Brand Intelligence Graphcompany
Company Overview
About Datadog
Datadog is a cloud-native monitoring and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, headquartered in New York City. The company went public on Nasdaq (DDOG) in September 2019 and has grown to serve over 29,000 customers as of FY2024, generating $2.68 billion in annual recurring revenue, representing approximately 26% year-over-year growth. Datadog's platform spans infrastructure monitoring, application performance management (APM), log management, security monitoring, and AI observability, positioning it as the unified observability stack for cloud-scale engineering teams.
Business Model & Competitive Advantage
The company's technical moat lies in its unified data platform that ingests metrics, traces, and logs from over 750 integrations across cloud providers, containers, databases, and third-party services. Datadog's agent-based architecture provides low-overhead telemetry collection, while its Notebooks and Dashboards enable collaboration across development and operations teams. The 2023-2025 expansion into LLM Observability—monitoring AI model latency, token costs, and hallucination rates—positions Datadog uniquely as enterprises instrument generative AI workloads at scale.
Competitive Landscape 2025–2026
By 2025-2026, Datadog competes in a consolidating observability market against Dynatrace (DT), Grafana Labs, and Cisco's Splunk (acquired March 2024 for $28B). The CrowdStrike global outage in July 2024 reinforced demand for resilient, multi-vendor monitoring. Datadog's platformization strategy—expanding to 20+ products with cross-sell upsell motions—mirrors Palo Alto Networks' approach, driving net dollar retention consistently above 115%. With AI infrastructure monitoring becoming a critical workload, Datadog is positioned to capture spend as enterprises scale GPU clusters and LLM inference pipelines in 2025-2026.
The Datadog Story
Founders
Recent Activity
View all →* [FEATURE] Partial RUM View Updates: - Add the `view_update` JSON schema and refactor shared view properties. See [#3287](https://github.com/DataDog/dd-sdk-android/pull/3287) - Add the `DiffBuilder` utility and `ViewUpdateEvent` diff computation. See [#3296](https://github.com/DataDog/dd-sdk-android/pull/3296) - Implement the `view_update` event pipeline. See [#3299](https://github.com/DataDog/dd-sdk-android/pull/3299) - Add `replay_stats`, `profiling`, `page_states`, `cls`, and `configuration` to `ViewUpdateEvent._dd`. See [#3575](https://github.com/DataDog/dd-sdk-android/pull/3575) - Use `AlwaysFullView` as the default `RumViewEventWriteConfig`. See [#3591](https://github.com/DataDog/dd-sdk-android/pull/3591) - Add periodic full-view checkpoints. See [#3677](https://github.com/DataDog/dd-sdk-android/pull/3677) - Complete the Partial RUM View Updates integration. See [#3809](https://github.com/DataDog/dd-sdk-android/pull/3809) * [FEATURE] APM Client-Side Stats: - Add `statsComputatio
> [!WARNING] > **Minimum deployment target change** > > This release raises the SDK's minimum deployment targets to iOS 15.0, tvOS 15.0, and watchOS 9.0 (previously iOS 12.0, tvOS 12.0, and watchOS 7.0). If your app still targets earlier OS versions, you won't be able to adopt 3.17.0 without also raising your app's minimum deployment target. Pin to 3.16.0 or earlier if you need to keep supporting iOS/tvOS 12–14 or watchOS 7–8. ## Features - Add a configurable initialization timeout for the first Datadog Flags evaluation context. See #3167 - Add Remote Configuration. See #3151 - Add `CrashReporting.Configuration.appHangBacktraceEnabled` to opt out of stack trace collection in App Hang errors while keeping Crash Reporting enabled. See #3136 ## Improvements - Bump minimum deployment targets to iOS 15.0, tvOS 15.0, and watchOS 9.0. See #3155 - Report cross-platform-specific instrumentation types (Flutter, React Native, Unity, Kotlin Multiplatform) for RUM views in SDK telemetry. See #3165
# Agent ### Prelude Released on: 2026-09-09 - Please refer to the [7.83.1 tag on integrations-core](https://github.com/DataDog/integrations-core/blob/master/AGENT_CHANGELOG.md#datadog-agent-version-7831) for the list of changes on the Core Checks ### Bug Fixes - Fix bug which made fast network path test billed to customer - Release the containerd view snapshot and lease taken for a container image SBOM scan even when the scan is cancelled or times out. The release ran on the scan's own context, so a scan that hit its deadline left the snapshot behind, and on a lazy snapshotter that snapshot holds the layer it materialised. ### Other Notes - The fleet installer daemon now reports the DDOT (OpenTelemetry Collector) process state as part of the agent state sent to Datadog, so DDOT version and configuration updates can be monitored. The state is read from the process manager when it supervises DDOT, and from systemd or the Windows service manager otherwise. It is also visible in the output
See how a Datadog guild achieved 13% faster agent runs by building Golden Paths for AI-assisted development using controls, experiments, and dashboards.
