DataHub VS Great Expectations
As of 30 October 2026, Great Expectations is named by 215 companies and DataHub by 127; DataHub skews to companies under 200 people (30% vs 40%), Great Expectations to companies over 1,000 (33% 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: DataHub'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.
- DataHub: 2–200 employees
- 30%
- Great Expectations: 2–200 employees
- 40%
- DataHub: 1,000+ employees
- 40%
- Great Expectations: 1,000+ employees
- 33%
- Postings per company, 90 days
- 2.8 · 2.2
- 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 | DataHub | share | Great Expectations | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 2% | 3 | 1% | even |
| 2-10 employees | 3 | 2% | 11 | 5% | Great Expectations |
| 11-50 employees | 15 | 12% | 29 | 13% | even |
| 51-200 employees | 20 | 16% | 46 | 21% | Great Expectations |
| 201-500 employees | 21 | 17% | 27 | 13% | DataHub |
| 501-1000 employees | 14 | 11% | 29 | 13% | Great Expectations |
| 1001-5000 employees | 31 | 24% | 38 | 18% | DataHub |
| 5001-10000 employees | 5 | 4% | 10 | 5% | even |
| 10,001+ employees | 15 | 12% | 22 | 10% | even |
| Segment | DataHub | share | Great Expectations | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 55 | 43% | 104 | 48% | Great Expectations |
| Business & finance services | 34 | 27% | 44 | 20% | DataHub |
| Manufacturing & industry | 13 | 10% | 14 | 7% | DataHub |
| Utilities & infrastructure | 6 | 5% | 12 | 6% | even |
| Consumer services & leisure | 5 | 4% | 5 | 2% | even |
| Media & content | 5 | 4% | 5 | 2% | even |
| Commerce & trade | 4 | 3% | 11 | 5% | even |
| Transport, logistics & rental | 2 | 2% | – | – | outside top 12 |
| Automotive | 1 | 1% | 2 | 1% | even |
| Public, community & associations | 1 | 1% | 6 | 3% | Great Expectations |
| Hospitality & travel | 1 | 1% | 3 | 1% | even |
| Health care | – | – | 4 | 2% | outside top 12 |
| Property & construction | – | – | 3 | 1% | outside top 12 |
| Segment | DataHub | share | Great Expectations | share | Leans |
|---|---|---|---|---|---|
| United States | 72 | 57% | 150 | 70% | Great Expectations |
| United Kingdom | 12 | 9% | 16 | 7% | DataHub |
| France | 8 | 6% | 6 | 3% | DataHub |
| Germany | 6 | 5% | 4 | 2% | DataHub |
| Brazil | 3 | 2% | – | – | outside top 12 |
| Netherlands | 3 | 2% | 3 | 1% | even |
| Belgium | 2 | 2% | 4 | 2% | even |
| Canada | 2 | 2% | 6 | 3% | even |
| Spain | 2 | 2% | – | – | outside top 12 |
| India | 2 | 2% | 4 | 2% | even |
| Poland | 2 | 2% | – | – | outside top 12 |
| Sweden | 2 | 2% | 2 | 1% | even |
| Australia | – | – | 3 | 1% | outside top 12 |
| Switzerland | – | – | 2 | 1% | outside top 12 |
| Singapore | – | – | 2 | 1% | outside top 12 |
| Segment | DataHub | share | Great Expectations | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 226 | 49% | 341 | 61% | Great Expectations |
| Software engineering | 73 | 16% | 49 | 9% | DataHub |
| Healthcare clinical | 42 | 9% | – | – | outside top 12 |
| IT operations & business systems | 21 | 5% | 21 | 4% | even |
| Product, program & project management | 16 | 3% | 7 | 1% | DataHub |
| General management & consulting | 6 | 1% | – | – | outside top 12 |
| Finance & accounting | 5 | 1% | – | – | outside top 12 |
| Engineering (non-software) | 3 | 1% | 19 | 3% | Great Expectations |
| Legal, compliance & risk | 2 | 0% | 7 | 1% | even |
| Unclassified | 2 | 0% | – | – | outside top 12 |
| Business development & strategy | 1 | 0% | – | – | outside top 12 |
| Construction and civil | 1 | 0% | – | – | outside top 12 |
| Quality, safety & environment | – | – | 17 | 3% | outside top 12 |
| Skilled trades and field service | – | – | 7 | 1% | outside top 12 |
| Sales | – | – | 5 | 1% | outside top 12 |
| Customer service & success | – | – | 2 | 0% | outside top 12 |
| Hospitality and food service | – | – | 2 | 0% | outside top 12 |
| Real estate and property | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using DataHub →
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 215 companies in job postings and DataHub by 127; 30 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/datahub-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.
DataHub vs Great Expectations: questions
Which is more used, DataHub or Great Expectations?
By companies naming it in their own job postings, Great Expectations (215) over DataHub (127). By website-and-DNS footprint, Great Expectations (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses DataHub?
30% of DataHub companies have 2 to 200 employees, against 40% for Great Expectations. 40% of DataHub companies have over 1,000 employees, against 33% for Great Expectations.
Do companies run both?
30 companies name both in their postings, usually DataHub 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.
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 DataHub or Great Expectations. Start free, no card.