Sold by: Datadog
Deployed on AWS
Quick Launch
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
Free trial: Click "Continue to Subscribe" and create a new Datadog account to receive a 14-day free trial of all Datadog features. At the end of your free trial, your account will automatically convert to a paid Pay-As-You-Go plan detailed in this listing.
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.
Details
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Buyer guide
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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 actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Infra Pro Hosts per hour | Infra Pro Hosts per hour | $0.03 |
Additional Containers per hour | Additional Containers per hour | $0.002 |
Additional Custom Metrics per hour (per 100 Metrics) | Additional Custom Metrics per hour (per 100 Metrics) | $0.008 |
APM Hosts per hour | APM Hosts per hour | $0.06 |
APM Analyzed Spans per hour - 15 Day Retention (Per 1 Million) | APM Analyzed Spans per hour - 15 Day Retention (Per 1 Million) | $2.55 |
Indexed Log Events per hour - 15 Day Retention (Per 1 Million) | Indexed Log Events per hour - 15 Day Retention (Per 1 Million) | $2.55 |
Ingested Logs per hour (Per 1 GB) | Ingested Logs per hour (Per 1 GB) | $0.10 |
Synthetics API Tests per hour (Per 10K test runs) | Synthetics API Tests per hour (Per 10K test runs) | $7.20 |
Synthetics Browser Checks per hour (Per 1K test runs) | Synthetics Browser Checks per hour (Per 1K test runs) | $18.00 |
Serverless Functions per hour (no longer offered) | Serverless Functions per hour (no longer offered) | $0.012 |
Dimensions summary
You pay per hour based on what you actually use, with no upfront commitment. Each dimension bills a different resource independently, so you only add what you monitor. Host-based dimensions cover infrastructure, application performance (APM), network, and profiled hosts. Volume-based dimensions bill logs, spans, custom metrics, synthetic tests, user sessions, and serverless activity in set units like per GB or per million events. Containers, custom metrics, and analyzed spans act as usage add-ons beyond included allotments. A separate consumption unit covers additional Datadog usage. Dimensions combine freely to match your monitoring needs.
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. A billable APM host is one actively generating traces submitted to Datadog. Uninstrumented hosts like databases or load balancers do not count, even with APM enabled.
Each host license includes an allotment, such as containers per host and custom metrics per host. Usage above these allotments bills through the separate add-on dimensions like Additional Containers per hour or Additional Custom Metrics per hour. Metrics and containers are averaged across your whole account, not per host.
Ingested Logs bill per GB for processing and archiving all your logs. Indexed Log Events bill separately per million events for the logs you keep searchable during a 15-day retention window. Both charges apply at once, so ingesting everything while indexing selectively controls cost.
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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
Vendor 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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Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Multi-Source Data Integration
Collects and correlates data from more than 600 vendor-backed technologies and APM libraries in a single unified interface
Infrastructure and Application Monitoring
Monitors underlying infrastructure, supporting services, applications, and security data simultaneously within a single observability platform
Unified Observability Dashboard
Provides full visibility into the health and performance of each layer of the environment through a single pane of glass
Rapid Deployment and Setup
Enables quick deployment through turn-key integrations and easy-to-install agent for monitoring servers and resources
Security and Threat Mitigation
Integrates security data and threat detection capabilities to identify and mitigate security threats across the monitored environment
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
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Customer reviews
Spencer B.
Unified Global Visibility and AI, Despite Cost Management Complexity
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
I like how Datadog seamlessly consolidates global environments and regions in a single interface. The multi-region visibility lets us scale our footprint without adding operational friction.
What do you dislike about the product?
My biggest frustration with Datadog is how complex cost management can get to monitor across an environment, especially with log ingestion and custom metrics.
What problems is the product solving and how is that benefiting you?
We use Datadog to solve fragmented communication, regional visibility gaps, and platform sprawl as our infrastructure grows.
Alfred M.
Unified Observability That Speeds Incident Response
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
I rely on Datadog every day as our central command center for full-stack observability. I value its seamless observability engine and automated data correlation.
What do you dislike about the product?
Nothing till now.
What problems is the product solving and how is that benefiting you?
I use Datadog as our central command center for full-stack observability. It helps solve slow incident response caused by fragmented monitoring tools and telemetry silos.
Guy W.
Clean, Intuitive Monitoring for Better Postmortems
Reviewed on Oct 18, 2026
Review provided by G2
What do you like best about the product?
I like Datadog’s professional layout and clean design, and it’s easy to use for everyday monitoring. The visual design makes dense system graphs, log timelines, and metric widgets feel intuitive rather than chaotic.
What do you dislike about the product?
I find some parts of the UI complex, and I run into feature limitations when I try to customize things more deeply.
What problems is the product solving and how is that benefiting you?
I use Datadog to make thorough, accurate postmortems and historical issue investigations less difficult.
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.