Companies that use Github Enterprise with data residency

Analyzed and validated by Henley Wing Chiu
All โ€บ devops โ€บ Github Enterprise with data residency

Github Enterprise with data residency We detected 2,343 companies using Github Enterprise with data residency and 6 companies that churned. The most common industry is IT Services and IT Consulting (11%) and the most common company size is 51-200 employees (28%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. Note: This tracks companies that use Github Enterprise with data residency, so they can have more control over their data. We also track companies that use Github Enterprise

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Company Employees Industry Country Region Usage Start Date
ERGO Hestia source 1,001โ€“5,000 Insurance
PL Poland
Europe
EriลŸ source 1,001โ€“5,000 Food Production
TR Turkey
Europe
Esferize source 51โ€“200 Telecommunications
ES Spain
Europe
Esri Espaรฑa source 51โ€“200 IT Services and IT Consulting
ES Spain
Europe
Etstur source 501โ€“1,000 Travel Arrangements
TR Turkey
Europe
Etteplan source 1,001โ€“5,000 Industrial Machinery Manufacturing
FI Finland
Europe
Eubelius source 51โ€“200 Law Practice
BE Belgium
Europe
European Union Drugs Agency (EUDA) source 51โ€“200 Government Administration
PT Portugal
Europe
eurocash.pl source 2โ€“10 N/A
PL Poland
Europe
eurochange source 501โ€“1,000 Financial Services
GB United Kingdom
Europe
Eurostep source 51โ€“200 IT Services and IT Consulting
SE Sweden
Europe
Exail source 1,001โ€“5,000 Defense and Space Manufacturing N/A Europe
Exemplis LLC source 1,001โ€“5,000 Manufacturing
US United States
North America
Expert Network source 51โ€“200 Software Development
RO RO
Europe
ExponentHR source 51โ€“200 Human Resources Services
US United States
North America
Fabuwood source 1,001โ€“5,000 Wholesale Building Materials
US United States
North America
Federal Farm Credit Banks Funding Corporation source 11โ€“50 Financial Services
US United States
North America
Regency Centers source 201โ€“500 Real Estate
US United States
North America
Regenexx Physicians source 51โ€“200 Hospitals and Health Care
US United States
North America
REGIE PRO source 11โ€“50 Legal Services
FR France
Europe
Showing 1-20

Market Insights

๐Ÿข Top Industries

IT Services and IT Consulting 220 (11%)
Financial Services 170 (9%)
Software Development 170 (9%)
Banking 93 (5%)
Hospitals and Health Care 87 (4%)

๐Ÿ“ Company Size Distribution

51-200 employees 625 (28%)
201-500 employees 419 (19%)
1,001-5,000 employees 386 (17%)
501-1,000 employees 269 (12%)
10,001+ employees 181 (8%)

๐Ÿ‘ฅ What types of companies use Github Enterprise with data residency?

Source: Analysis of Linkedin bios of 2,343 companies that use Github Enterprise with data residency

Company Characteristics
i
Trait
Likelihood
Funding Stage: Post IPO debt
143.0x
Funding Stage: Post IPO equity
95.3x
Funding Stage: Private equity
49.6x
Company Size: 10,001+
40.0x
Industry: Banking
29.9x
Company Size: 5,001-10,000
29.8x
I noticed these companies operate in highly regulated, mission-critical sectors where data sovereignty isn't optional. They're primarily large financial institutions (banks, insurance companies), healthcare systems, government agencies, critical infrastructure operators (airports, utilities), and defense contractors. What they share is handling sensitive data that faces strict compliance requirements. FrieslandCampina processes dairy products but also manages complex supply chain data. Sanford Health delivers rural healthcare but operates massive patient record systems. These aren't tech companies building software products. They're traditional enterprises that need robust development platforms to support their core operations.

These are definitively mature enterprises. The employee counts tell the story: most have 500+ employees, many exceed 5,000. Multiple companies explicitly mention 20, 30, even + year histories. FrieslandCampina has "a cooperative history dating back more than 150 years." Very few show venture funding, and those that do are at late stages (Series A at minimum, often post-IPO). The startups present, like Skild AI, are well-funded outliers in deep tech sectors with regulatory concerns.

๐Ÿ”ง What other technologies do Github Enterprise with data residency customers also use?

Source: Analysis of tech stacks from 2,343 companies that use Github Enterprise with data residency

Commonly Paired Technologies
i
Technology
Likelihood
2914.8x
1448.4x
1003.2x
555.3x
255.9x
59.1x
I noticed that companies using GitHub Enterprise with data residency are primarily large, security-conscious enterprises dealing with highly regulated or sensitive data. The dominance of Microsoft Entra ID alongside Azure DevOps tells me these are Microsoft-ecosystem organizations that have standardized on Azure for their entire infrastructure. The presence of tools like RelativityOne (eDiscovery software) and the extreme correlation multipliers suggest we're looking at enterprises in legal, financial services, healthcare, or government sectors where data sovereignty isn't just a preference but a compliance requirement.

The pairing of Microsoft Entra ID with Azure DevOps makes perfect sense because these companies want their identity management, development tools, and code repositories all within the same security boundary. When I see E2Open appearing, even in just six companies, it points to supply chain and logistics firms handling sensitive commercial data across borders. The Go1 correlation is particularly revealing because it's a learning management system, which suggests these enterprises invest heavily in training employees on compliance and security protocols. Apptio's presence indicates these are large enough organizations that they need specialized tools for technology business management and cloud cost optimization.

My analysis shows these are sales-led, enterprise-focused companies in their mature growth stage. They're not startups experimenting with tools. They're established organizations with dedicated compliance teams, substantial IT budgets, and complex procurement processes. The tech stack screams "top-down decision making" rather than bottom-up adoption.

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