Technologies
Data Center Management
Companies using Datadog

Companies using Datadog

Datadog is a cloud-based monitoring and analytics platform that provides comprehensive observability for modern applications and infrastructure, featuring real-time metrics collection, log management, distributed tracing, and customizable dashboards.
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Companies using Datadog

Technology
is any of
Datadog Technology Logo/Icon
Datadog
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Actalent
United States Country Flag Icon
United States
-
19,081
Amaris Consulting
Switzerland Country Flag Icon
Switzerland
-
4,604
Amazon Web Services
China Country Flag Icon
China
-
15,708
BairesDev
United States Country Flag Icon
United States
$105M
13,770
Carvana
United States Country Flag Icon
United States
$11.1B
500
Confidential
India Country Flag Icon
India
-
1,393
DeepOcean
Norway Country Flag Icon
Norway
$458.8M
15,101
Dice
United States Country Flag Icon
United States
-
203,756
United Kingdom Country Flag Icon
United Kingdom
$45.4B
199,680
La Maison Bleue
France Country Flag Icon
France
$7M
14,041
Showing 10 of
26,421
results
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2,643

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Unlock the full database of
26,421
companies actively hiring with
Datadog
technology, including firmographic data,
35,268
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Datadog Competitor Technologies

No. of companies use the technology

Datadog Complimentary Technologies

No. of companies use the technology

Developers using Datadog

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Scott Bessler
Software Engineer
United States Country Flag Icon
United States
CGI Company Logo
CGI
22 years
Chris C
Senior Software Engineer II
United Kingdom Country Flag Icon
United Kingdom
IBM Company Logo
IBM
19 years
Ives Stoddard
Software Engineering Manager
United States Country Flag Icon
United States
Citi Company Logo
Citi
16 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Adrian Maceiras
Lead Engineer
United Kingdom Country Flag Icon
United Kingdom
Amazon Web Services Company Logo
Amazon Web Services
8 years
Jocelyn Drean
Senior Technical Support Engineer
France Country Flag Icon
France
Charles Schwab Company Logo
Charles Schwab
14 years
mathieu
VP Site Reliability
France Country Flag Icon
France
Autovia Company Logo
Autovia
4 years

Want access to the complete developers list?

Unlock the full contact information of
35,268
developers actively working with
Datadog
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
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What would you like to do with company-level technographics data that are using Datadog?

Build my TAM account list or assign accounts to my sales team

Transform your desired technology user data into actionable sales territories by combining firmographic ICP criteria with real-time technology adoption signals. Traditional account assignment based solely on company size and industry leaves money on the table—successful DevTool sales teams prioritize accounts showing active technology expansion signals.

Strategic account prioritization framework

Building an effective Total Addressable Market (TAM) requires more than basic firmographic filters. Companies using your desired technology represent varying levels of buying intent depending on their implementation stage, team growth, and technology stack evolution. Learn our complete framework for building DevTool ICP account lists to establish the foundation for strategic account segmentation.

Confluent ICP scoring example illustrating core, broader, and relevant universe tiers based on Kafka adoption and data streaming scale

Standard ICP criteria—geography, industry, company size, revenue—only provide baseline qualification. High-performing sales teams layer technology hiring signals on top of firmographic data to identify accounts actively expanding their technical capabilities. Companies hiring  for your desired technology engineers or architects signal active investment in the technology stack, indicating higher purchase intent and budget availability.

In-market account identification and assignment

Priority account assignment should factor in recent technology hiring patterns as a proxy for market timing. Companies posting jobs for Redis engineers, Kubernetes specialists, or React developers demonstrate active technology expansion—making them significantly more likely to evaluate complementary tools within 90 days.

Our LinkedIn outreach playbook details the specific process for identifying and assigning these in-market accounts to sales teams. This approach increases meeting acceptance rates by 40% compared to generic outbound because prospects are already in active buying mode.

Territory assignment best practices

Tier 1 accounts: Companies using your desired technology with recent hiring activity for related roles. These accounts get immediate sales attention with personalized outreach referencing their specific technology initiatives and hiring needs.

Tier 2 accounts: Established desired technology users without recent hiring signals but strong firmographic fit. Assign these accounts for longer-term nurture campaigns and quarterly check-ins to monitor technology expansion signals.

Tier 3 accounts: Companies using your desired technology with weaker ICP fit or unclear expansion signals. Route these accounts to inside sales or marketing-qualified lead campaigns until stronger buying signals emerge.

Refresh account assignments monthly based on new hiring signals and technology adoption data. Companies can move between tiers quickly as their technology needs evolve, and sales territories should reflect these dynamic market conditions rather than static demographic assignments.

