Companies Using Datadog

With over a decade of experience in web crawling and technographic data analysis, I've examined Datadog's growth trajectory and customer base in detail. This analysis draws on 11,295 enriched company profiles matched from our detection of 20,437 active Datadog domains, a 55.3% match rate against our LinkedIn company database. We also cross-reference Datadog's Q4 2025 earnings (FY2025 revenue: $3.43B, 603 customers at $1M+ ARR, 4,310 at $100K+ ARR, per investors.datadoghq.com), its published case studies, G2 review data, and our competitive migration analysis, as of our March 2026 crawl.

1. Growth trajectory

Datadog's web-detectable footprint tells a clear story of accelerating enterprise adoption. From a single domain in December 2015, the platform reached 17,762 active domains by March 2025, a compound growth rate that dwarfs most monitoring tools in our database. The inflection point came in Q3 2019, when active domains jumped from 5 to 413 within 12 months, coinciding with Datadog's September 2019 IPO and the initial wave of cloud migration spending.

The second growth surge arrived in Q1 2024, when active domains nearly doubled from 5,208 to 8,857 in a single month. This correlates with Datadog's expansion into security monitoring, CI/CD visibility, and LLM observability, products that broaden its detection surface beyond core APM. Recent months (May-July 2025) show a pullback to 14,238 domains, which likely reflects normal crawl cycle variation rather than customer churn. Datadog's Q4 2025 earnings confirm $953 million in quarterly revenue (29% YoY growth, per investors.datadoghq.com) and 4,310 customers with $100K+ ARR, both at all-time highs.

"The 2024 surge is particularly notable. We've rarely seen a monitoring platform double its detection footprint in a quarter. It signals that Datadog's product expansion into security and developer tools is creating new client-side detection vectors, not just adding server-side instrumentation." - Mehmet Suleyman, CEO at TechnologyChecker.io

Sales Signal: The growth curve indicates an expanding addressable market. Sales teams targeting Datadog's installed base should focus on companies that adopted in the 2019-2021 window, as these organizations are now 3-5 years into their Datadog deployment and likely evaluating add-on products or considering consolidation.

2. Customer profile

74.4% of Datadog's enriched companies have 1-10 employees. That's one of the highest micro-business concentrations we've seen for an enterprise-positioned monitoring platform. It doesn't mean Datadog is a small business tool. The 1.9% with 10,001+ employees includes JPMorgan Chase, Samsung, Accenture, General Motors, and NVIDIA. These detections are often on internal tools, staging environments, or specific business unit subdomains rather than company-wide deployments.

PayPal stands out as a double-verified customer: detected on paypal.com in our crawl data and featured in Datadog's case study (datadoghq.com/case-studies/paypal/) for scaling observability across global payment applications with OpenTelemetry. Forbes is also double-verified: Sameer Patwardhan, Senior VP of Technology at Forbes, publicly stated that 'Datadog's breadth of integrations ensures we have end-to-end visibility' (per Datadog's 1,000 integrations press release at datadoghq.com). Toyota Motor North America has a dedicated testimonial page. Posten Bring, the Norwegian postal service, achieved 99.92% availability and 75% fewer incidents using Datadog (per datadoghq.com/case-studies/posten-bring/).

Age distribution skews toward digital-native companies: 55.6% were founded after 2010. But the 6.8% pre-1960 cohort (including Unilever, founded 1872, and Bayer, 1863) shows that legacy enterprises adopt Datadog for modernization projects, often deploying it on new cloud workloads alongside existing on-premises monitoring.

Sales Signal: The micro-business dominance means the long tail of Datadog's customer base consists of startups and small SaaS companies. For sales teams, the enterprise segment (1,000+ employees) represents only 3.9% of customers but likely 60%+ of revenue. Target companies that have recently migrated to cloud infrastructure (AWS, Azure, GCP) and need consolidated observability.

3. Industry and geographic concentration

Financial services at 26.04% is not just the top industry, it's an outlier. For comparison, most technologies in our database show their top industry between 5-15%. This concentration reflects three factors: regulatory requirements for real-time monitoring, zero-tolerance SLA culture in banking, and Datadog's GovRAMP High 'In Process' status (per datadoghq.com press release) that signals compliance readiness for government-adjacent financial institutions.

The US dominates at 77.5% of all enriched customers. Combined with UK (3.7%) and Canada (2.0%), English-speaking markets account for 83%+. European adoption (France 1.3%, Germany 0.9%, Netherlands 0.9%) remains modest despite Datadog's French-born founders. Brazil shows an interesting cluster at 0.6%, driven by Itau Unibanco and Magazine Luiza detections.

Sales Signal: The financial services concentration represents both opportunity and risk. Companies in banking, insurance, and investment management are pre-qualified Datadog prospects. But the 77.5% US concentration means European and APAC markets remain largely untapped, offering greenfield territory for resellers and partners.

4. Migration patterns

Datadog's migration data reveals a decisive competitive advantage against legacy APM vendors. The New Relic corridor is the largest: 3,950 companies switched from New Relic to Datadog vs. 1,170 moving the opposite direction, a 3.4:1 gain ratio. This mirrors the broader industry narrative of cloud-native platforms displacing legacy monitoring tools.

