Datadog vs Sama

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.

Sama's data annotation and validation platform, combining annotation tooling, SamaAssure quality assurance, SamaHub project management and reporting, and SamaIQ analytics, with a REST API and CLI for pipeline integration.

Sama Annotate is Sama's enterprise data annotation offering, delivering image, video and 3D point cloud labeling through a full-time in-house annotation workforce working on the Sama Platform, with CLI and API access for automated data workflows.

Sama Curate is a data curation offering that uses filtering and curation algorithms to suggest which assets in a raw dataset should be labeled, so teams annotate only the data most likely to improve an ML model.

Sama GenAI supplies human-generated training and evaluation data for foundation models, covering model validation and fact checking, instruction following, preference ranking, image and video captioning, creative writing, synthetic data creation and RAG evaluation.

Sama Validate is a managed human-in-the-loop service in which trained reviewers inspect and correct a customer's model predictions across image, video and 3D point cloud data and report where the model performs well or poorly.