## Changelog * 3219c8a91d426093702bd85f658a93f02b5d3a2a (ddgr): Monitor Notification Rules (#3232) * 5dd6c8a9c9325b149fa2762da91566cb089cb93f (docs) Adjust codeowners for documentation team (#3250) * eb0751427e141cb95638457563bd88e968646a4b Add Dynamic Instrumentation system probe feature (#3245) * b02e72f725f3a8a1b99935d5a79529163617a2b4 Add apm non local traffic env var to local service (#3224) (#3352) * 0e65f0f13963bdf266ff4a99b24c9ef24f55818d Add cluster_id tag in remote service callback (#3376) (#3379) * ce5780200b833417672b0c33e7ed94f3168470a9 Add debugger team to codewoners (#3256) * c84a77a96f4948f4194990adae8b33c6435de887 Add endpointslices collector to kube-state-metrics core check (#3295) * 7af725529a692fedf45fdba5d6c03955abe5b916 Add run volume mount to DDOT/HP (#3271) * 3e8e5785c980b19ec07bea46faeb5837285570c1 Add support for HP in DAP (#3299) * 6d88e0dac89fef6811f2783f2ee35cedbfda72d5 Bump Go to 1.26.5 (#3285) * 6990fe854ccfb87636c87b231a29011d9938200c Bump fake intake to
### Bug Fixes - CI Visibility: Fixes an issue where test sessions running with pytest-xdist on shallow Git checkouts can spend excessive time unshallowing the repository and may fail or time out during collection.
# Components ## Application Security Management (IAST) * :sparkles: Add IAST code injection detection for BeanShell (#12113 - @claponcet) ## Application Security Management (WAF) * :sparkles: Add API Security schema extraction and missing-route metrics (#12300 - @jandro996) * :bug: Bound unresolved-artifact retry loop in ScaReachabilityTransformer (#12245 - @jandro996) * :sparkles: Add HTTP span tags to the AWS Lambda invocation span (#12226 - @claponcet) * :sparkles: Bump libsqreen (libddwaf-java) to 17.5.0 for libddwaf 2.0.1 (#12118 - @jandro996) ## Configuration * :bug: Support OpenTelemetry deployment environment names (#12324 - @tylfin) ## Continuous Integration Visibility * :bug: Avoid empty headless test sessions (#12146 - @daniel-mohedano) ## Crash Tracking * :bug: Add `is_crash` tag to crash report (#12156 - @gyuheon0h) ## Data Streams Monitoring * :sparkles: Capture Kafka consumer group membership on join (#11989 - @piochelepiotr) ## Dynamic Instrumentation * :bug: Disable Ex
Learn how to turn a product brief and feature flag into a connected launch workflow for instrumentation, experimentation, QA, and reporting.
## All products ### Added - Support the stable OpenTelemetry `deployment.environment.name` resource attribute, mapped to `DD_ENV` (in addition to the legacy `deployment.environment`) #4148 ### Internal - Exclude `DD_API_KEY` and OTLP exporter header values from configuration telemetry #3961 ## Tracer ### Changed - Add a 1 MB size limit to Dynamic Instrumentation capture snapshots #4126 ### Fixed - Fix missing/mis-tagged `drupal.theme.render` spans on Drupal >= 11.3 and under early-returning renders #4145 - Fix sidecar reconnection error handling DataDog/libdatadog#2463 - Fix a sidecar listening-socket leak across forks DataDog/libdatadog#2447 ### Internal - Reduce reconnect overhead for periodic background HTTP requests in the sidecar (telemetry/trace flushes) DataDog/libdatadog#2440 - Reduce the number of HTTP requests sent for shutdown telemetry DataDog/libdatadog#2435 - Feature Flag Evaluation: support arbitrary semver version formats and add serial-id tracking to exposure events Da
When a runtime threat appears, every step costs time. Datadog Workload Protection can now kill processes and isolate workloads with automated and manual response actions.
