Datadog vs Mastra

Single endpoint that governs an organisation's LLM use: routes agent and application traffic to OpenAI, Anthropic, Amazon Bedrock, Google Vertex AI or Azure OpenAI, with spend budgets, team-level model access, policy enforcement and fallback when a model is over budget, rate-limited or down.

Inline security layer for agentic AI applications: evaluates prompts, model responses and tool calls in real time and blocks prompt injection, jailbreaking and sensitive-data exfiltration before they reach critical systems.

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.

Preview AI teammate for ad-hoc data questions across Datadog and warehouse data: answers natural-language questions with SQL-backed answers, charts and dashboards.

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.

Bits Release is an AI agent that validates code changes from pull request to production.

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

Bits Testing uses AI to discover application workflows and generate synthetic tests.

Preview AI agent in Datadog Cloud SIEM that turns threat intelligence into complete investigations: it generates hypotheses, analyses activity across the environment and returns validated findings with recommended actions, including automated detection rules.

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.

An OpenAI- and Anthropic-compatible model gateway that routes one API key to 300+ models with provider failover, and adds observational memory that compresses each conversation into notes so agents keep context without rebuilding it.

An open-source terminal coding agent with Build, Plan and Fast modes and explore, plan and execute subagents, whose observational memory compresses the session into notes instead of compacting it, so long sessions keep their context.

An open-source software delivery environment where coding agents take a connected repository's issues through investigation, planning, implementation and review to a reviewed pull request, with people deciding at each step; self-hosted or deployed on Mastra's platform.

A UI mounted inside a team's own Mastra server for creating and operating internal agents, with multi-tenant workflows, role-based access and channel integrations, licensed for production under Mastra's enterprise licence.

An open-source TypeScript framework that developers use to build, run and observe AI agents and workflows, with a hosted Studio and cloud deployment option.

A shared workspace where a team inspects agent runs through traces and cost, latency and quality metrics, scores outputs with LLM-as-judge or code, runs dataset experiments and versions prompts and agent configurations, open to non-engineering reviewers without source access.