Datadog records 5,175,760 monthly visits with -4.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing, Free pricing. llog records 0 monthly visits with 0% growth and Contact for Pricing pricing.
Unified observability, security and incident response for cloud-scale engineering teams
Set up, launch and reproduce ML experiments with templatized configs and AI.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | datadoghq.com | llog.ai |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing, Free | 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 | 3.8 |
| 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.
Set up, launch and reproduce ML experiments with templatized configs and AI.
llog turns YAML configs and argparse code into guided, visual templates so experiments are reproducible by default.
Modify experiment parameters visually in a web GUI instead of editing files by hand, and add a new parameter across an entire pipeline in one click.
Visualise experiment outputs without writing code, and ask the AI questions to plot features in your data.
Launch and run experiments on your own server or through SLURM, with version control so runs can be reproduced.
Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.
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
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceThe open-source data layer for robotics and physical AI
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
Free / Open-sourceFind and fix problems in your AI agents before users do
Free / Open-sourceFind 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.
Free / Open-sourceFull-stack observability with an AI SRE agent that fixes issues
Free / Open-sourceFull-stack observability with an AI SRE agent that fixes issues
