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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Features and programs
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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 |
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) .
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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
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 Datadog
By LogicMonitor
By Observe, Inc.
Top
10
In Log Analysis, Monitoring
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
Mixed reviews
Negative reviews
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 observability metrics to identify threats and performance issues
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
Emilio G.
All-in-One Observability That Speeds Up Root Cause Analysis
Reviewed on Mar 05, 2026
Review provided by G2
What do you like best about the product?
I like the concept overall, the system that tracks every data point your applications provide and you can collect and analyse it in a single space.
It basically allows to find the root cause of issues much faster as you are able to correlate data from different sources (server load, logs, network performance etc.)
And because of all those data agregated in one place you can setup notifications based on multiple metrics together, not just one. Or even do something with webhook.
It basically allows to find the root cause of issues much faster as you are able to correlate data from different sources (server load, logs, network performance etc.)
And because of all those data agregated in one place you can setup notifications based on multiple metrics together, not just one. Or even do something with webhook.
What do you dislike about the product?
I personally don't really enjoy Datadog's interface, it does look modern and UI elements are small, but I don't have any other complaints so far.
What problems is the product solving and how is that benefiting you?
Datadog allows to identify what caused some problem fast, closely monitor systems with useful notifications that based on multiple metrics, and improve and analyse performace of applications I manage.
Abednego Petrus
Unified monitoring has improved incident detection and reduced resolution time across our stack
Reviewed on Jan 22, 2026
Review from a verified AWS customer
What is our primary use case?
Datadog 's main use case is end-to-end monitoring that helps check problems across infrastructure, application, database, security, and logs.
For example, when checking a problem with a mobile application such as an error from a user hitting a transaction, we check from the client-side mobile device and also from the back end for the API to see if there is latency or an error that triggers the problem. There may be an issue on the database, such as a locking query or high latency on query performance. For infrastructure, if the application is slow, it may be impacted on infrastructure monitoring by CPU and memory consumption.
Datadog is a powerful observability tool that allows us to correlate and see problems on the infrastructure or application side. In an incident war room, we can see the correlation and the detailed root cause of the problem across real user monitoring, application, database, and infrastructure.
How has it helped my organization?
Datadog has positively impacted our organization because our customers are very happy using it. With silo monitoring, where infrastructure has separate monitoring, application has another, and cloud has another, it becomes tricky and complex. We cannot correlate the silo monitoring, and pricing is complicated. With Datadog, we can centralize and use one observability tool for monitoring all components across all features or modules, unifying the monitoring process.
Regarding specific outcomes, I observe that tools with Datadog's capabilities enable us to quickly achieve mean time to detect problems. We can specifically check the root cause analysis of issues from the infrastructure, application, database, or security sides. Mean time to resolve is improved with Datadog since it provides many suggestions and actions to resolve problems, which heavily impacts the business for our application customers when issues arise.
What is most valuable?
Datadog's best feature is real user monitoring.
I prefer Datadog's real user monitoring most because of its analytics capabilities. First, Datadog is recognized in the Gartner Digital Experience for real user monitoring. Second, the analytics capability is very powerful, enabling us to check the experience of customers first. We can also correlate with the back-end side of the performance for real user monitoring and application monitoring. Finally, the capability of metrics within real user monitoring provides many helpful insights for mobile developers to improve their mobile application performance.
What needs improvement?
Datadog could improve its pricing because it is very tricky, and most of our customers notice many hidden costs. Additionally, if possible, Datadog should offer deployment options not only for SaaS but also for on-premises solutions, which would benefit banking transactions.
Regarding pricing, it remains tricky with many hidden costs. For technological enhancement, there could be an on-premises option alongside the SaaS version. I also find setting up and configuring Datadog to be very complex.
For how long have I used the solution?
I have been using Datadog for two years.
What do I think about the stability of the solution?
Datadog is very stable, and the features are quickly updated because the research and development process moves swiftly, making it reliable for fixes and updates.
What do I think about the scalability of the solution?
Datadog's scalability is very strong due to its cloud-native distributed architecture, massive data capability, extensive integration ecosystem, seamless expansion, and real-world scalability evidence.
How are customer service and support?
Customer support is very good because there is extensive support from Datadog, including live chat, ticketing, and a very high SLA of 99.98%.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I was using Instana and Dynatrace as different solutions before Datadog.
What was our ROI?
I have seen a return on investment because Datadog helps save money and reduces the need for fewer employees while also saving time, which is very beneficial.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup costs, and licensing is that it is very tricky due to many hidden costs, so we need to check repeatedly for allotments and commitments regarding what we receive from the license.
Which other solutions did I evaluate?
I evaluated other options before choosing Datadog, specifically Dynatrace .
What other advice do I have?
My advice for others looking into using Datadog is to initially simplify the technical setup and configuration. Secondly, regarding pricing mechanisms, it would be wise to commit to clear allotments to avoid hidden costs for customers, as it significantly impacts pricing.
I believe Datadog is the largest single observability platform, with correlation as a differentiation factor, enterprise readiness as a measure, and cost management now being a key topic with a very clear roadmap and direction. I would rate this product nine out of ten.
Accounting
Fast, Unified Observability That Speeds Up Production Root-Cause Analysis
Reviewed on Jan 21, 2026
Review provided by G2
What do you like best about the product?
What I like best about Datadog is how fast it helps teams understand what’s actually happening in production. The platform brings logs, metrics, traces, and real-time alerts into a single, intuitive view, so you’re not jumping between tools when something goes wrong. That unified observability makes it much easier to identify root causes quickly, especially in complex, distributed systems.
What do you dislike about the product?
Cost can escalate quickly. Pricing is usage-based, so as log volume, metrics, or hosts scale up, it’s easy for costs to grow faster than expected if usage isn’t closely monitored.
What problems is the product solving and how is that benefiting you?
Datadog is solving the core problem of not knowing what’s happening inside your systems when it matters most, and it benefits you by saving time, reducing stress, and helping you make better decisions.
Gaurav k.
Comprehensive APM with Installation Challenges
Reviewed on Jan 09, 2026
Review provided by G2
What do you like best about the product?
I like Datadog for its real-time traces and the ability to connect real user monitoring (RUM) with application performance monitoring (APM). This is very useful for me because it helps trace errors and map them with the real user experience. I also find it easy to reproduce cases with the detailed summary available in the dashboard.
What do you dislike about the product?
I find the installation process a bit complex, especially when setting it up on a Docker-based setup. It's very much difficult to set up compared to a normal VM-based server.
What problems is the product solving and how is that benefiting you?
I use Datadog to check latency, pinpoint errors, and trace errors effectively. The real-time traces and APM-RUM connection are useful for mapping errors with user experience and reproducing cases with detailed dashboards.
saurabh r.
All-in-One Monitoring with Real-Time Insights
Reviewed on Jan 08, 2026
Review provided by G2
What do you like best about the product?
It brings metrics, logs, traces, and alerts into a single, intuitive platform.
Real-time dashboards and powerful visualizations make it easy to identify issues quickly.
Real-time dashboards and powerful visualizations make it easy to identify issues quickly.
What do you dislike about the product?
Fine-tuning alerts and dashboards often takes time to avoid noise and false positives.
What problems is the product solving and how is that benefiting you?
It centralizes metrics, logs, traces, and alerts across applications, infrastructure, and cloud services in one platform.