Datadog
DDOGCloud infrastructure monitoring platform whose Bits AI SRE agent autonomously investigates alerts, surfaces root causes and drafts incident summaries across metrics, traces and logs.
Products
Selected offerings — the AI products recorded here, not the vendor's full catalogue.
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Traces, evaluates and monitors LLM and AI-agent applications in production, with offline experimentation on datasets built from real traces.
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AI Impact Application
Detects AI-assisted pull requests from coding assistants such as Claude Code, Cursor and GitHub Copilot and compares them on adoption, PR throughput, cycle time, change failure rate and daily cost per active user.
Inside Cloud SIEM
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Always-on AI SOC analyst that autonomously triages and investigates security alerts and delivers written investigation results to Datadog, Slack or Jira within minutes.
Inside Datadog Infrastructure
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Datadog's Infrastructure-family product for shared GPU fleets across cloud, on-prem and neocloud providers: it links device health, cost and performance to the workloads and teams using them, alerts on unmet GPU requests, thermal throttling and ECC/XID errors, forecasts GPU demand and recommends optimisations such as reclaiming GPUs held by zombie processes. The page markets alerting, forecasting and recommendations but does not name a model or AI mechanism behind them.
Inside Datadog platform
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Conversational AI interface for querying Datadog metrics, logs, traces and monitors in natural language and generating dashboards and notebooks, accessible from Datadog, Slack or mobile.
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AI SRE agent that autonomously investigates every alert the moment it fires, explores multiple root-cause hypotheses in parallel and reports findings into Slack, Jira, ServiceNow or GitHub.
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Coding agent that triages production errors, regressions and vulnerabilities from Datadog telemetry, generates fixes with unit tests grounded in logs, traces and runtime variables, and opens pull requests for review.
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No-code builder for custom AI agents that investigate, decide and act inside Datadog to automate incident response, observability, security and operational workflows.
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Datadog MCP Server Developer tool
Model Context Protocol server that gives AI coding agents such as Claude Code, Cursor and Codex secure real-time access to Datadog logs, metrics and traces under existing RBAC controls.
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Datadog's built-in AI engine: it continuously analyses metrics, traces and logs across the platform to raise anomaly alerts without configuration, detect faulty deployments by comparing code versions, run automated root-cause analysis on critical failures and surface tag-based insights and impact analysis. Available inside Infrastructure Monitoring, APM, Log Management and RUM rather than sold on its own.
Closest alternatives 2
Similar products 105
Closest alternatives are pairs a vendor page itself compares. Similar products are matched from what each product does; nothing in that group is asserted as a rivalry.
Sources
- Market cap
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Third-party database · 31 Aug 2026
Market capitalisation $84.86B, share price $236.32, page stamped "Aug 31, 2026, 2:39 PM EDT - Market open". Same source and pattern as every other public company's market cap in this dataset.
- Employees
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Regulatory filing · 31 Dec 2025
Same Form 10-K. "Human Capital Management" section states: "As of December 31, 2025, we had approximately 8,100 employees operating across 35 countries." Corroborated by Wikipedia's infobox, which independently gives the same figure.
- Founded
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Infobox gives "Founded: June 2010". The 10-K's own prose describes the company's founding premise but does not itself state a year.
- Revenue (TTM)
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Regulatory filing · 31 Dec 2025
Datadog, Inc. Form 10-K for the fiscal year ended 2025-12-31, filed 2026-02-18, CIK 0001561550. States: "Our revenue was $3,427.2 million, $2,684.3 million and $2,128.4 million for the years ended December 31, 2025, 2024 and 2023, respectively."
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