What Datadog does

Datadog, Inc. (NASDAQ: DDOG), headquartered in New York and founded in 2010, operates a unified, cloud-native monitoring and security platform that serves approximately 33,200 customers globally — including technology enterprises, financial institutions, gaming and telecommunications firms, AI-native companies, and U.S. federal agencies. The platform is designed for organizations running distributed, cloud-native, and AI workloads that require end-to-end visibility across infrastructure, applications, logs, real-user experience, and security signals. Named enterprise customers include Anthropic (reportedly on an eight-figure annualized contract), Krafton, Banco Itaú Unibanco, Vanguard, and T-Mobile.

The platform is organized around six functional pillars — Observability, Security, Digital Experience, Software Delivery, Service Management, and AI — supported by a proprietary Datadog Agent that ingests metrics, traces, logs, and security signals and integrates with OpenTelemetry. Datadog's product surface spans more than 750 native integrations, with major product lines including Infrastructure Monitoring, APM, Log Management, Cloud SIEM, Cloud Security, Real User Monitoring, Synthetic Monitoring, and AI-specific offerings such as GPU Monitoring, LLM Observability, AI Guard, and a suite of eight Bits AI autonomous agents (SRE, Code, Security Analyst, Investigation, Release, Testing, Remediation, and Infrastructure Operations). Technical differentiators include Bring Your Own Cloud (BYOC) for data sovereignty, Federated Log Search across Databricks, ClickHouse, and Snowflake, and Watchdog, an ML-driven anomaly engine. Acquired capabilities — Cloudcraft (visualization), Seekret (API observability), Hdiv Security (application security), CoScreen (collaboration), Ozcode (live debugging), Metaplane (data observability), Eppo (experimentation), Propolis, and Quickwit — have been integrated into the platform.

Datadog generates revenue primarily through a consumption-based SaaS subscription model that scales with customer cloud and AI usage, complemented by a self-serve free trial, a freemium tier, and enterprise quote-based annual contracts. The go-to-market combines product-led growth via direct signup with an enterprise direct-sales motion, supplemented by the Datadog Partner Network (DPN) and channel partners such as Carahsoft for U.S. federal sales and MegazoneCloud in APJ. Reported financial scale includes $3.43B in FY2025 revenue (28% YoY growth), $1.006B in Q1 2026 (32% YoY growth, the fourth consecutive quarter of growth acceleration), $4B+ total ARR, ~80% gross margins, $3.47B in net cash, 120%+ net revenue retention, and 4,550 customers spending $100k+ annually. Approximately 56% of customers use four or more Datadog products, and 22 AI-native customers each spend more than $1M annually.

Name

Datadog

Legal name

Datadog, Inc.

Website

https://datadoghq.com

Company type

Public

Founded year

2010

Operating status

Operating

Headcount range

5,001–10,000 employees

Short description

Datadog is a public SaaS provider of a unified observability and security platform that monitors infrastructure, applications, logs, AI workloads, and security signals for ~33,200 customers worldwide, including Anthropic, financial institutions, and U.S. federal agencies.

Ownership category

akta.pro rank

Product category

Cloud Infrastructure Monitoring and Observability Platform

NAICS

Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Cloud Data Security (DSPM, Cloud DLP) (HDADADAJ)

akta.pro secondary industries

SaaS Security Posture Management (SSPM) (HDADADAI), Data Access Governance & Entitlement Management (DSPM / CIEM-for-Data) (HDADAFAG)

Keywords

• Cloud infrastructure monitoring
• Application performance monitoring
• Log management analytics
• Cloud security posture
• Ai workload observability

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices4 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS subscription with usage-based consumption pricing: Primary revenue stream; consumption-based pricing model that scales directly with customer cloud and AI usage growth. Datadog reported 29.5% annual recurring revenue growth and net revenue retention above 120%, demonstrating strong land-and-expand dynamics.
2. Multi-product platform expansion revenue: Cross-sell revenue as 56% of customers used four or more Datadog products in Q1 fiscal 2026 (up from 51% a year earlier), enabling expansion within the installed base and an estimated 22 AI-native customers spending over $1 million annually.
3. Marketplace and professional services: Revenue from Datadog Marketplace partner offerings, premium support, services and enablement packages, and certification programs targeting enterprise buyers.

Pricing tiers

Go-to-market motion1 record

Distribution channels5 records

Marketing channels7 records

Core offering

Datadog provides a unified, cloud-native SaaS observability and security platform that ingests metrics, traces, logs, and security signals through its proprietary Datadog Agent, OpenTelemetry support, and 700+ turnkey integrations. The platform spans infrastructure monitoring, APM, log management, real user and synthetic monitoring, cloud SIEM, code and cloud security, incident response, and AI/LLM observability, with AI-driven engines such as Watchdog and the Bits AI agents for anomaly detection, investigation, and autonomous remediation.

