Datadog records 5,175,760 monthly visits with -4.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing, Free pricing. Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% growth and Freemium, Contact for Pricing, Free pricing.
Unified observability, security and incident response for cloud-scale engineering teams
Track, evaluate, and ship AI models and agents in one connected environment.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | datadoghq.com | wandb.ai |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing, Free | Freemium, Contact for Pricing, Free |
| Monthly Visits | 5.18M (5,175,760) | 315.62K (315,624) |
| MoM Traffic Delta | -263.56K (-4.8%) | -1.28M (-80.2%) |
| Primary Market & Share | 🇺🇸 United States (41.4%) | 🇺🇸 United States (32.2%) |
| Direct Visits / mo | 2.75M | 230.88K |
| User Rating | 4.7 | 4.7 |
| 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.
Track, evaluate, and ship AI models and agents in one connected environment.
Log metrics, losses, and media from training runs and compare them side by side in interactive charts to spot what actually improves your model.
Run automated hyperparameter sweeps and visualize parameter importance so you can converge on better configurations faster.
Version datasets and model artifacts, track lineage, and promote models through a registry from training to production.
Build, log, and evaluate LLM prompts and applications, with tracing and evaluation tools grouped under an LLMOps workflow.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
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.
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
Free / Open-sourceOffers robust LLM evaluation and testing suites with integrated enterprise gateways, prioritizing prompt benchmarking.
Free / Open-sourceOffers robust LLM evaluation and testing suites with integrated enterprise gateways, prioritizing prompt benchmarking.
Focuses specifically on prompt versioning, collaborative CMS management, and agent tracing rather than general MLOps.
Focuses specifically on prompt versioning, collaborative CMS management, and agent tracing rather than general MLOps.
Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.
Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.
SpecialistAI governance, testing, and observability for regulated enterprises
SpecialistAI governance, testing, and observability for regulated enterprises
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
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.
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.
Provides modern full-stack cloud observability and APM with built-in AI debugging, but lacks Datadog's massive ecosystem integrations.
Provides modern full-stack cloud observability and APM with built-in AI debugging, but lacks Datadog's massive ecosystem integrations.
