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Github Enterprise with data residency
We detected 657 companies using Github Enterprise with data residency. The most common industry is IT Services and IT Consulting (13%) and the most common company size is 51-200 employees (27%). 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
๐ฅ What types of companies use Github Enterprise with data residency?
Source: Analysis of Linkedin bios of 657 companies that use Github Enterprise with data residency
Company Characteristics
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Shows how much more likely Github Enterprise with data residency customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
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.
๐ง What other technologies do Github Enterprise with data residency customers also use?
Source: Analysis of tech stacks from 657 companies that use Github Enterprise with data residency
Commonly Paired Technologies
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Shows how much more likely Github Enterprise with data residency customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
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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