Product overview

Datadog offers a single unified SaaS platform for monitoring and security, organized around six core pillars — Observability, Security, Digital Experience, Software Delivery, Service Management, and AI — supported by a common set of Platform Capabilities (Alerts, Dashboards, Notebooks, API, Integrations, Marketplace, OpenTelemetry support, CoScreen, Governance Console). The Observability pillar includes Infrastructure Monitoring, Network Monitoring, Container Monitoring, Kubernetes Autoscaling, Serverless, Cloud Cost Management, Cloudcraft, Storage Management, GPU Monitoring, Application Performance Monitoring (APM), Universal Service Monitoring, Continuous Profiler, Dynamic Instrumentation, Database Monitoring, Data Streams Monitoring, Quality Monitoring, Jobs Monitoring, Log Management (with BYOC Logs), Sensitive Data Scanner, Audit Trail, Observability Pipelines, and Error Tracking. The Security pillar unifies Code Security (SAST, IAST, Software Composition Analysis, IaC Security, Secret Scanning), Cloud Security (CSPM, CIEM, Vulnerability Management, Compliance), Cloud SIEM, Workload Protection, and App and API Protection. Digital Experience covers Browser/Mobile Real User Monitoring, Product Analytics, Experiments, Session Replay, Synthetic Monitoring, Mobile App Testing, and Continuous Testing. Software Delivery delivers Internal Developer Portal, CI Visibility, Test Optimization, IDE Plugins, DORA Metrics, Feature Flags, Code Coverage, and AI Impact. Service Management provides Incident Response, On-Call, Status Pages, Case Management, Software Catalog, SLOs, Event Management, App Builder, Bits Investigation, and Watchdog. The AI pillar adds Agent Observability, AI Integrations, Bits AI Agents, Bits Chat, Bits Agent Builder, Bits Code, Bits Security Analyst, MCP Server, Pup CLI, Agent Directory, and GPU Monitoring. Acquired capabilities integrated into the platform include Cloudcraft (cloud visualization), Seekret (API observability), Hdiv Security (application security), CoScreen (collaboration), Ozcode (live debugging), and Metaplane (data observability). Bits AI autonomous agents and AI Guard operate across these pillars for autonomous incident detection, remediation, and AI-security enforcement.

Differentiator

Problem solved

Functional benefit

Brands

• Cloudcraft: Cloud infrastructure visualization and design product (acquired 2022).
• CoScreen
• Watchdog
• Bits AI
• Datadog Security Labs

Products and services

• Infrastructure Monitoring End-to-end visibility into servers, containers, hosts, and cloud resources with metrics, hostmaps, and process monitoring; the foundational observability layer for the Datadog platform.
• Application Performance Monitoring (APM) Distributed tracing and APM that traces requests end-to-end across distributed systems, with auto-generated service overviews, error-rate and latency-percentile alerting, and open-source tracing libraries.
• Log Management Indexes, searches, and analyzes logs at scale with automated tagging and correlation to metrics, traces, and RUM; supports BYOC Log Management and federated log search across Databricks, ClickHouse, and Snowflake.
• Cloud SIEM Security Information and Event Management for cloud workloads, ingesting logs and detecting threats using Datadog's security analytics and Watchdog anomaly detection.
• Cloud Security Unified cloud security including Cloud Security Posture Management (CSPM), Cloud Infrastructure Entitlement Management (CIEM), Vulnerability Management, and Compliance against standards such as CIS Benchmarks.
• Code Security Unified code-security suite including Software Composition Analysis (SCA), Static Code Analysis (SAST), Runtime Code Analysis (IAST), IaC Security, and Secret Scanning.
• App and API Protection Application and API runtime protection (WAAP) with threat detection, blocking, and integration into developer workflows; expanded via the Seekret acquisition's eBPF-based API observability capabilities.
• Workload Protection Runtime threat detection for cloud workloads including containers and Kubernetes, providing visibility into process, file, and network activity.
• Database Monitoring Deep visibility into database performance and query-level telemetry for Postgres, MySQL, SQL Server, Oracle, DocumentDB, MongoDB, and ClickHouse, with DBM-to-traces correlation.
• Network Monitoring
• Real User Monitoring (Browser and Mobile)
• Synthetic Monitoring
• Incident Response
• Internal Developer Portal
• Cloud Cost Management
• GPU Monitoring
• Agent Observability
• Bits AI Agents
• Bits Code
• Watchdog
• Cloudcraft
• CoScreen
• CI Visibility
• Serverless Monitoring
• Data Observability (Quality Monitoring and Jobs Monitoring)

Quantifiable outcome

• Reduces security investigation time by up to 93% via AI-assisted investigation
• +4 more outcomes

Named customers6 records

Segments7 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration32 records

AI capability16 records

Feature8 records

Partnerships

Eight partnerships are on record, tiered core and flagship.

