GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language
Datadog records 5,175,760 monthly visits with -4.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing, Free pricing. PerfAgents records 0 monthly visits with 0% growth and Free Trial, Contact for Pricing pricing.
One control plane for distributed performance testing and orchestration
| Dimension / Metric | ||
|---|---|---|
| Official Domain | datadoghq.com | perfagents.com |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing, Free | Free Trial, Contact for Pricing |
| Monthly Visits | 5.18M (5,175,760) | 0 (0) |
| MoM Traffic Delta | -263.56K (-4.8%) | 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (41.4%) | 🌐 Global (—) |
| Direct Visits / mo | 2.75M | 0 |
| User Rating | 4.7 | 4.2 |
| Supported Platforms | Website | Website |
Unified observability, security and incident response for cloud-scale engineering teams
Agents, cloud integrations and OpenTelemetry collectors feed one platform where metrics, distributed traces, profiles and logs can be pivoted between without context switching.
Bits AI, an agent builder and LLM/AI-agent observability help teams triage alerts, explain anomalies and monitor model latency, token spend and agent traces.
Cloud SIEM, cloud security posture management, vulnerability management, workload protection and code scanning correlate threat signals with the telemetry you already collect.
Real user monitoring, session replay, product analytics, synthetic and mobile testing sit alongside CI visibility, test optimization, feature flags and DORA metrics.
One control plane for distributed performance testing and orchestration
Manage test execution, scheduling triggers, and environment configuration from a single console instead of coordinating scripts and machines by hand.
Scale load generation across a distributed set of runners while keeping test definitions and results in one place.
Run UI checks alongside load execution to see real user behaviour at the exact moment load peaks, not hours afterwards.
Observe performance signals during the run so issues can be diagnosed and fixed before the test finishes.
GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language

SpecialistSpecializes in tracing and debugging production LLM applications, but does not provide general cloud infrastructure metrics or log management.
SpecialistSpecializes in tracing and debugging production LLM applications, but does not provide general cloud infrastructure metrics or log management.
AI-augmented quality platform for web, mobile, API and desktop testing

SpecialistProvides advanced AI-driven threat detection for cloud networks, but focuses purely on security rather than general application performance monitoring.
SpecialistProvides advanced AI-driven threat detection for cloud networks, but focuses purely on security rather than general application performance monitoring.

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Write end-to-end test automation in plain English, no code required
Write end-to-end test automation in plain English, no code required

SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org

AI testing platform for the entire software testing lifecycle
AI testing platform for the entire software testing lifecycle
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises

SpecialistFocuses on machine learning and LLM model observability, whereas Datadog primarily targets traditional infrastructure and application performance monitoring.
SpecialistFocuses on machine learning and LLM model observability, whereas Datadog primarily targets traditional infrastructure and application performance monitoring.