Datadog
Datadog is a publicly traded (Nasdaq: DDOG) cloud-native observability and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, who met at Ecole Centrale Paris and worked together for nine years before starting the company.
Profile
Unified cloud monitoring, observability, and security platform that aggregates metrics, logs, traces, and security signals from infrastructure, applications, and data pipelines.
Datadog is a publicly traded (Nasdaq: DDOG) cloud-native observability and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, who met at Ecole Centrale Paris and worked together for nine years before starting the company. Datadog went public in September 2019, raising $648 million at an $8.7 billion valuation; as of May 2026, the company's market cap stands at $71.25 billion. The platform unifies infrastructure monitoring, application performance monitoring, log management, real user monitoring, synthetic monitoring, and cloud security posture management into a single pane of glass.
In 2025, Datadog delivered 28% year-over-year revenue growth, reaching $3.43 billion in annual revenue, with 603 customers hitting $1 million+ in annual recurring revenue (up 31% year-over-year) and 4,310 customers at $100k+ ARR. The company employs approximately 8,100 to 10,000 people as of early 2026. Strategic focus has shifted toward AI-powered automation, with the 2025 launch of Bits AI SRE—an autonomous agent that investigates infrastructure alerts and surfaces root cause in minutes—alongside Bits AI Dev Agent and Bits AI Security Analyst.
The company made three acquisitions in 2025: Quickwit (January, a cloud-native log search engine), Metaplane (April, data observability and anomaly detection), and Eppo (May, feature flagging and experimentation platform valued at $220 million). These moves signal Datadog's expansion beyond infrastructure observability into data and product analytics. Net revenue retention in the mid-110s suggests healthy expansion within existing customers, though growth has decelerated from historical highs. Datadog projects 2026 revenue of $4.06 billion to $4.10 billion, anchored on further AI agent adoption and cross-product bundling.
Products by Datadog
Who buys this
- Financial services and fintech firms (26% of customer base) running mission-critical payment and trading systems
- Large enterprises (1000+ employees) in tech, healthcare, and automotive requiring multi-region deployment and data residency compliance
- SaaS and software development teams building AI-native applications requiring real-time observability and experimentation capabilities
- Data teams and analytics organizations managing data pipelines and warehouse quality
Publicly disclosed clients
- PayPal
- Samsung
- JPMorgan Chase
- Shell
- Uber Freight
- Porsche Informatik
- Toyota Motor North America
- Autodesk
Strengths and what to watch
Strengths
- Dominant unified observability platform with 4,310 $100k+ ARR customers and $3.43B annual revenue, capturing ~90% of revenue from customers spending six figures
- AI-powered autonomous agents (Bits SRE, Dev, Security Analyst) reducing incident response time from hours to minutes, tested in 2,000+ customer environments
- High net revenue retention in mid-110s range indicates strong product-market fit and multi-product adoption, despite 28% YoY growth deceleration from pandemic highs
Watch for
- Acquisition spree (three startups in 2025) creates product integration risk and customer retention uncertainty around Metaplane and Eppo brand migrations
- Net revenue retention plateau in 110s and 20–23% forward growth guidance suggest market maturation and potential headwind from pricing sensitivity in cost-conscious enterprises
- Aggressive AI roadmap positioning (Bits agents, Toto time-series model, strategic partnership with Sakana AI) requires sustained R&D spending and competitive parity with established players like New Relic and Dynatrace
Recent moves
Key Information
- Industry
- Log Analytics
- Founded
- 2010
Frequently Asked Questions
What is Datadog?
Datadog is a cloud-native observability and security platform founded in 2010. Publicly traded on Nasdaq (ticker: DDOG) with a $71.25 billion market cap as of May 2026, it unifies infrastructure monitoring, application performance monitoring, log management, and security posture management into a single interface.
How much revenue did Datadog make in 2025?
In 2025, Datadog generated $3.43 billion in annual revenue, representing 28% year-over-year growth. The company serves 603 customers with annual recurring revenue exceeding $1 million, and 4,310 customers at $100,000 or more ARR, demonstrating strong enterprise adoption and expansion revenue.
What does Datadog monitor?
Datadog monitors infrastructure, applications, and data pipelines by aggregating metrics, logs, traces, and security signals. It provides infrastructure monitoring, application performance monitoring, log management, real user monitoring, synthetic monitoring, and cloud security posture management, delivering complete visibility into cloud environments.
What is Datadog Bits AI?
Bits AI is Datadog's suite of autonomous agents for SRE, development, and security teams. Bits AI SRE investigates infrastructure alerts and identifies root causes in minutes, while Bits AI Dev Agent and Security Analyst automate additional operational tasks, reducing incident response time significantly.
