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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Features and programs
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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 |
Vendor refund policy
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
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.
Updated weekly
By LogicMonitor
By Observe, Inc.
Top
25
In Log Analysis
Top
10
In Monitoring and Observability, Migration
Top
10
In Application Performance and UX Monitoring
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
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Negative reviews
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
Enables troubleshooting of complex incidents using natural language queries through O11y AI for accelerated root cause analysis
Open Data Lake Foundation
Built on Snowflake data lake architecture providing open data storage without vendor lock-in
Multi-Signal Correlation
Correlates and correlates telemetry signals across logs, metrics, and traces with context-aware analysis for incident resolution
Standard contract
No
Customer reviews
Kunal G.
Feature-Rich with Room for UI Improvement
Reviewed on Apr 03, 2026
Review provided by G2
What do you like best about the product?
I really like that Datadog gives us developers a unified view into multiple aspects of the software's development lifecycle. It handles logging, metrics, observability, telemetry, and error reporting all together. I specifically appreciate being able to filter logs based on multiple aspects and set parameters, which makes it easy to check logs for particular users or domains. It also simplifies the visualization of log occurrences through pie charts, graphs, and histograms, and these can be exported and shared with colleagues to derive insights. Additionally, the initial setup is straightforward, and the enterprise team helps streamline things, while there is ample online support and community resources available for problem-solving.
What do you dislike about the product?
Sometimes the UI can appear messy and cluttered, especially to novice users. It made me feel overwhelmed when I first started using it because there were so many buttons and features, which makes the learning curve a bit steep for newcomers.
What problems is the product solving and how is that benefiting you?
I use Datadog to aggregate logs and derive insights, debug applications across environments, and manage incidents through integrations with Slack and PagerDuty. It offers flexibility in log searching and cold storage to save on costs. Overall, it simplifies monitoring and telemetry, making my work easier.
Computer & Network Security
Datadog as a Single Source of Truth for Metrics, Traces, and Logs
Reviewed on Mar 29, 2026
Review provided by G2
What do you like best about the product?
What I like most about Datadog is that it can act as a single source of truth for our entire stack, helping break down the silos between infrastructure metrics, APM, and log management. During an incident, instead of jumping between three different tools, my team can quickly pivot from a spiked CPU metric to the relevant trace and the corresponding logs in just a couple of clicks.
What do you dislike about the product?
The learning curve is pretty steep. Since Datadog has expanded into so many areas (Security, CI Visibility, Real User Monitoring), the UI can feel cluttered and overwhelming—especially for new team members. On top of that, the cost of log indexing and retention is a major hurdle. I like the 'Logging without Limits' concept in theory, but the price gap between ingesting logs and actually being able to search them (indexing) forces us to make tough decisions about what data to keep.
What problems is the product solving and how is that benefiting you?
By combining APM with Quality Gates, we’ve been able to automate our safety checks. We can now clearly see the direct impact each deployment has on our core web vitals and error rates.
Computer & Network Security
DataDog Delivers Deep, Reliable Visibility Across AWS and GCP
Reviewed on Mar 26, 2026
Review provided by G2
What do you like best about the product?
We use DataDog primarily for infrastructure monitoring across EC2 instances, EKS clusters, and more. It gives us full visibility into the critical systems we run, mainly on AWS and GCP. “Very functional” is the best way I can describe it, and it consistently provides deep insights into the systems and resources we operate across both services.
What do you dislike about the product?
I think the setup can be a bit complex, and you may need an understanding of things like agents. I also feel it would be better if there were an easier way to cover more of the resources, because setting up the agents wasn’t very straightforward. On top of that, there are quite a lot of monitoring services, so it can get overwhelming pretty quickly.
What problems is the product solving and how is that benefiting you?
Monitoring, visibility, and observability have been a big focus for us. The core AWS and GCP alerting services aren’t really easy to get up and running, and with so many different services we needed eyes on, we wanted everything in one central system. DataDog really solved that for us.
Modi M.
Essential for Accurate Logging and Issue Resolution
Reviewed on Mar 23, 2026
Review provided by G2
What do you like best about the product?
I use Datadog to check logs and audits, and I appreciate how it shows the timestamps of logs and events, which makes communication with the customer easy and allows our engineering team to fix issues faster. I like the RUM logs and replay sessions because the RUM logs provide an accurate log of success and failures, which helps escalate with the engineering team to fix issues, and the replay session allows us to see how the user interacted with the UI.
What do you dislike about the product?
The UI seems cluttered at times with too many elements. It might be better if there were organized sections to easily access information. For example, if there are device-specific details, they should be under a section labeled 'device' where all related details and geolocations can be found. Also, it took some time to get a hang of it initially.
What problems is the product solving and how is that benefiting you?
Datadog shows log timestamps and events, easing customer communication and speeding issue resolution. RUM logs provide accurate success and failure reports for the engineering team, while replay sessions reveal user interactions with the UI.
Jesse S.
Insightful Monitoring, Quick Integration
Reviewed on Mar 11, 2026
Review provided by G2
What do you like best about the product?
I really like how quickly data shows up in Datadog. It's really quick and easy to integrate webhooks with it, and we can search through the results quickly and easily to find examples of integrations working or not working. Being able to dig into API payloads and understand what's causing issues by looking at API responses in Datadog makes troubleshooting a lot easier for me. The ability to build dashboards and metrics to gain insights on our integrations also stands out.
What do you dislike about the product?
Sometimes, once you have searched for something and it has filtered down to a specific context, it can be difficult to know how to expand the context to include other sources.
What problems is the product solving and how is that benefiting you?
I use Datadog to track errors in integrations, troubleshoot export issues, and check API error rates. It provides insights into system performance and helps me build dashboards to monitor API response times and integration status.