Anthropic vs Datadog

Assistant for chat, document analysis and coding, used in the browser and in desktop and mobile apps.

Lets users collaborate with Claude to create on-brand visual work (decks, prototypes, wireframes, marketing collateral) with design-system import and Claude Code integration via /design-sync.

Desktop application for scientific research that runs analyses, searches scientific databases and traces work from data wrangling through to publication.

Application that scans codebases for high-severity vulnerabilities, validates findings by adversarial verification and recommends patches for review, with a companion Claude Code plugin.

Claude working inside Excel, PowerPoint, Word and Outlook with context carried across the documents — preserving templates and house styles and showing every edit as tracked changes, highlighted cells or draft emails.

Claude tagged as @Claude inside Slack threads and channels: it reads thread context and replies in real time, analyses conversations, pulls data, drafts content, monitors channels, triages alerts and runs standing instructions without leaving Slack.

Coding agent that works on a codebase from the terminal, an IDE extension and a desktop app.

Agentic task app in which Claude works asynchronously across a user's files and tools toward a stated goal, checked in on from desktop, web or phone.

Browser extension that lets Claude act inside Chrome on the user's behalf — reading pages, clicking, typing and filling forms to work through multi-step web tasks without approving each step, with the user keeping control of what it may do.

Hosted API offering a pre-built configurable agent harness with managed sandboxes and persistent sessions for long-running asynchronous agent tasks, billed separately from token usage.

Python and TypeScript library that runs the same agent loop, tools and context management that power Claude Code, so developers can embed the loop in their own process rather than calling the API directly.

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.

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.

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.

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.

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.

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.

Always-on AI SOC analyst that autonomously triages and investigates security alerts and delivers written investigation results to Datadog, Slack or Jira within minutes.

No-code builder for custom AI agents that investigate, decide and act inside Datadog to automate incident response, observability, security and operational workflows.

Traces, evaluates and monitors LLM and AI-agent applications in production, with offline experimentation on datasets built from real traces.

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.