What major companies use Datadog?
Notable Datadog customers include PayPal, JPMorgan Chase, Shell, Samsung, Uber Freight, Toyota Motor North America, Autodesk, and Porsche Informatik. The platform is widely adopted by financial services (26% of customer base), large enterprises, SaaS teams, and data analytics organizations managing mission-critical systems.
What companies did Datadog acquire in 2025?
Datadog completed three strategic acquisitions in 2025: Quickwit in January (cloud-native log search), Metaplane in April (data observability and anomaly detection), and Eppo in May (feature flagging and experimentation). These expand Datadog's reach from infrastructure monitoring into data analytics and product experimentation.
How Datadog compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Datadog
- Positioning
- Unified cloud monitoring, observability, and security platform that aggregates metrics, logs, traces, and security signals from infrastructure, applications, and data pipelines.
- Customer segments
- Financial services and fintech firms (26% of customer base) running mission-critical payment and trading systems
- Strengths
- Dominant unified observability platform with 4,310 $100k+ ARR customers and $3.43B annual revenue, capturing ~90% of revenue from customers spending six figures
- Watch for
- Acquisition spree (three startups in 2025) creates product integration risk and customer retention uncertainty around Metaplane and Eppo brand migrations
- Recent moves
- Datadog launches Bits AI SRE agent to general availability, achieving twice the speed and broader data access for automated incident investigation
Dynatrace
- Positioning
- Enterprise observability platform targeting Fortune 500 and large cloud-native companies with unified monitoring across hybrid and multicloud environments.
- Customer segments
- Large enterprises and managed service providers in financial services, tech, and retail, with platform engineering or SRE teams as buyers.
- Strengths
- Davis causal AI that pinpoints root cause automatically without manual alert correlation, a differentiator cited consistently by enterprise operations customers.
- Watch for
- Pricing complexity: consumption costs scale unpredictably by data ingestion volume and host count; idle workflows continue to bill.
- Recent moves
- Acquired Bindplane for OpenTelemetry-native telemetry pipeline management, closing April 2026, expanding data collection across hybrid environments.
New Relic
- Positioning
- Full-stack observability platform taken private by Francisco Partners and TPG in 2023, competing on consumption pricing against per-host vendors.
- Customer segments
- Mid-market and enterprise engineering teams in retail, SaaS, and financial services prioritizing cost-predictable observability through developer-led evaluation.
- Strengths
- Consumption-based pricing with no per-host fees has driven 1,866 documented customer migrations from Dynatrace and AppDynamics.
- Watch for
- Private equity ownership since November 2023 raises concerns about R&D investment depth relative to financial engineering toward an exit.
- Recent moves
- Launched Agentic AI Monitoring and MCP Server with Microsoft Azure integrations in November 2025, targeting enterprise MTTR reduction.
Cisco Splunk
- Positioning
- Enterprise security and observability portfolio bundled into Cisco networking and hardware stack after $28 billion acquisition closed March 2024.
- Customer segments
- Large enterprises and public sector organizations running Cisco-native infrastructure, with security operations and ITOps as primary buyers.
- Strengths
- SIEM and log management heritage across 7,000-plus enterprise accounts, now bundled with Cisco networking products for consolidated procurement.
- Watch for
- Post-acquisition pricing consolidation: 22% of surveyed customers cited likelihood to switch to alternatives following Cisco integration.
- Recent moves
- Cisco announced intent to acquire Galileo for AI observability in April 2026, extending Splunk Observability Cloud into agent monitoring.
Sources
- www.datadoghq.com — Product portfolio, market leadership recognition (Forrester AIOps, Gartner Magic Quadrant), Bits AI SRE announcements
- www.crunchbase.com — Founders (Olivier Pomel, Alexis Lê-Quôc), IPO details, funding history
- investors.datadoghq.com — 2025 revenue ($3.43B), employee count (8,100 as of Dec 31, 2025), $100k+ ARR customers (4,310), $1M+ ARR customers (603), net revenue retention mid-110s, 2026 guidance
- techcrunch.com — Eppo acquisition details ($220M valuation), strategic rationale for experimentation platform
- techcrunch.com — Metaplane acquisition timing (April 2025), data observability strategic expansion, Metaplane founders and prior funding
- www.datadoghq.com — Quickwit acquisition details, open-source strategy, data residency use cases
- www.datadoghq.com — Named customers (PayPal, Samsung, Shell, Uber Freight, Porsche Informatik, Toyota Motor North America, Autodesk), customer testimonials