The combination of your desired technology usage data and hiring intelligence creates a predictive framework for sales success, ensuring your team focuses energy on accounts most likely to convert within the current quarter.

Learn more

Run marketing Campaigns

Leverage your desired technology user data to create targeted campaigns across three distinct audience levels: companies, developers (practitioners), and economic buyers. Each audience type requires different messaging, channels, and campaign strategies to maximize conversion rates.

Multi-level audience targeting

Companies: Target organizations using your technology of choice for account-based marketing approaches. Focus on company-level signals, firmographics, and technology stack intelligence to build high-intent prospect lists.

Developers (contacts): Reach practitioners who directly implement and use chosen technology. These technical decision-makers influence tool adoption and can become internal champions for your solution.

Economic Buyers (contacts): Target executives and budget holders at companies using your desired technology. While they may not use the technology directly, they control purchasing decisions and strategic technology investments.

Campaign strategies by audience type

ABM Google/LinkedIn Ads to your TOFU audience: Run account-based display campaigns targeting companies using containerization technologies like Docker or Kubernetes. Create awareness-stage content about DevOps optimization, infrastructure costs, or developer productivity to capture early-stage interest from decision-makers.

Invite developers to topical webinars: Host technical webinars for Redis users about database optimization, caching strategies, or microservices architecture. Developers using Redis are likely interested in performance engineering topics that showcase your platform's capabilities in a educational, non-sales context. Leading DevTools like Galileo and Camunda use this strategy effectively—see how they leverage expert-led sessions to grow their TOFU audience by educating and nurturing developer communities around emerging technologies.

LinkedIn outbound campaigns to developers or economic buyers: Execute targeted LinkedIn outreach to practitioners and buyers at companies using complementary technologies. See how Kubegrade leveraged Kubernetes user data to run successful LinkedIn and email campaigns, or follow our proven LinkedIn outreach playbook that helped Unstructured book meetings with economic buyers.

Competitor email campaigns based on competitor technology: Target companies using competing solutions like MongoDB (if you're in the database space) or Elasticsearch (for search solutions). Craft messaging around migration benefits, performance comparisons, or feature gaps that position your solution as the superior alternative.

Complimentary technology campaigns: Run campaigns to companies using GraphQL (if you provide API tools) or React (for frontend development solutions). Focus messaging on how your product enhances their existing technology investments rather than replacing them—creating additive value propositions.

Technical content nurture campaigns to developers: Send regular technical newsletters to PostgreSQL users featuring database optimization tips, query performance guides, or architectural best practices. This builds relationship equity with practitioners who influence purchasing decisions while demonstrating your platform's technical depth.

Campaign execution framework

Each campaign type works best when aligned with the prospect's technology maturity and buying stage. Companies actively expanding their technology usage often have budget allocated for complementary solutions, making them higher-intent prospects than those just beginning adoption.

Combine multiple campaign types for maximum impact: start with educational content to developers, then retarget engaged prospects with ABM campaigns to economic buyers at the same companies. This multi-touch approach increases conversion rates while building relationships across the entire buying committee.

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How to target companies using Datadog

How to build your target account list?

Start by building your Ideal Customer Profile (ICP) universe using technology signals as a foundation. Companies using

Datadog

often share similar technical maturity and infrastructure needs, making them prime candidates for developer-focused solutions. Learn our complete framework for building DevTool ICP account lists to maximize your targeting precision.

Customize this data by filtering for geography, industry, company size, revenue, technology usage, job positions and more. Our platform provides technology intelligence at both company and individual levels—categorized into developers/practitioners and economic buyers within those organizations. This dual-layer approach enables precise targeting whether you're running ABM campaigns at the account level or personalized outreach to specific contacts.

Download your refined lists in Excel or CSV format, sync directly to your CRM (HubSpot, Salesforce), or use our APIs to send data to your warehouse. For individual-level targeting, explore our

developers using
Datadog

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Datadog technology?

Set up automated alerts to capture companies as they adopt

Datadog

in real-time.

This gives your sales team first-mover advantage when prospects are actively evaluating and implementing new solutions—the optimal time for outreach.

Configure alerts based on your specific ICP criteria: get notified when companies in your target geography, industry, or size range start using your target technology. Alerts are delivered directly to your inbox with complete company and contact intelligence, enabling immediate, contextual outreach while the technology adoption signal is fresh.

How to sync this data with my CRM or sales stack?

Export technology user data seamlessly into your existing sales and marketing infrastructure. Direct CRM integrations with HubSpot and Salesforce automatically sync company and contact records with technology intelligence, enriching your existing database.

Use our API endpoints to send

Datadog

user data directly to your data warehouse, enabling advanced segmentation and analytics across your entire revenue stack. This approach works particularly well for companies running sophisticated ABM programs or complex lead scoring models.

