Datadog AI Pricing & Plans 2026

Name: Datadog AI
Brand: Datadog AI
Price: 15 USD
Availability: InStock

Complete pricing guide for Datadog AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Datadog AI is worth it →

🆓Free Tier Available

💎6 Paid Plans

⚡No Setup Fees

Choose Your Plan

Infrastructure - Pro

$15/host/month (annual)

✓Core metrics, 600+ integrations, custom metrics, 15-month retention, basic anomaly detection

Start Free Trial →

Infrastructure - Enterprise

$23/host/month (annual)

✓Adds advanced anomaly detection, premium support, network performance correlation

Contact Sales →

APM - Enterprise

$40/host/month (annual)

✓Distributed tracing, Watchdog automated detection, Continuous Profiler, service dependencies

Contact Sales →

Log Management

$0.10 per GB ingested + $1.70 per million events indexed (15-day retention)

✓Live tail, log patterns, parsing, archival to cloud storage

Start Free Trial →

LLM Observability

Add-on, usage-based per traced span

✓Prompt/completion capture, token cost tracking, evaluations, integrates with APM traces

Start Free Trial →

Bits AI

Add-on (contact sales)

✓Natural-language querying, incident summarization, postmortem drafting, available on Enterprise plans

Start Free Trial →

Pricing sourced from Datadog AI · Last verified March 2026

Feature Comparison

Features	Infrastructure - Pro	Infrastructure - Enterprise	APM - Enterprise	Log Management	LLM Observability	Bits AI
Core metrics, 600+ integrations, custom metrics, 15-month retention, basic anomaly detection	✓	✓	✓	✓	✓	✓
Adds advanced anomaly detection, premium support, network performance correlation	—	✓	✓	✓	✓	✓
Distributed tracing, Watchdog automated detection, Continuous Profiler, service dependencies	—	—	✓	✓	✓	✓
Live tail, log patterns, parsing, archival to cloud storage	—	—	—	✓	✓	✓
Prompt/completion capture, token cost tracking, evaluations, integrates with APM traces	—	—	—	—	✓	✓
Natural-language querying, incident summarization, postmortem drafting, available on Enterprise plans	—	—	—	—	—	✓

Is Datadog AI Worth It?

✅ Why Choose Datadog AI

• Watchdog automatically detects anomalies across metrics, APM traces, and logs without requiring users to define static thresholds, reducing alert-tuning toil
• Bits AI assistant lets responders query telemetry in natural language and auto-summarizes incidents, which shortens triage during on-call
• Tightly integrated with 850+ technologies so AI features have access to a unified data model spanning infra, apps, network, security, and RUM
• LLM Observability provides purpose-built tracing for GenAI apps including token cost, prompt/completion capture, and quality evaluations
• Forecasting and outlier monitors apply ML to time-series data for capacity planning and detecting fleet-wide anomalies vs. single-host issues
• Mature enterprise features around RBAC, SSO, compliance (SOC 2, HIPAA, FedRAMP), and multi-region data residency

⚠️ Consider This

• Usage-based pricing across many SKUs (hosts, APM, logs, ingestion, indexing, Bits AI) makes total cost difficult to predict and frequently surprises teams at scale
• AI features like Watchdog and Bits AI are generally gated behind higher-tier plans or separate add-ons rather than included in base infrastructure pricing
• Anomaly detection can produce noisy alerts in highly variable workloads or during deploys, requiring tuning despite the 'automatic' positioning
• Steep learning curve to fully leverage the platform — the breadth of products means teams often underuse AI capabilities they're already paying for
• Data residency and egress can be a concern for cost-sensitive teams, especially with high-cardinality metrics and verbose log indexing

What Users Say About Datadog AI

👍 What Users Love

✓Watchdog automatically detects anomalies across metrics, APM traces, and logs without requiring users to define static thresholds, reducing alert-tuning toil
✓Bits AI assistant lets responders query telemetry in natural language and auto-summarizes incidents, which shortens triage during on-call
✓Tightly integrated with 850+ technologies so AI features have access to a unified data model spanning infra, apps, network, security, and RUM
✓LLM Observability provides purpose-built tracing for GenAI apps including token cost, prompt/completion capture, and quality evaluations
✓Forecasting and outlier monitors apply ML to time-series data for capacity planning and detecting fleet-wide anomalies vs. single-host issues
✓Mature enterprise features around RBAC, SSO, compliance (SOC 2, HIPAA, FedRAMP), and multi-region data residency

