Datadog records 5,175,760 monthly visits with -4.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing, Free pricing. Instalog records 0 monthly visits with -100% growth and Paid pricing.
Unified observability, security and incident response for cloud-scale engineering teams
Every crash, log, and event — explained in plain English by AI
| Dimension / Metric | | |
|---|---|---|
| Official Domain | datadoghq.com | instalog.dev |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing, Free | Paid |
| Monthly Visits | 5.18M (5,175,760) | 0 (0) |
| MoM Traffic Delta | -263.56K (-4.8%) | -390 (-100%) |
| Primary Market & Share | 🇺🇸 United States (41.4%) | 🌐 Global (—) |
| Direct Visits / mo | 2.75M | 0 |
| User Rating | 4.7 | 4.4 |
| 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.
Every crash, log, and event — explained in plain English by AI
Full stack traces paired with the device state that caused them, including OS version, device model, battery level, and build number.
Every session streams in live and is grouped by event, so you can reconstruct exactly what a user did before something went wrong.
Each crash group gets a plain-English explanation of the failing path, plus suggested patches that reference your actual code instead of generic advice.
Query millions of log lines in natural language and receive answers grounded in the underlying data rather than guesses.
Free / Open-sourceThe coding agent that learns your coding taste
Free / Open-sourceThe coding agent that learns your coding taste
Free / Open-sourceScreen recorder that captures bugs with full technical context
Free / Open-sourceScreen recorder that captures bugs with full technical context
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.
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.
SpecialistEvaluate, monitor, and govern your AI applications in production
SpecialistEvaluate, 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
Free / Open-sourceThe open-source data layer for robotics and physical AI
Free / Open-sourceAI code review that understands your whole codebase
Free / Open-sourceAI code review that understands your whole codebase
SpecialistAI governance, testing, and observability for regulated enterprises
SpecialistAI governance, testing, and observability for regulated enterprises
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
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.
