We detected 209 companies using DataDog Status Pages. The most common industry is Software Development (32%) and the most common company size is 51-200 employees (37%). We find new customers by discovering URLs with known URL patterns through web crawling or certificate transparency logs.
Note: We also track companies using DataDog here
Transportation, Logistics, Supply Chain and Storage7 (4%)
๐ Company Size Distribution
51-200 employees75 (37%)
11-50 employees43 (21%)
201-500 employees31 (15%)
2-10 employees19 (9%)
501-1,000 employees18 (9%)
๐ฅ What types of companies use DataDog Status Pages?
Source: Analysis of Linkedin bios of 209 companies that use DataDog Status Pages
Company Characteristics
i
Shows how much more likely DataDog Status Pages 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: Series B
181.2x
Funding Stage: Series A
92.1x
Funding Stage: Series unknown
40.7x
Industry: Software Development
21.3x
Company Size: 1,001-5,000
12.9x
Company Size: 501-1,000
12.2x
I noticed that DataDog Status Pages attracts a remarkably diverse range of companies, but they share a common thread: they're building digital infrastructure that customers depend on continuously. These aren't just software companies. They include fintech platforms processing billions in transactions (Wayflyer, TaxCloud, Clutch), property management systems handling daily operations (RealPage, Copart), healthcare providers delivering remote care (Cohere Health, AbleTo), and even luxury retailers managing global ecommerce (Richemont). What unites them is that their customers need to know when systems are up or down.
These companies skew toward growth stage and established players. I see numerous Series B through Series E rounds (Cohere Health at $90M Series C, Olist at $186M Series E, Wayflyer with $1B in debt financing), along with post-IPO companies like RealPage. Many report 200-500+ employees and describe serving thousands of enterprise customers. Even smaller teams often mention impressive scale, like Rilla serving "thousands of sales teams" or Constrafor working with "global enterprises."
๐ง What other technologies do DataDog Status Pages customers also use?
Source: Analysis of tech stacks from 209 companies that use DataDog Status Pages
Commonly Paired Technologies
i
Shows how much more likely DataDog Status Pages 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 DataDog Status Pages are solidly in the B2B SaaS category, and specifically those building infrastructure or developer-facing products. The presence of tools like Databricks, LaunchDarkly, and Posthog Enterprise tells me these companies deal with complex technical systems where uptime and observability really matter. They're sophisticated enough to need public status pages because their customers depend on their reliability.
The pairing with Vanta is particularly revealing. When you need compliance automation alongside status page infrastructure, you're selling to enterprise customers who care about SOC 2 and security certifications. The combination of Ashby for recruiting and Atlan for data cataloging suggests these companies are growing quickly and investing heavily in both talent acquisition and data infrastructure. LaunchDarkly appearing so frequently makes perfect sense too. If you're managing feature flags at scale and running a status page, you're probably doing continuous deployment and need to communicate service changes to customers proactively.
The full stack screams product-led growth with an enterprise expansion strategy. These companies likely offer self-service trials but are mature enough to need robust hiring processes through Ashby and compliance frameworks through Vanta. They're probably Series B or later, past the scrappy startup phase but still growing aggressively. The emphasis on data tools like Databricks and Atlan suggests they're data-intensive businesses that use analytics both internally and as part of their product offering.
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