Datadog
Cloud observability software for infrastructure, applications, logs, and telemetry.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Datadog, Inc.
- Entity type
- COMPANY
- Founded
- 2010
- Headquarters
- 620 Eighth Avenue, 45th Floor, New York, New York 10018
- Company size
- >5,000
- Market role
- B2B SaaS Provider
- Ticker
- DDOG
- Official website
- datadoghq.com
What Datadog does
Datadog operates a B2B SaaS platform that centralises observability data from customer environments into a unified interface for monitoring, alerting, analytics, and troubleshooting. It creates value by reducing operational blind spots across modern software stacks and then expands account value through modular product adoption across infrastructure monitoring, APM, log management, network monitoring, observability pipelines, security, and adjacent analytics capabilities.
Category differentiation
Datadog is a B2B observability and monitoring software vendor, not a consumer data broker or advertising technology platform. It competes with infrastructure and application monitoring vendors rather than media, martech, or analytics agencies.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Datadog is a US-listed B2B software company providing a cloud-based observability and monitoring platform for infrastructure, applications, logs, networks, and related telemetry. Its products are used by DevOps, SRE, engineering, IT operations, platform, and security teams to monitor distributed systems, troubleshoot incidents, and improve performance across cloud, hybrid, and on-premise environments. The company primarily makes money through SaaS subscriptions combined with usage-based charges tied to monitored hosts, resources, log volumes, telemetry ingestion, and data processing. Its customer base is business users rather than consumers, ranging from cloud-native software teams to larger enterprises running complex multi-environment infrastructure. Recent acquisitions indicate expansion beyond core observability into AI observability, experimentation, and product analytics.
Company news briefing
Briefing updated:
Datadog’s valuation remains under pressure amidst broader SaaS market volatility and earnings-related sell-offs, though the company continues to solidify its footprint in AI agent observability and enterprise monitoring. Notably, OpenAI integrated Datadog as a connected data source within ChatGPT Work's new Data Agent, enabling natural language querying and dashboards. Furthermore, industry analysis highlights Datadog's expanding role in providing critical tracing, cost attribution, and drift detection as organizations scale autonomous AI agents.
Business model & monetisation
Datadog uses a hybrid commercial model centred on SaaS subscription access plus consumption-based billing. Core monitoring products are sold on recurring contracts, while pricing also scales by hosts, monitored resources, telemetry volumes, log ingestion, custom metrics, and data processing. This creates a land-and-expand model where customers start with one monitoring workload and increase spend as coverage, data volume, and module adoption grow.
- Observability platform subscriptions
- Software Subscription
- Infrastructure and application monitoring usage
- Pay-per-Use
- Log ingestion and analytics
- Pay-per-Use
- Observability pipelines and data processing
- Pay-per-Use
- Additional adjacent modules such as analytics and experimentation
- Software Subscription
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Media Channel
Competitors & alternatives
- Catchpoint
Enterprise platform for digital experience and Internet performance monitoring.
- Grafana Labs
Open-source observability platform with cloud and enterprise subscriptions.
- Hewlett Packard Enterprise
Enterprise hybrid cloud infrastructure and operations software provider.
- Elastic
Enterprise search, observability and security software built on Elasticsearch.
- Sumo Logic
Cloud analytics platform for observability, log management and security.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
6 Sales-Alignment Plays from ABM Leaders at Snowflake, Datadog, Unisys
B2B Marketing Strategy · Recorded impact score: 2/5
In a roundtable hosted by MarTech, ABM leaders from Snowflake, Datadog, and Unisys shared six plays for aligning sales and marketing at enterprise scale. They emphasize that alignment is an ongoing discipline, not a one-time event. Key plays include reconciling target account lists, shifting from handoffs to relay-style collaboration, building a signal layer that returns actionable recommendations rather than raw data, selling support rather than tiers, enabling reps in their existing workflows, and applying AI to operational tasks while reinvesting in 1:1 personalized engagement. The leaders also discussed using person-level signals, aggregating intent and business context, and proving ABM's impact through shared goals and measurable results.
- Forrester's 2024 Sales and Marketing Alignment Survey found 65% of sales and marketing professionals experience a lack of alignment.
- ABM leaders from Snowflake, Datadog, and Unisys participated in a roundtable hosted by MarTech.
10-Q Financial Filing Analysis for Datadog (2026-08-06)
financials · Recorded impact score: 4.1/5
Datadog, Inc. reported strong financial results for the second quarter and first six months ended June 30, 2026. For Q2 2026, revenue increased 36% year-over-year to $1.12 billion, compared to $826.8 million in Q2 2025, driven primarily by expanded product usage across existing enterprise customers (accounting for approximately 70% of incremental growth). Operating income improved substantially to $5.5 million from an operating loss of $35.5 million in the prior-year period, while net income rose to $44.6 million. Free cash flow for the six months reached $567.8 million, up from $409.7 million in H1 2025. Management noted robust multi-product platform adoption, with 58% of customers utilizing four or more products, while flagging a potential headwind from usage moderation by its largest customer beginning in Q3 2026.
- Q2 2026 total revenue reached $1,121.45 million, up 35.6% year-over-year from $826.76 million in Q2 2025, with six-month revenue expanding 34.0% to $2,127.88 million.
- GAAP operating income turned positive to $5.46 million in Q2 2026 versus an operating loss of $35.50 million in Q2 2025, with net income surging to $44.56 million ($0.12 diluted EPS).
Push API alternative to Prometheus for small SaaS
Application Performance Monitoring (APM) · Recorded impact score: 1/5
The article advises beginners building a small SaaS custom metrics dashboard to prefer a push-style metrics API for app-level business measurements, while retaining Prometheus plus Grafana for Kubernetes, host monitoring, or where a richer infrastructure ecosystem is required. It explains the architectural differences between Prometheus's pull/scrape model and push APIs, highlights operational failure modes (duplication, staleness, delivery errors), and recommends starting by validating a single metric and the failure model before committing to a full stack. The author suggests running short bake-offs including Infrai (a REST-based option), Datadog, New Relic, Honeycomb, and emphasizes adding heartbeats and notification/deduplication components when needed.
- Recommendation: use a push-style metrics API for narrow, app-level custom metrics dashboards for beginners.
- Keep Prometheus plus Grafana for Kubernetes and host/ infrastructure monitoring where Prometheus's ecosystem and PromQL matter.
Explore company relationships
Questions about Datadog
What is Datadog?
Datadog is a cloud-based B2B observability platform that helps organisations monitor infrastructure, applications, logs, networks, and related telemetry.
Who uses Datadog?
It is used by DevOps teams, SREs, developers, IT operations, platform engineers, cloud engineers, network teams, and security teams at businesses.
How does Datadog make money?
It earns revenue from recurring software subscriptions and usage-based charges tied to monitored resources, telemetry ingestion, log volumes, and data processing.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
20 publicly documented primary sources and citations linked across the market graph.
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