Azure Automation by 120; Azure Automation skews to companies under 200 people (21% vs 38%), Open Policy Agent to companies over 1,000 (34% vs 53%).
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: Azure Automation's script and mail records show on hundreds of thousands of small sites, Open Policy Agent rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Automation: 2–200 employees
- 21%
- Open Policy Agent: 2–200 employees
- 38%
- Azure Automation: 1,000+ employees
- 53%
- Open Policy Agent: 1,000+ employees
- 34%
- Postings per company, 90 days
- 2.5 · 2.4
- 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 | Azure Automation | share | Open Policy Agent | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 1% | 4 | 1% | even |
| 2-10 employees | 4 | 3% | 25 | 7% | Open Policy Agent |
| 11-50 employees | 6 | 5% | 49 | 14% | Open Policy Agent |
| 51-200 employees | 15 | 13% | 57 | 17% | Open Policy Agent |
| 201-500 employees | 16 | 13% | 49 | 14% | even |
| 501-1000 employees | 14 | 12% | 41 | 12% | even |
| 1001-5000 employees | 31 | 26% | 58 | 17% | Azure Automation |
| 5001-10000 employees | 10 | 8% | 18 | 5% | Azure Automation |
| 10,001+ employees | 23 | 19% | 42 | 12% | Azure Automation |
| Segment | Azure Automation | share | Open Policy Agent | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 36 | 30% | 180 | 52% | Open Policy Agent |
| Business & finance services | 30 | 25% | 76 | 22% | Azure Automation |
| Manufacturing & industry | 17 | 14% | 30 | 9% | Azure Automation |
| Public, community & associations | 8 | 7% | 8 | 2% | Azure Automation |
| Property & construction | 7 | 6% | 3 | 1% | Azure Automation |
| Utilities & infrastructure | 6 | 5% | 10 | 3% | Azure Automation |
| Health care | 5 | 4% | 7 | 2% | Azure Automation |
| Commerce & trade | 4 | 3% | 6 | 2% | even |
| Media & content | 2 | 2% | 12 | 3% | even |
| Agriculture & forestry | 1 | 1% | – | – | outside top 12 |
| Automotive | 1 | 1% | – | – | outside top 12 |
| Consumer services & leisure | 1 | 1% | 4 | 1% | even |
| Transport, logistics & rental | – | – | 4 | 1% | outside top 12 |
| Hospitality & travel | – | – | 2 | 1% | outside top 12 |
| Segment | Azure Automation | share | Open Policy Agent | share | Leans |
|---|---|---|---|---|---|
| United States | 74 | 62% | 251 | 73% | Open Policy Agent |
| United Kingdom | 12 | 10% | 33 | 10% | even |
| Germany | 8 | 7% | 6 | 2% | Azure Automation |
| Canada | 5 | 4% | 4 | 1% | Azure Automation |
| Netherlands | 3 | 3% | – | – | outside top 12 |
| Australia | 2 | 2% | 6 | 2% | even |
| France | 2 | 2% | 6 | 2% | even |
| India | 2 | 2% | 4 | 1% | even |
| Austria | 1 | 1% | – | – | outside top 12 |
| Switzerland | 1 | 1% | 2 | 1% | even |
| Czechia | 1 | 1% | – | – | outside top 12 |
| Denmark | 1 | 1% | – | – | outside top 12 |
| Brazil | – | – | 5 | 1% | outside top 12 |
| United Arab Emirates | – | – | 3 | 1% | outside top 12 |
| Belgium | – | – | 3 | 1% | outside top 12 |
| Ireland | – | – | 2 | 1% | outside top 12 |
| Segment | Azure Automation | share | Open Policy Agent | share | Leans |
|---|---|---|---|---|---|
| IT operations & business systems | 213 | 61% | 357 | 35% | Azure Automation |
| Software engineering | 42 | 12% | 464 | 45% | Open Policy Agent |
| Data & AI | 18 | 5% | 45 | 4% | even |
| Engineering (non-software) | 16 | 5% | 18 | 2% | Azure Automation |
| Customer service & success | 2 | 1% | – | – | outside top 12 |
| General management & consulting | 2 | 1% | – | – | outside top 12 |
| Legal, compliance & risk | 2 | 1% | 6 | 1% | even |
| Product, program & project management | 1 | 0% | 8 | 1% | even |
| Sales | 1 | 0% | 3 | 0% | even |
| Healthcare clinical | – | – | 12 | 1% | outside top 12 |
| Healthcare support and caregiving | – | – | 11 | 1% | outside top 12 |
| Arts media and entertainment | – | – | 1 | 0% | outside top 12 |
| Design & UX | – | – | 1 | 0% | outside top 12 |
| Facilities cleaning and security | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Automation →
Companies using Open Policy Agent →
iac config management ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Open Policy Agent is named by 343 companies in job postings and Azure Automation by 120; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-automation-vs-open-policy-agent)
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.
Azure Automation vs Open Policy Agent: questions
Which is more used, Azure Automation or Open Policy Agent?
By companies naming it in their own job postings, Open Policy Agent (343) over Azure Automation (120). By website-and-DNS footprint, Open Policy Agent (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Automation?
21% of Azure Automation companies have 2 to 200 employees, against 38% for Open Policy Agent. 53% of Azure Automation companies have over 1,000 employees, against 34% for Open Policy Agent.
Do companies run both?
0 companies name both in their postings, usually Azure Automation in marketing and Open Policy Agent 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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