• OktacoreTechnology or Integration · 24 June 2026Listed as an early adopter in Okta's Cross App Access ecosystem, which extends OAuth to provide standardized identity controls for AI agent-to-app and app-to-app connections.
• Nebius AI CloudcoreTechnology or Integration · 15 June 2026Integration that streams logs from Nebius AI Cloud services (compute, Kubernetes, applications, PostgreSQL, MLflow, Kubernetes control-plane events) directly into Datadog Log Management. Available via the Datadog Integrations Catalog as an alternative to Nebius's built-in observability tools.
• MegazoneCloudflagshipStrategic or Co-development Partner · 8 June 2026Named 2026 Datadog Partner Network (DPN) Partner of the Year for the APJ region, with MegazoneCloud's dedicated Datadog team expanded to more than 20 members and nearly doubled Datadog-related revenue over the past year. Signed the first Strategic Collaboration Agreement (SCA) between Datadog and an APJ DPN partner. Fourth consecutive year winning the APJ Partner of the Year award.
• OpenTelemetry (CNCF)coreTechnology or Integration · 21 May 2026Datadog integrated and supports OpenTelemetry in its developer tools and cloud services, coinciding with OpenTelemetry's graduation from the Cloud Native Computing Foundation. Datadog offers the DDOT Collector and semantic mapping from OpenTelemetry into its platform.
• AnthropicflagshipTechnology or Integration · 6 May 2026Featured as an integration partner at Anthropic's Code with Claude 2026 conference, alongside GitHub, Vercel, and Bun, with Managed Agents, proactive workflows, and partner integrations showcased.
• CarahsoftflagshipChannel Partner/ Reseller/ DistributorReseller and government contracting partner enabling Datadog's FedRAMP High authorized platform to be procured by U.S. federal agencies, expanding access to federal workloads.
• ChainguardcoreTechnology or IntegrationPartnership around container security highlighted as a key growth driver for Datadog's AI observability capabilities in 2026.
• Databricks, ClickHouse, SnowflakecoreTechnology or IntegrationFederated log search capabilities in Datadog's Log Explorer enable users to query data across Databricks, ClickHouse, and Snowflake alongside Datadog's own telemetry without requiring data migration.

Scale indicators16 records

Recent moves8 records

Expansion highlights9 records

Direct peers

• Splunk (Cisco): Log analytics, observability, and SIEM platform now part of Cisco. Overlaps directly with Datadog's Log Management, Cloud SIEM, and APM offerings and increasingly bundles into Cisco's networking and security stack.
• Dynatrace: Enterprise observability and application performance platform with AI-driven automation (Davis AI). Direct competitor to Datadog's APM, infrastructure monitoring, and AIOps offerings with similar consumption-based pricing.
• New Relic: Unified observability platform spanning APM, infrastructure, logs, and browser monitoring. Directly competes with Datadog in mid-market and enterprise segments after its transition to consumption pricing.
• Grafana Labs: Open-source observability stack (Grafana, Loki, Mimir, Tempo, Pyroscope) plus commercial Grafana Cloud offering. Competes with Datadog on dashboards, logs, metrics, and traces, especially in cost-conscious and OSS-first deployments.
• Sumo Logic: Cloud-native log management and observability platform with security analytics. Directly competes with Datadog's Log Management and Cloud SIEM offerings, especially for security-led buyers.
• Elastic (Elastic Observability): Search-powered observability and security platform built on the Elastic Stack. Competes directly with Datadog's log management, APM, and SIEM products and is often deployed self-hosted for cost-sensitive customers.

Emerging players

• Chronosphere: Cloud-native observability platform focused on cardinality control and cost management at scale. Competes with Datadog's infrastructure and APM products for large Kubernetes-native workloads.
• Honeycomb: Observability platform built around high-cardinality event data and tracing. Competes with Datadog APM for engineering teams that prefer structured events over traditional metrics.

Broad incumbents

• ServiceNow Cloud Observability (Lightstep): ServiceNow's observability portfolio (including acquired Lightstep) bundled into its broader ITSM and workflow platform. Competes with Datadog for enterprise buyers consolidating observability and incident response into a single platform.
• Amazon CloudWatch: AWS-native monitoring and observability service bundled with AWS accounts. Competes with Datadog on AWS workloads, particularly where customers choose native tools over third-party platforms to control cost.

Market position

Strengths4 records

Weaknesses5 records

Competitive moat7 records

Key risks6 records

Key highlights6 records

Customer concentration

• Instagraminstagram.com/datadoghq
• Xx.com/datadoghq
• Facebookfacebook.com/datadoghq
• LinkedInlinkedin.com/company/datadog

Compliance7 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles14 records

Subsidiaries6 records

Funding overview

Funding rounds10 records

Investors15 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A18 records

Investments12 records

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Datadog