The Sentry corridor tells a different story. Datadog gained 1,814 companies from Sentry but lost 2,563 to it, a 0.7:1 loss ratio. This makes sense: Sentry specializes in error tracking, which overlaps with only a subset of Datadog's product suite. Companies often adopt Sentry for lightweight error tracking while keeping Datadog for infrastructure monitoring, or they consolidate from Datadog's error tracking module to Sentry's dedicated product.

AppDynamics shows the steepest one-directional flow: 745 companies moved to Datadog with only 21 going the other way, a 35:1 gain ratio. This reflects AppDynamics' declining position in the market following Cisco's acquisition and the shift from on-premises APM to cloud-native observability.

"The 35:1 AppDynamics-to-Datadog ratio is the most lopsided migration corridor I've tracked across 40,000+ technologies. It's not a competitive battle anymore. It's a one-way migration pattern." - Mehmet Suleyman, CEO at TechnologyChecker.io

Sales Signal: Two-sided opportunity exists here. Companies still on New Relic or AppDynamics are strong prospects for Datadog migration services. The Sentry loss ratio also signals that companies using both Datadog and Sentry may benefit from consolidation consulting. Target former AppDynamics shops first, since the migration pattern is already well-established.

5. Technology ecosystem

The tech stack data reveals what Datadog's customer base actually looks like under the hood. AngularJS and Preact (10.7% each) as top JavaScript frameworks suggest a mix of legacy Angular applications (AngularJS 1.x) and modern lightweight Preact deployments. The Intercom overlap at 7.38% confirms that many Datadog users run customer-facing SaaS applications with embedded chat.

Squarespace at 7.56% is unexpected for a monitoring tool. This likely reflects smaller companies that run their marketing site on Squarespace while monitoring their core application infrastructure with Datadog. The Atlassian Cloud overlap (5.98%) aligns with DevOps-mature organizations that use Jira, Confluence, and Bitbucket alongside Datadog's CI/CD visibility product.

Sales Signal: The low ecommerce overlap (Cart Functionality at 4.74%, Shopify at under 1%) confirms Datadog's customer base is SaaS and infrastructure-focused, not retail-driven. Companies using Intercom + AngularJS + Atlassian Cloud represent the archetypal Datadog customer profile. Tools like Grafana show surprisingly low overlap (under 1%), suggesting companies typically choose one or the other, not both.

6. G2 review signals

G2 review sentiment aligns closely with our quantitative data. Ease of use (145 mentions) and user-friendly interface (93 mentions) are the top pros, consistent with Datadog's rapid adoption curve in our detection data. If the platform were hard to set up, we wouldn't see micro-businesses adopting it at 74.4%.

The top con, expensive pricing (99 mentions), combined with pricing complexity (78 mentions), correlates with our migration data. The Sentry loss ratio (0.7:1) likely reflects cost-conscious companies switching to Sentry's simpler, cheaper error tracking. Companies that left Datadog for New Relic (1,170) may also be responding to New Relic's more predictable per-user pricing model.

Sales Signal: Pricing concerns create openings for both Datadog and its competitors. For Datadog sellers, emphasize total cost of ownership (fewer tools = lower total spend). For competitors targeting Datadog customers, lead with pricing transparency and predictable billing. The 78 mentions of pricing complexity suggest that companies want simple, predictable monitoring costs.

Key takeaways

1. Growth phase: accelerating. Datadog's detection footprint grew 3.4x from January 2024 to March 2025. FY2025 revenue hit $3.43B with 28% growth (per investors.datadoghq.com), and FY2026 guidance projects $4.06-$4.10B.

2. Customer archetype: micro-business dominant. 74.4% have 1-10 employees, but enterprise logos (Samsung, JPMorgan, PayPal) validate the platform at scale.

3. Financial services concentration. 26% is an industry outlier that reflects the sector's observability requirements and Datadog's compliance certifications.

4. Winning the New Relic migration. 3.4:1 gain ratio is decisive. The AppDynamics corridor (35:1) is effectively a completed market shift.

5. Sentry is the counterweight. Datadog loses more companies to Sentry than it gains, confirming that dedicated error tracking tools retain appeal even against Datadog's broader platform.

6. US-centric. 77.5% domestic concentration leaves significant international growth potential untapped.

Sales applications

Outreach template: "Hi [Name], I noticed [Company] is currently using [New Relic/AppDynamics] for monitoring. Our data at TechnologyChecker.io shows that 3,950 companies have switched from New Relic to Datadog in the past 5 years. The most common driver is consolidating metrics, logs, and traces into a single platform. Would it be useful to see how similar [industry] companies made the transition?"

Targeting strategy: On TechnologyChecker.io, filter for companies currently using New Relic or AppDynamics in the financial services or software development verticals with 51-500 employees. This segment has the highest migration propensity based on our data.

Competitive angle: For companies evaluating Sentry vs. Datadog, position Datadog's breadth (infrastructure + APM + logs + security) against Sentry's depth in error tracking. Our data shows companies often run both, so the play may be "add Datadog alongside Sentry" rather than "replace Sentry."

Explore the full dataset of 20,437 companies using Datadog and 11,295 enriched company profiles at TechnologyChecker.io.