The targeting strategy differs significantly between contact-level outreach and account-based campaigns. For individual targeting, focus on practitioners who directly use

Datadog

with personalized technical messaging. For ABM approaches, target economic buyers at companies using

Datadog

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Datadog?

Datadog is a cutting-edge technology that falls under the category of Application Performance Monitoring (APM) and Observability Platforms. It provides comprehensive monitoring and analytics capabilities designed to give organizations complete visibility into their cloud environments, applications, and infrastructure. Founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, Datadog has evolved from a simple infrastructure monitoring tool into a full-stack observability platform that helps DevOps teams, engineers, and business stakeholders understand the performance and health of their entire technology stack.

Technically, Datadog operates through a lightweight agent architecture that collects metrics, traces, and logs from various sources. The platform integrates with over 450 technologies and cloud services through pre-built integrations, allowing for seamless data collection across diverse environments. Its unified platform approach combines several key monitoring capabilities:

  • Infrastructure monitoring for servers, containers, and cloud services
  • APM for tracking application performance and dependencies
  • Log management for centralized log collection and analysis
  • Network performance monitoring
  • Real user monitoring (RUM) for frontend performance
  • Security monitoring

What sets Datadog apart is its ability to correlate data across these different dimensions, enabling users to quickly troubleshoot complex issues.

In terms of market adoption, Datadog has become a dominant player in the observability space, serving thousands of customers globally. The platform is particularly valuable in cloud-native and microservices environments where traditional monitoring approaches fall short. As organizations continue to embrace digital transformation and complex distributed systems, Datadog's comprehensive observability capabilities position it well for continued growth. The company continues to expand its feature set, with recent additions including database monitoring, continuous profiler, and AI-powered anomaly detection.

What is the source of this data?

We aggregate developer & company technographics intelligence from multiple proprietary and partner sources. Our platform monitors job postings across millions of companies—tracking listings on career sites, job boards, and recruitment platforms to identify technology adoption patterns and internal tool usage. This hiring signal data reveals what technologies organizations are actively investing in.

Beyond job data, Reo.Dev maintains a proprietary database of 30+ million developers and tracks activity across public GitHub repositories to capture real-time technology usage signals.

We supplement this with GDPR-compliant datasets from trusted data broker partners and visitor intelligence platforms, creating a comprehensive view of both company-level tech stacks and individual developer behaviors.

This multi-source approach ensures you're working with the most accurate, up-to-date company technographics & developer intelligence available.

How often is the data updated?

Our platform refreshes data daily, giving you access to the latest developer and technology intelligence. This continuous update cycle ensures your go-to-market teams are working with current information that reflects real-time market movements, emerging technology adoption patterns, and fresh hiring signals from across the industry.

What companies use Datadog?

Some of the companies that use Datadog include Actalent, Amaris Consulting, Amazon Web Services, BairesDev, Carvana, Confidential, DeepOcean, Dice, EY, La Maison Bleue, and many more. You can find a complete list of 26,421 companies that use Datadog on Reo.Dev.

Who uses Datadog? Which industries use Datadog?

Datadog is used by a diverse range of organizations across various industries, including "Financial Services", "E-commerce", "Technology and Software", "Media and Entertainment", "Healthcare", and "Telecommunications". For a comprehensive list of all industries utilizing Datadog, please visit Reo.Dev.

How many customers does

Datadog
have?
As of now, we have data on
26,421
companies that use
Datadog
.

Where is Datadog adoption highest worldwide? In which countries Datadog is used the most?

According to usage insights, Datadog sees the strongest adoption across several major tech hubs. United States leads with 9,252 companies using it, followed by United Kingdom (1,651) and India (1,088).Other regions with significant Datadog usage include France (920), Canada (660), Germany (544), and Netherlands (259).Overall, Datadog enjoys widespread implementation globally, powering applications across diverse industries and regions.

How to find companies that use

Datadog
?

Visit reo.dev and use Reo.Dev's audience builder to search for companies using your desired technology—our platform analyzes job postings, GitHub repositories, and proprietary developer data to identify the  technology stack for any given organization. Book a demo with us today to get started.

How to get an updated list of companies that use

Datadog
?

Reo.Dev provides real-time access to companies using your desired technology of choice and thousands of other developer technologies. Our platform continuously tracks technology adoption signals from job postings, GitHub activity, and proprietary developer data to give you the most current view of which organizations are actively using the technologies in their tech stack. Simply search for your desired technology within our audience builder to generate a targeted list of companies—complete with firmographic data, hiring signals, and tech stack intelligence. Book a demo with us today to get access to the latest data.