Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEAlation VS Great Expectations_
As of 4 November 2026, Great Expectations is named by 287 companies and Alation by 291; Alation skews to companies under 200 people (27% vs 39%), Great Expectations to companies over 1,000 (33% vs 52%).
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: Alation's script and mail records show on hundreds of thousands of small sites, Great Expectations rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Alation: 2–200 employees
- 27%
- Great Expectations: 2–200 employees
- 39%
- Alation: 1,000+ employees
- 52%
- Great Expectations: 1,000+ employees
- 33%
- Postings per company, 90 days
- 2.6 · 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 | Alation | share | Great Expectations | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 1% | 8 | 3% | even |
| 2-10 employees | 12 | 4% | 18 | 6% | Great Expectations |
| 11-50 employees | 27 | 9% | 36 | 13% | Great Expectations |
| 51-200 employees | 41 | 14% | 59 | 21% | Great Expectations |
| 201-500 employees | 33 | 11% | 34 | 12% | even |
| 501-1000 employees | 24 | 8% | 36 | 13% | Great Expectations |
| 1001-5000 employees | 68 | 23% | 50 | 17% | Alation |
| 5001-10000 employees | 23 | 8% | 16 | 6% | Alation |
| 10,001+ employees | 60 | 21% | 30 | 10% | Alation |
| Segment | Alation | share | Great Expectations | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 99 | 34% | 136 | 47% | Great Expectations |
| Business & finance services | 78 | 27% | 61 | 21% | Alation |
| Manufacturing & industry | 43 | 15% | 19 | 7% | Alation |
| Health care | 13 | 4% | 5 | 2% | Alation |
| Utilities & infrastructure | 13 | 4% | 12 | 4% | even |
| Commerce & trade | 12 | 4% | 17 | 6% | even |
| Media & content | 7 | 2% | 8 | 3% | even |
| Hospitality & travel | 6 | 2% | 5 | 2% | even |
| Transport, logistics & rental | 6 | 2% | 3 | 1% | even |
| Consumer services & leisure | 5 | 2% | 7 | 2% | even |
| Public, community & associations | 4 | 1% | 9 | 3% | even |
| Property & construction | 3 | 1% | 3 | 1% | even |
| Segment | Alation | share | Great Expectations | share | Leans |
|---|---|---|---|---|---|
| United States | 196 | 67% | 192 | 67% | even |
| United Kingdom | 20 | 7% | 20 | 7% | even |
| Canada | 10 | 3% | 6 | 2% | even |
| Australia | 8 | 3% | 4 | 1% | even |
| Germany | 8 | 3% | 6 | 2% | even |
| France | 7 | 2% | 10 | 3% | even |
| Spain | 6 | 2% | – | – | outside top 12 |
| Brazil | 4 | 1% | 5 | 2% | even |
| Belgium | 3 | 1% | 4 | 1% | even |
| Portugal | 3 | 1% | – | – | outside top 12 |
| Switzerland | 2 | 1% | 2 | 1% | even |
| India | 2 | 1% | 5 | 2% | even |
| Sweden | – | – | 4 | 1% | outside top 12 |
| Netherlands | – | – | 3 | 1% | outside top 12 |
| Segment | Alation | share | Great Expectations | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 682 | 76% | 389 | 62% | Alation |
| Product, program & project management | 53 | 6% | 10 | 2% | Alation |
| IT operations & business systems | 25 | 3% | 23 | 4% | even |
| Software engineering | 21 | 2% | 64 | 10% | Great Expectations |
| General management & consulting | 19 | 2% | 1 | 0% | even |
| Legal, compliance & risk | 6 | 1% | 6 | 1% | even |
| Customer service & success | 4 | 0% | 2 | 0% | even |
| Sales | 4 | 0% | 4 | 1% | even |
| Marketing & communications | 3 | 0% | – | – | outside top 12 |
| Engineering (non-software) | 2 | 0% | 22 | 3% | Great Expectations |
| Business development & strategy | 1 | 0% | – | – | outside top 12 |
| Design & UX | 1 | 0% | – | – | outside top 12 |
| Finance & accounting | 1 | 0% | 1 | 0% | even |
| Human resources | 1 | 0% | – | – | outside top 12 |
| Quality, safety & environment | 1 | 0% | 17 | 3% | Great Expectations |
| skilled trades and field service | – | – | 5 | 1% | outside top 12 |
| real estate and property | – | – | 2 | 0% | outside top 12 |
| Education & training | – | – | 1 | 0% | outside top 12 |
| hospitality and food service | – | – | 1 | 0% | outside top 12 |
| personal care and wellness | – | – | 1 | 0% | outside top 12 |
| research and science | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Alation →
Companies using Great Expectations →
data governance quality mdm ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Great Expectations is named by 287 companies in job postings and Alation by 291; 24 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/alation-vs-great-expectations)
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.
Alation vs Great Expectations: questions
Which is more used, Alation or Great Expectations?
By companies naming it in their own job postings, Alation (291) over Great Expectations (287). By website-and-DNS footprint, Great Expectations (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Alation?
27% of Alation companies have 2 to 200 employees, against 39% for Great Expectations. 52% of Alation companies have over 1,000 employees, against 33% for Great Expectations.
Do companies run both?
24 companies name both in their postings, usually Alation in marketing and Great Expectations 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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