Sold by: Datadog
Deployed on AWS
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Datadog is a SaaS-based unified observability and security platform providing full visibility into the health and performance of each layer of your environment at a glance.
4.4
Overview
Datadog is a SaaS-based unified observability and security platform providing full visibility into the health and performance of each layer of your environment at a glance. Datadog allows you to customize this insight to your stack by collecting and correlating data from more than 600 vendor-backed technologies and APM libraries, all in a single pane of glass. Monitor your underlying infrastructure, supporting services, applications alongside security data in a single observability platform.
Prices are based on committed use per month over total term of the agreement (the Total Expected Use).
Highlights
- Get started in minutes from AWS Marketplace with our enhanced integration for account creation and setup. Turn-key integrations and easy-to-install agent to start monitoring all of your servers and resources in minutes.
- Quickly deploy modern monitoring and security in one powerful observability platform.
- Create actionable context to speed up, reduce costs, mitigate security threats and avoid downtime at any scale.
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Quick Launch
Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Infra Hosts | 350+ integrations, alerting, custom metrics & unlimited user accounts | $18.00 | |
APM Hosts | Monitor, troubleshoot, and optimize end-to-end application performance | $36.00 | |
App Analytics Add-On | Drill down on performance metrics (Per Analyzed Span) | $2.04 | |
Custom Metrics | Monitor your own custom business metrics (Per 100 custom metrics) | $5.00 | |
Indexed Logs | 15-day retention (Per million log events) | $2.04 | |
Ingested Logs | (Per 1 GB Ingested Logs) | $0.10 | |
Synthetics API Tests | Proactively monitor site availability (Per 10K test runs) | $6.00 | |
Synthetics Browser Tests | Easily monitor critical user journeys (Per 1K test runs) | $15.00 | |
Serverless Functions | Deprecated. Not available for new customers | $6.00 | |
Fargate Tasks | Monitor your Fargate Tasks | $1.20 |
Dimension | Description | Cost/unit |
|---|---|---|
Custom dimension used for select private offers | Custom dimension used for select private offers | $1.00 |
consumption_unit | Additional Datadog Consumption Units | $0.01 |
Dimensions summary
You buy Datadog Pro under a contract with separately priced dimensions you can combine. Core monitoring bills per host for Infra Hosts and APM Hosts. Container-based dimensions (Containers, Fargate Tasks, Profiled Containers) bill per unit, while Profiled Hosts and Network Hosts bill per host. Log dimensions bill by ingested volume (per GB) or indexed events (per million), with 15-day and 30-day retention options. Usage add-ons scale by volume: custom metrics per 100, synthetic tests per test-run blocks, RUM per user sessions, and security-analyzed logs per GB. Some serverless dimensions are deprecated. Custom and consumption-unit dimensions support private offers.
Top-of-mind questions for buyers
A host is any physical or virtual OS instance you monitor, such as a server, VM, or Kubernetes node. For APM Hosts, only hosts actively generating traces sent to Datadog count. Uninstrumented hosts like databases or load balancers do not count, even if the agent is present.
You keep full visibility and are not rate-limited on any single day. You pay only for volume that exceeds your commitment. Indexed Logs and Ingested Logs bill separately: ingested logs by GB, indexed logs by million events under 15-day or 30-day retention. Both charges appear together.
Container charges apply per container and are billed independently from host charges. Each host license includes an allotment of containers, and additional containers meter per unit on top. Both host charges and container charges appear on the same invoice simultaneously.