# Agent ### Prelude Released on: 2026-09-03 - Please refer to the [7.83.0 tag on integrations-core](https://github.com/DataDog/integrations-core/blob/master/AGENT_CHANGELOG.md#datadog-agent-version-7830) for the list of changes on the Core Checks ### New Features - Add a Data Security provider that schedules one-off database scan checks triggered through Remote Configuration. It is enabled when both `data_security.enabled` and `shared_library_check.enabled` are set, and currently targets PostgreSQL databases already monitored by the Agent (via the `postgres` check). - Add `k8s cluster receiver`, `k8s leader elector extension`, and `count connector` to the DDOT (Datadog Distribution of OpenTelemetry Collector) default manifest, enabling collection of Kubernetes cluster-level metrics, leader election coordination for Kubernetes receivers, and count-based metric generation via the OpenTelemetry Collector pipeline. - Add Helm rollback action - Adds an Agent Data Plane (ADP) preflight mode,
Build, debug, and run Datadog workflows from Bits Chat and AI coding agents using the operational and development context where you’re working.
Company Timeline
Major milestones in Datadog's journey
Leadership Team
Meet the leaders behind Datadog
Olivier Pomel
Olivier Pomel is Co-Founder and CEO of Datadog, serving in this role since June 2010. He met co-founder Alexis Lê-Quôc as an undergraduate at École Centrale Paris and worked with him for nine years at Wireless Generation before founding Datadog. Under his leadership, Datadog has grown from a startup to a publicly-traded S&P 500 company with over $2.6 billion in annual revenue.
Alexis Lê-Quôc
Alexis Lê-Quôc serves as Co-Founder and Chief Technology Officer, overseeing Datadog's technology vision and product development since 2010. He is responsible for the platform's technical architecture and innovation roadmap, including the development of AI-powered observability capabilities and the time-series foundation model TOTO.
David Obstler
David Obstler has served as Chief Financial Officer since October 2018, bringing more than three decades of operational finance experience. He previously served as CFO of TravelClick and has been instrumental in guiding Datadog through its IPO and subsequent growth as a public company.
Adam Blitzer
Adam Blitzer serves as Chief Operating Officer, overseeing Datadog's global operations, go-to-market strategy, and customer success initiatives. He brings extensive experience scaling high-growth SaaS companies.
Amit Agarwal
Amit Agarwal serves as President of Datadog, working closely with the CEO to drive company strategy, product vision, and market expansion initiatives across global markets.
Ami Vora
Ami Vora brings over 20 years of product experience to her role as Chief Product Officer. She previously served as Chief Product Officer at Faire and has been instrumental in expanding Datadog's product portfolio and accelerating innovation.
Sean Walters
Sean Walters serves as Chief Revenue Officer, leading Datadog's worldwide sales organization and revenue growth strategy. He oversees customer acquisition, expansion, and retention across enterprise and commercial segments.
Sara Varni
Sara Varni serves as Chief Marketing Officer with over 15 years of marketing leadership experience. She previously served as CMO at Attentive and Twilio, bringing deep expertise in developer-focused marketing and brand building.
Kerry Acocella
Kerry Acocella serves as Executive Vice President, General Counsel, and Secretary, overseeing all legal affairs, compliance, corporate governance, and regulatory matters for Datadog globally.
Emilio Escobar
Emilio Escobar serves as Chief Information Security Officer, responsible for protecting Datadog's infrastructure, data, and customer information. He oversees the company's security strategy and ensures platform security meets the highest industry standards.
Key Differentiators
Market Leader
Datadog is recognized as a market leader in the DevOps sector, demonstrating strong industry presence and customer trust.
Enterprise Scale
With $2.68B in revenue, Datadog operates at enterprise scale with proven market validation.
Top 3 Ranked
Ranked #2 in the DevOps category, consistently recognized for excellence.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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