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.
Details
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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.
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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 Enterprise Hosts | Centralize your monitoring of systems and services (Per Host) | $27.00 | |
APM Hosts | Optimize end-to-end application performance (Per APM Host) | $36.00 | |
App Analytics | Analyze performance metrics (Per 1M Analyzed Spans / 15-day retention) | $2.04 | |
Custom Metrics | Monitor your own custom business metrics (Per 100 Custom Metrics) | $5.00 | |
Indexed Logs | Analyze and explore log data (Per 1M Log Events / 15-day retention) | $2.04 | |
Ingested Logs | Ingest all your logs (Per 1GB 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 Environment (Per Fargate Task) | $1.20 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
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
This contract bundles many independent usage dimensions that you commit to under one Enterprise agreement. Each dimension bills by its own unit. Host-based dimensions (Infra Enterprise Hosts, APM Hosts, Network Hosts, Profiled Hosts) price per monitored host. Container and device dimensions price per container or device. Log dimensions split by ingestion (per GB) and indexing (per million events, with 15-day or 30-day retention). Synthetics price per batch of test runs, and Real User Monitoring per 10K sessions. Custom Metrics bill per 100 metrics. You mix and match these units to match your workload. Several listed dimensions are deprecated for new customers.
Top-of-mind questions for buyers
An APM Host is any host actively generating traces sent to Datadog, including an OpenTelemetry Collector. Hosts running services that are not instrumented, such as databases, caches, queues, and load balancers, do not count even if APM is enabled on them. Containers running on a host do not change the per-host count.
Ingested Logs bill per GB of uncompressed data processed. Indexed Logs bill per million log events, with 15-day or 30-day retention options. If your log volume exceeds your committed amount, the extra volume is billed at the overage rate. A high-volume day alone does not raise your bill if your monthly average stays within commitment.
They bill independently and both appear on the same invoice. APM Hosts price per monitored host and include a default span ingestion and indexing allotment summed across all your APM hosts. App Analytics bills per million analyzed spans with 15-day retention, covering spans you retain beyond that allotment. Host count usually drives the base cost.
www.datadoghq.com
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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
Support
Vendor support
Contact our knowledgable Support Engineers via email, live chat, or in-app messages
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Multi-Vendor Integration
Supports integration with more than 600 vendor-backed technologies and APM libraries for comprehensive data collection and correlation.
Unified Observability Platform
Provides monitoring of infrastructure, supporting services, applications, and security data in a single pane of glass.
Agent-Based Monitoring
Includes easy-to-install agent for rapid deployment to monitor servers and resources across environments.
Infrastructure and Application Performance Monitoring
Enables visibility into health and performance across all layers of the environment including underlying infrastructure and applications.
Security Data Integration
Correlates security data alongside infrastructure and application metrics within the observability platform.
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
Elba R.
Real-Time Tracing and Integrations, Challenging Setup
Reviewed on Nov 03, 2026
Review provided by G2
What do you like best about the product?
I value Datadog’s real-time tracing engine and its integrations.
What do you dislike about the product?
I find Datadog’s initial installation and configuration quite complex, particularly in a containerized Docker setup.
What problems is the product solving and how is that benefiting you?
I use Datadog for application performance and real-user monitoring. Its real-time tracing and integrations help me connect application errors with user input, and I get real-time latency alerts and error notifications during major performance drops.
Robert H.
Unified Multi-Cloud Visibility, but Agent Setup Takes Effort
Reviewed on Oct 28, 2026
Review provided by G2
What do you like best about the product?
I value Datadog's deep visibility across heterogeneous multi-cloud environments. I appreciate the out-of-the-box AWS and GCP integrations, which let us pull high-resolution metrics from EC2, EKS, and GCP services with consistent, reliable tagging.
What do you dislike about the product?
I found the initial agent setup and configuration complex.
What problems is the product solving and how is that benefiting you?
Datadog solves our multi-cloud visibility fragmentation and the complexity of managing native cloud monitoring tools.
Maribel B.
Powerful Log Insights, but a Cluttered Interface
Reviewed on Oct 26, 2026
Review provided by G2
What do you like best about the product?
I rely on Datadog as our primary centralized hub for monitoring the software development life cycle. I like its granular log filtering and flexible data visualization.
What do you dislike about the product?
I find Datadog’s user interface can feel messy and cluttered for novice users.
What problems is the product solving and how is that benefiting you?
I use Datadog to address application debugging, log fragmentation, and incident management across development environments.
Marlene A.
Fast AWS Setup, Powerful Visibility—But Pricing Adds Up
Reviewed on Oct 25, 2026
Review provided by G2
What do you like best about the product?
I use Datadog as my primary observability platform for real-time visibility across our AWS systems. It helps me avoid switching between separate tools when investigating a backend slowdown.
What do you dislike about the product?
I find Datadog's pricing steep, and its documentation complex.
What problems is the product solving and how is that benefiting you?
I use Datadog to avoid context switching and fragmented observability during production instances.
Elsie T.
Unifies Complex Data with Smooth, Efficient Setup
Reviewed on Oct 24, 2026
Review provided by G2
What do you like best about the product?
I use Datadog as our primary central platform to consolidate heterogeneous data across our tech stack. I like monitoring networks and being able to ingest data from different sources and index it under a unified pattern schema.
What do you dislike about the product?
I dislike disabled features.
What problems is the product solving and how is that benefiting you?
Datadog solves data fragmentation for us and the operational bottlenecks created by isolated monitoring networks.