👎 Common Concerns

⚠Usage-based pricing across many SKUs (hosts, APM, logs, ingestion, indexing, Bits AI) makes total cost difficult to predict and frequently surprises teams at scale
⚠AI features like Watchdog and Bits AI are generally gated behind higher-tier plans or separate add-ons rather than included in base infrastructure pricing
⚠Anomaly detection can produce noisy alerts in highly variable workloads or during deploys, requiring tuning despite the 'automatic' positioning
⚠Steep learning curve to fully leverage the platform — the breadth of products means teams often underuse AI capabilities they're already paying for
⚠Data residency and egress can be a concern for cost-sensitive teams, especially with high-cardinality metrics and verbose log indexing

Pricing FAQ

What is Watchdog and how is it different from a regular monitor?

Watchdog is Datadog's automated anomaly detection engine that continuously analyzes metrics, traces, and logs using machine learning to surface unusual behavior without requiring manually configured thresholds. Regular monitors fire when a metric crosses a static or dynamic threshold you define; Watchdog proactively finds anomalies you haven't anticipated.

What does Bits AI do?

Bits AI is Datadog's generative AI assistant that lets users ask natural-language questions about their telemetry, summarize incidents, draft postmortems, and get contextual remediation suggestions during on-call triage.

Does Datadog support observability for LLM applications?

Yes. Datadog LLM Observability provides trace-level visibility into prompts, completions, latency, token usage, and cost across providers such as OpenAI, Anthropic, and Amazon Bedrock, with built-in quality evaluations and integration into APM traces.

How is Datadog AI priced?

Datadog uses usage-based pricing with separate SKUs per product (Infrastructure, APM, Logs, RUM, etc.). AI capabilities are typically tied to higher-tier plans or available as add-ons. Contact sales for Bits AI pricing.

How does Datadog AI compare to New Relic or PagerDuty AIOps?

Datadog AI is strongest when you want one platform spanning infra, APM, logs, RUM, security, and LLMs with ML built in. New Relic offers similar breadth with a consumption-based pricing model. PagerDuty AIOps focuses on alert correlation and incident routing rather than full-stack observability.

Ready to Get Started?

AI builders and operators use Datadog AI to streamline their workflow.

Try Datadog AI Now →

More about Datadog AI

Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

Datadog AI Pricing & Plans 2026

Complete pricing guide for Datadog AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎6 Paid Plans

⚡No Setup Fees

Choose Your Plan

Infrastructure - Pro

$15/host/month (annual)

✓Core metrics, 600+ integrations, custom metrics, 15-month retention, basic anomaly detection

Start Free Trial →

Infrastructure - Enterprise

$23/host/month (annual)

✓Adds advanced anomaly detection, premium support, network performance correlation

Contact Sales →

APM - Enterprise

$40/host/month (annual)

✓Distributed tracing, Watchdog automated detection, Continuous Profiler, service dependencies

Contact Sales →

Log Management

$0.10 per GB ingested + $1.70 per million events indexed (15-day retention)

✓Live tail, log patterns, parsing, archival to cloud storage

Start Free Trial →

LLM Observability

Add-on, usage-based per traced span

✓Prompt/completion capture, token cost tracking, evaluations, integrates with APM traces

Start Free Trial →

Bits AI

Add-on (contact sales)

✓Natural-language querying, incident summarization, postmortem drafting, available on Enterprise plans

Start Free Trial →

Pricing sourced from Datadog AI · Last verified March 2026

Feature Comparison

Features	Infrastructure - Pro	Infrastructure - Enterprise	APM - Enterprise	Log Management	LLM Observability	Bits AI
Core metrics, 600+ integrations, custom metrics, 15-month retention, basic anomaly detection	✓	✓	✓	✓	✓	✓
Adds advanced anomaly detection, premium support, network performance correlation	—	✓	✓	✓	✓	✓
Distributed tracing, Watchdog automated detection, Continuous Profiler, service dependencies	—	—	✓	✓	✓	✓
Live tail, log patterns, parsing, archival to cloud storage	—	—	—	✓	✓	✓
Prompt/completion capture, token cost tracking, evaluations, integrates with APM traces	—	—	—	—	✓	✓
Natural-language querying, incident summarization, postmortem drafting, available on Enterprise plans	—	—	—	—	—	✓

Is Datadog AI Worth It?