www.datadoghq.com
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Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Contact our knowledgable Support Engineers via email, live chat, or in-app messages
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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By Datadog
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In Log Analysis, Monitoring
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In Monitoring and Observability, Migration
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In Application Performance and UX Monitoring
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
Multi-Vendor Integration
Collects and correlates data from more than 600 vendor-backed technologies and APM libraries in a single platform
Unified Observability Dashboard
Provides full visibility into health and performance across all environment layers in a single pane of glass
Infrastructure and Application Monitoring
Monitors underlying infrastructure, supporting services, applications, and security data simultaneously
Agent-Based Deployment
Includes easy-to-install agent for rapid deployment and monitoring of servers and resources
Security and Performance Analytics
Integrates security data with performance monitoring to enable threat mitigation and downtime prevention
Automated Device Discovery and Configuration
Automatic recognition and configuration of 2,000+ technologies with preconfigured alert thresholds and best practices-based setup without manual intervention
Agentless Monitoring Architecture
Agentless Collector deployment enabling hybrid and multi-cloud visibility with reduced operational overhead and no requirement for continuous agent upgrades
Unified Multi-Environment Visibility
Single-pane-of-glass monitoring across on-premises, hybrid, and multi-cloud infrastructures including AWS services with panoramic performance visibility
Flexible Data Collection Mechanism
Capability to pull metrics from virtually any device or API with support for custom graphs, dashboards, and alerts for application status analysis and trend identification
Performance Forecasting and Customizable Dashboards
Built-in performance forecasting capabilities combined with rich, customizable dashboards and full reporting functionality for actionable infrastructure insights
Data Ingestion and Query Performance
Ingests petabytes of telemetry per day with capability to process hundreds of terabytes and execute tens of millions of queries daily without performance degradation
Knowledge Graph Architecture
Utilizes O11y Knowledge Graph to structure and correlate data across logs, metrics, and traces for fast search and correlation capabilities
Natural Language Processing for Incident Analysis
Implements O11y AI to enable troubleshooting of complex incidents using natural language queries for accelerated root cause analysis
Open Data Lake Foundation
Built on Snowflake data lake architecture providing open data storage without vendor lock-in and enabling cost-efficient telemetry retention
Multi-Signal Correlation
Correlates and contextualizes data across logs, metrics, and traces to provide unified observability across multiple teams and use cases
Standard contract
No
Customer reviews
Rogelio H.
Unifies Fragmented Observability with Powerful Integrations
Reviewed on Oct 17, 2026
Review provided by G2
What do you like best about the product?
I like having Datadog as a central place to bring together heterogeneous data and make it instantly queryable under a single schema. The wide range of integrations lets me connect database clusters, cloud provider APIs, and container orchestrators without writing complex scrapers.
What do you dislike about the product?
My biggest complaint with Datadog is the time involved.
What problems is the product solving and how is that benefiting you?
I rely on Datadog as our central observability engine to bring together heterogeneous data across our infrastructure, solving data fragmentation and the operational friction of isolated silos.
Rose E.
Granular Observability, Fast Setup—But a Crowded UI
Reviewed on Oct 16, 2026
Review provided by G2
What do you like best about the product?
I like Datadog’s granularity across the platform, along with its interactive filters and streamlined searches. They make searching user-friendly and efficient, and help me find errors and performance bottlenecks across log lines and microservices. Datadog turns a flood of logs and telemetry into actionable diagnostic insights.
What do you dislike about the product?
I find Datadog’s interface can feel a little overwhelming, with so much data, menus, and controls packed onto the screen, especially for a new user.
What problems is the product solving and how is that benefiting you?
We use Datadog to turn an overwhelming flood of system logs and telemetry into actionable diagnostic insights.
Terrie P.
Effortless Integrations, Clear Dashboards for DevOps
Reviewed on Oct 14, 2026
Review provided by G2
What do you like best about the product?
I like how easy Datadog is to integrate with existing systems, and how little effort it takes to set up data collection across our servers and cloud integrations.
What do you dislike about the product?
I have very few complaints about Datadog itself, but it becomes more valuable the more time and effort I put into configuring it.
What problems is the product solving and how is that benefiting you?
I use Datadog to solve the massive operational headache of building, maintaining, and scaling custom in-house monitoring and alerting systems.
Josh P.
Unified Monitoring with Expanding AI, Cost Management Challenges
Reviewed on Oct 12, 2026
Review provided by G2
What do you like best about the product?
I like how seamlessly Datadog consolidates global environments and regions while continuing to expand its built-in AI innovation.
What do you dislike about the product?
My biggest frustration with Datadog is how complex cost management can get in monitored environment access, because log ingestion and custom monitoring can drive up costs unexpectedly.
What problems is the product solving and how is that benefiting you?
I use Datadog to solve communication and regional visibility gaps, and platform sprawl in our infrastructure.
Stephan L.
Seamless Observability with Datadog
Reviewed on Oct 10, 2026
Review provided by G2
What do you like best about the product?
I find the seamless observability engine of Datadog to be a standout feature. It allows us to automate out of the box data correlation, which is incredibly helpful. When an alert triggers or there's a performance anomaly, I can pick a metric data point instantly to the corresponding log line with distributed ATM traces without losing context.
What do you dislike about the product?
None.
What problems is the product solving and how is that benefiting you?
I use Datadog to seamlessly trace metrics to logs with distributed ATM traces, helping our engineers pinpoint root causes quickly. It integrates with Slack and PagerDuty for alerts, reducing investigation time from hours to seconds.