Datadog records 5,175,760 monthly visits with -4.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing, Free pricing. HawkFlow.ai records 0 monthly visits with 0% growth and Freemium pricing.
Unified observability, security and incident response for cloud-scale engineering teams
MLOps monitoring that fits into your development workflow
| Dimension / Metric | | |
|---|---|---|
| Official Domain | datadoghq.com | hawkflow.ai |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing, Free | Freemium |
| 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 | 3.2 |
| 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.
MLOps monitoring that fits into your development workflow
Track ML performance, prediction quality and drift signals so degraded models are noticed before stakeholders do.
Watch the code paths that produce your results and get alerted when jobs fail, throw exceptions or behave unexpectedly.
Check incoming data for schema changes, missing values and distribution shifts that would silently corrupt downstream results.
Keep business dashboards trustworthy by alerting when the underlying metrics stop updating or move outside expected ranges.
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
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-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
SpecialistStandardize LLM evaluation, observability, and red teaming across your whole org
SpecialistStandardize LLM evaluation, observability, and red teaming across your whole org
AI-powered cloud DLP and security awareness training for SaaS environments
AI-powered cloud DLP and security awareness training for SaaS environments
SpecialistAI governance, testing, and observability for regulated enterprises
SpecialistAI governance, testing, and observability for regulated enterprises
The control plane for trusted enterprise agents and models
The control plane for trusted enterprise agents and models
Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
Free / Open-sourceSpecializes in multi-cloud security posture management and compliance, but lacks full-stack APM and infrastructure metrics monitoring.
Free / Open-sourceSpecializes in multi-cloud security posture management and compliance, but lacks full-stack APM and infrastructure metrics monitoring.
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues
SpecialistData observability that catches silent data quality issues before they spread
SpecialistData observability that catches silent data quality issues before they spread