✅ Why Choose Datadog AI

• Watchdog automatically detects anomalies across metrics, APM traces, and logs without requiring users to define static thresholds, reducing alert-tuning toil
• Bits AI assistant lets responders query telemetry in natural language and auto-summarizes incidents, which shortens triage during on-call
• Tightly integrated with 850+ technologies so AI features have access to a unified data model spanning infra, apps, network, security, and RUM
• LLM Observability provides purpose-built tracing for GenAI apps including token cost, prompt/completion capture, and quality evaluations
• Forecasting and outlier monitors apply ML to time-series data for capacity planning and detecting fleet-wide anomalies vs. single-host issues
• Mature enterprise features around RBAC, SSO, compliance (SOC 2, HIPAA, FedRAMP), and multi-region data residency

⚠️ Consider This

• Usage-based pricing across many SKUs (hosts, APM, logs, ingestion, indexing, Bits AI) makes total cost difficult to predict and frequently surprises teams at scale
• AI features like Watchdog and Bits AI are generally gated behind higher-tier plans or separate add-ons rather than included in base infrastructure pricing
• Anomaly detection can produce noisy alerts in highly variable workloads or during deploys, requiring tuning despite the 'automatic' positioning
• Steep learning curve to fully leverage the platform — the breadth of products means teams often underuse AI capabilities they're already paying for
• Data residency and egress can be a concern for cost-sensitive teams, especially with high-cardinality metrics and verbose log indexing

What Users Say About Datadog AI

👍 What Users Love

✓Watchdog automatically detects anomalies across metrics, APM traces, and logs without requiring users to define static thresholds, reducing alert-tuning toil
✓Bits AI assistant lets responders query telemetry in natural language and auto-summarizes incidents, which shortens triage during on-call
✓Tightly integrated with 850+ technologies so AI features have access to a unified data model spanning infra, apps, network, security, and RUM
✓LLM Observability provides purpose-built tracing for GenAI apps including token cost, prompt/completion capture, and quality evaluations
✓Forecasting and outlier monitors apply ML to time-series data for capacity planning and detecting fleet-wide anomalies vs. single-host issues
✓Mature enterprise features around RBAC, SSO, compliance (SOC 2, HIPAA, FedRAMP), and multi-region data residency

👎 Common Concerns

⚠Usage-based pricing across many SKUs (hosts, APM, logs, ingestion, indexing, Bits AI) makes total cost difficult to predict and frequently surprises teams at scale
⚠AI features like Watchdog and Bits AI are generally gated behind higher-tier plans or separate add-ons rather than included in base infrastructure pricing
⚠Anomaly detection can produce noisy alerts in highly variable workloads or during deploys, requiring tuning despite the 'automatic' positioning
⚠Steep learning curve to fully leverage the platform — the breadth of products means teams often underuse AI capabilities they're already paying for
⚠Data residency and egress can be a concern for cost-sensitive teams, especially with high-cardinality metrics and verbose log indexing

Datadog AI Pricing & Plans 2026

Choose Your Plan

Infrastructure - Pro

Infrastructure - Enterprise

APM - Enterprise

Log Management

LLM Observability

Bits AI

Feature Comparison

Is Datadog AI Worth It?

✅ Why Choose Datadog AI

⚠️ Consider This

What Users Say About Datadog AI

👍 What Users Love

👎 Common Concerns

Pricing FAQ

What is Watchdog and how is it different from a regular monitor?

What does Bits AI do?

Does Datadog support observability for LLM applications?

How is Datadog AI priced?

How does Datadog AI compare to New Relic or PagerDuty AIOps?

Ready to Get Started?

More about Datadog AI

Compare Datadog AI Pricing with Alternatives

New Relic AI Pricing

PagerDuty AIOps Pricing

Pulumi AI Pricing

Spacelift Pricing

Spot.io Pricing

Datadog AI Pricing & Plans 2026

Choose Your Plan

Infrastructure - Pro

Infrastructure - Enterprise

APM - Enterprise

Log Management

LLM Observability

Bits AI

Feature Comparison

Is Datadog AI Worth It?

✅ Why Choose Datadog AI

⚠️ Consider This

What Users Say About Datadog AI

👍 What Users Love

👎 Common Concerns

Pricing FAQ

What is Watchdog and how is it different from a regular monitor?

What does Bits AI do?

Does Datadog support observability for LLM applications?

How is Datadog AI priced?

How does Datadog AI compare to New Relic or PagerDuty AIOps?

Ready to Get Started?

More about Datadog AI

Compare Datadog AI Pricing with Alternatives

New Relic AI Pricing

PagerDuty AIOps Pricing

Pulumi AI Pricing

Spacelift Pricing

Spot.io Pricing