Apache Solr VS Azure AI Search
As of 4 November 2026, Azure AI Search is named by 562 companies and Apache Solr by 371; Apache Solr skews to companies under 200 people (49% vs 33%), Azure AI Search to companies over 1,000 (44% vs 29%).
As of 4 November 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 Solr's script and mail records show on hundreds of thousands of small sites, Azure AI Search rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Solr: 2–200 employees
- 49%
- Azure AI Search: 2–200 employees
- 33%
- Apache Solr: 1,000+ employees
- 29%
- Azure AI Search: 1,000+ employees
- 44%
- Postings per company, 90 days
- 1.9 · 3.1
- 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 Solr | share | Azure AI Search | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 9 | 2% | 2 | 0% | Apache Solr |
| 2-10 employees | 28 | 8% | 32 | 6% | even |
| 11-50 employees | 66 | 18% | 58 | 10% | Apache Solr |
| 51-200 employees | 86 | 23% | 95 | 17% | Apache Solr |
| 201-500 employees | 33 | 9% | 77 | 14% | Azure AI Search |
| 501-1000 employees | 43 | 12% | 52 | 9% | Apache Solr |
| 1001-5000 employees | 61 | 16% | 102 | 18% | even |
| 5001-10000 employees | 14 | 4% | 33 | 6% | Azure AI Search |
| 10,001+ employees | 31 | 8% | 111 | 20% | Azure AI Search |
| Segment | Apache Solr | share | Azure AI Search | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 223 | 60% | 234 | 42% | Apache Solr |
| Business & finance services | 53 | 14% | 161 | 29% | Azure AI Search |
| Manufacturing & industry | 22 | 6% | 51 | 9% | Azure AI Search |
| Media & content | 21 | 6% | 18 | 3% | Apache Solr |
| Commerce & trade | 16 | 4% | 17 | 3% | even |
| Public, community & associations | 13 | 4% | 10 | 2% | even |
| Automotive | 6 | 2% | 6 | 1% | even |
| Consumer services & leisure | 6 | 2% | 12 | 2% | even |
| Transport, logistics & rental | 4 | 1% | 9 | 2% | even |
| Utilities & infrastructure | 4 | 1% | 16 | 3% | even |
| Hospitality & travel | 2 | 1% | – | – | outside top 12 |
| Health care | 1 | 0% | 13 | 2% | Azure AI Search |
| Property & construction | – | – | 9 | 2% | outside top 12 |
| Segment | Apache Solr | share | Azure AI Search | share | Leans |
|---|---|---|---|---|---|
| United States | 226 | 61% | 304 | 54% | Apache Solr |
| Germany | 23 | 6% | 46 | 8% | even |
| France | 18 | 5% | 12 | 2% | Apache Solr |
| India | 18 | 5% | 15 | 3% | Apache Solr |
| United Kingdom | 11 | 3% | 37 | 7% | Azure AI Search |
| Canada | 8 | 2% | 18 | 3% | even |
| Italy | 7 | 2% | – | – | outside top 12 |
| Switzerland | 4 | 1% | – | – | outside top 12 |
| Sweden | 4 | 1% | 7 | 1% | even |
| Austria | 3 | 1% | 9 | 2% | even |
| Lithuania | 3 | 1% | – | – | outside top 12 |
| Brazil | 2 | 1% | – | – | outside top 12 |
| Netherlands | – | – | 13 | 2% | outside top 12 |
| Australia | – | – | 11 | 2% | outside top 12 |
| Spain | – | – | 9 | 2% | outside top 12 |
| Poland | – | – | 9 | 2% | outside top 12 |
| Segment | Apache Solr | share | Azure AI Search | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 784 | 63% | 443 | 22% | Apache Solr |
| Data & AI | 179 | 14% | 910 | 44% | Azure AI Search |
| IT operations & business systems | 95 | 8% | 132 | 6% | even |
| Product, program & project management | 25 | 2% | 13 | 1% | even |
| Engineering (non-software) | 7 | 1% | 7 | 0% | even |
| Sales | 7 | 1% | 19 | 1% | even |
| Unclassified | 7 | 1% | 8 | 0% | even |
| Marketing & communications | 5 | 0% | 182 | 9% | Azure AI Search |
| Arts media and entertainment | 2 | 0% | 3 | 0% | even |
| Customer service & success | 2 | 0% | 15 | 1% | even |
| Design & UX | 2 | 0% | 8 | 0% | even |
| Human resources | 2 | 0% | 1 | 0% | even |
| Administration & office | 1 | 0% | – | – | outside top 12 |
| Business development & strategy | 1 | 0% | 8 | 0% | even |
| Construction and civil | 1 | 0% | 1 | 0% | even |
| Education & training | 1 | 0% | – | – | outside top 12 |
| General management & consulting | 1 | 0% | 33 | 2% | even |
| Finance & accounting | – | – | 1 | 0% | outside top 12 |
| Procurement and purchasing | – | – | 1 | 0% | outside top 12 |
| Quality, safety & environment | – | – | 1 | 0% | outside top 12 |
| Social care and community | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Solr →
Companies using Azure AI Search →
search engines ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Azure AI Search is named by 562 companies in job postings and Apache Solr by 371; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/apache-solr-vs-azure-ai-search)
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 Solr vs Azure AI Search: questions
Which is more used, Apache Solr or Azure AI Search?
By companies naming it in their own job postings, Azure AI Search (562) over Apache Solr (371). By website-and-DNS footprint, Azure AI Search (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Solr?
49% of Apache Solr companies have 2 to 200 employees, against 33% for Azure AI Search. 29% of Apache Solr companies have over 1,000 employees, against 44% for Azure AI Search.
Do companies run both?
0 companies name both in their postings, usually Apache Solr in marketing and Azure AI Search 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.
Get either list your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
Every company on either tool,
with the person who owns it
Filter on Apache Solr or Azure AI Search. Start free, no card.