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.
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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
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.
Ila R.
Streamlined Monitoring with Enhanced Log Management
Reviewed on Oct 08, 2026
Review provided by G2
What do you like best about the product?
I use Datadog as our primary platform for log management, infrastructure monitoring, and application performance monitoring. I like its overall user interface, smooth navigation, and how seamlessly it handles central log management.
What do you dislike about the product?
I find it annoying that Datadog automatically converts all metric and span tags into lowercase. This can be a hassle when we have existing tags or custom metadata from other sources using camel case or uppercase.
What problems is the product solving and how is that benefiting you?
Datadog solves fragmented log management and disconnected system monitoring, making troubleshooting faster and more straightforward.
Brant H.
Effortless Monitoring with Room for Dashboard Improvement
Reviewed on Oct 07, 2026
Review provided by G2
What do you like best about the product?
I rely on Datadog every single day in our engineering and technical operations team to maintain clear visibility across all our services, active endpoints, and background applications.
What do you dislike about the product?
What I dislike most about Datadog is that the default dashboards for services and specific API endpoints could be much better structured. Additionally, the user interface feels a bit confusing and cluttered.
What problems is the product solving and how is that benefiting you?
Datadog solves the lack of visibility into complex applications and distributed service endpoints. It provides deep log visibility, metric tracking, and trace management, making diagnosing issues incredibly fast.
Aditya M.
Helpful monitoring without the hassle
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
It’s really helpful when we have a slow application or an issue that’s hard to track down. I can quickly see which service or request is causing the problem instead of going through different logs manually. It makes troubleshooting a lot quicker, especially when we’re dealing with issues across multiple services.
What do you dislike about the product?
One limitation I’ve noticed with Datadog is the pricing around log ingestion. If you have a lot of logs coming in, the costs can add up pretty quickly, especially in a larger environment. We have to be selective about what we send to Datadog and keep an eye on usage so the bill doesn’t grow unexpectedly.
What problems is the product solving and how is that benefiting you?
Datadog mainly helps us avoid spending too much time trying to figure out where an issue is coming from. We can monitor our applications, infrastructure, and logs in one place, which makes it easier to spot problems and troubleshoot them. The alerts are also useful because we can know about an issue before users start reporting it. For me, the biggest benefit is that the team can respond faster and spend less time jumping between different monitoring tools.