Datadog Error Tracking

Error Tracking by Datadog provides automated error grouping, real-time alerts, and detailed context for debugging across multiple languages

Freemium

Web

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#Automated Debugging #Error Monitoring

Overview

Error Tracking supports over 10 languages and frameworks, automatically grouping errors into issues for simplified triage. It offers real-time alerts prioritized by impact and provides code-level context with AI-powered insights to accelerate debugging and resolution.

Key Features

Automatic Error Grouping

Errors are automatically grouped into issues using stack traces, messages, and runtime metadata to simplify triage and reduce noise.

Real-Time Alerts

Get alerts for new, recurring, and high-volume errors prioritized by impact to act early and prevent regressions.

Code-Level Context

Provides detailed context including logs, environment data, and suspect commits to understand the root cause of errors.

AI-Powered Insights

Leverages AI to classify issues and provide insights that accelerate error resolution and reduce guesswork.

Multi-Language and Framework Support

Supports over 10 languages and frameworks including JavaScript, React, Android, iOS, Flutter, React Native, Roku, and Electron.

Integration with Full Observability Platform

Seamlessly expands into Datadog’s full observability suite for performance monitoring and user behavior analytics.

Easy Setup and SDKs

Offers SDKs and setup instructions for browser, mobile, backend, and various platforms to start tracking errors quickly.

Prioritization by Impact

Prioritizes issues based on user impact and error volume to focus development efforts on what matters most.

Who It's For

How to Use

Select Error Types to Track

Choose the languages and frameworks your application uses to configure error tracking accordingly.

Install SDKs

Integrate the appropriate Datadog SDKs into your application codebase for browser, mobile, or backend environments.

Initialize Error Tracking

Initialize the error tracking with your application ID, client token, environment, and other configuration parameters.

Monitor Errors in Real-Time

Use the Datadog platform to view grouped errors, receive alerts, and prioritize issues based on impact.

Debug with Context and AI Insights

Leverage detailed logs, environment data, suspect commits, and AI-powered classification to identify root causes and fix errors.

Pricing

Pricing details are gathered from the official Datadog Error Tracking website and are provided for reference only. Always confirm the latest information directly with the vendor.

Plan	Price	Highlights
AI Credits Plan	$500	500 AI credits for features like Bits Chat, Bits Investigation, Bits Code, and Bits Agent Builder Billed annually or $1.30 per credit on-demand Includes AI-powered telemetry analysis and automated investigations
Free Trial	Free	Access to core error tracking features Ability to explore telemetry and alerts No cost for initial evaluation

Found a change in pricing? We welcome corrections. Reach out so we can keep this listing accurate.

Pros & Cons

Pros

Supports a wide range of programming languages and frameworks.
Integrates error tracking with broader observability and performance monitoring.
Provides AI-powered insights and automated issue classification.
Real-time alerting helps catch and fix issues early.
Detailed contextual data aids in faster root cause analysis.

Cons

Pricing details are not fully transparent and may require contacting sales.
Primarily designed for users already using or willing to adopt Datadog platform.
May have a learning curve due to extensive features and integrations.
AI features consume credits which may add to cost depending on usage.
Some advanced features may be complex for small teams or individual developers.

Use Cases

Explore tools grouped by use case so you can keep researching without losing momentum.

Frequently Asked Questions

Alternatives

Compare other vetted products our editors see buyers evaluate alongside Datadog Error Tracking.

Ratings & reviews

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Key Features

Automatic Error Grouping

Errors are automatically grouped into issues using stack traces, messages, and runtime metadata to simplify triage and reduce noise.

Real-Time Alerts

Get alerts for new, recurring, and high-volume errors prioritized by impact to act early and prevent regressions.

Code-Level Context

Provides detailed context including logs, environment data, and suspect commits to understand the root cause of errors.

AI-Powered Insights

Leverages AI to classify issues and provide insights that accelerate error resolution and reduce guesswork.

Multi-Language and Framework Support

Supports over 10 languages and frameworks including JavaScript, React, Android, iOS, Flutter, React Native, Roku, and Electron.

Integration with Full Observability Platform

Seamlessly expands into Datadog’s full observability suite for performance monitoring and user behavior analytics.

Easy Setup and SDKs

Offers SDKs and setup instructions for browser, mobile, backend, and various platforms to start tracking errors quickly.

Prioritization by Impact

Prioritizes issues based on user impact and error volume to focus development efforts on what matters most.

Who It's For

How to Use

Select Error Types to Track

Choose the languages and frameworks your application uses to configure error tracking accordingly.

Install SDKs

Integrate the appropriate Datadog SDKs into your application codebase for browser, mobile, or backend environments.

Initialize Error Tracking

Initialize the error tracking with your application ID, client token, environment, and other configuration parameters.

Monitor Errors in Real-Time

Use the Datadog platform to view grouped errors, receive alerts, and prioritize issues based on impact.

Debug with Context and AI Insights

Leverage detailed logs, environment data, suspect commits, and AI-powered classification to identify root causes and fix errors.

Pricing

Pricing details are gathered from the official Datadog Error Tracking website and are provided for reference only. Always confirm the latest information directly with the vendor.

Plan	Price	Highlights
AI Credits Plan	$500	500 AI credits for features like Bits Chat, Bits Investigation, Bits Code, and Bits Agent Builder Billed annually or $1.30 per credit on-demand Includes AI-powered telemetry analysis and automated investigations
Free Trial	Free	Access to core error tracking features Ability to explore telemetry and alerts No cost for initial evaluation

Found a change in pricing? We welcome corrections. Reach out so we can keep this listing accurate.

Pros & Cons

Pros

Supports a wide range of programming languages and frameworks.
Integrates error tracking with broader observability and performance monitoring.
Provides AI-powered insights and automated issue classification.
Real-time alerting helps catch and fix issues early.
Detailed contextual data aids in faster root cause analysis.

Cons

Pricing details are not fully transparent and may require contacting sales.
Primarily designed for users already using or willing to adopt Datadog platform.
May have a learning curve due to extensive features and integrations.
AI features consume credits which may add to cost depending on usage.
Some advanced features may be complex for small teams or individual developers.

Use Cases

Explore tools grouped by use case so you can keep researching without losing momentum.

Frequently Asked Questions

Alternatives

Compare other vetted products our editors see buyers evaluate alongside Datadog Error Tracking.

Datadog Error Tracking

Overview

Featured Video

Key Features

Automatic Error Grouping

Real-Time Alerts

Code-Level Context

AI-Powered Insights

Multi-Language and Framework Support

Integration with Full Observability Platform

Easy Setup and SDKs

Prioritization by Impact

Who It's For

How to Use

Select Error Types to Track

Install SDKs

Initialize Error Tracking

Monitor Errors in Real-Time

Debug with Context and AI Insights

Pricing

Pros & Cons

Pros

Cons

Use Cases

Frequently Asked Questions

Alternatives

Ratings & reviews

Featured Video

Key Features

Automatic Error Grouping

Real-Time Alerts

Code-Level Context

AI-Powered Insights

Multi-Language and Framework Support

Integration with Full Observability Platform

Easy Setup and SDKs

Prioritization by Impact

Who It's For

How to Use

Select Error Types to Track

Install SDKs

Initialize Error Tracking

Monitor Errors in Real-Time

Debug with Context and AI Insights

Pricing

Pros & Cons

Pros

Cons

Use Cases

Frequently Asked Questions

Alternatives

Ratings & reviews