Sold by: DatadogÂ
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.
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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Security credentials achieved
(2)
ISO27001
AWS Security Specialization
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
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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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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
Observability Platform
Unified monitoring and security platform supporting data collection from over 600 vendor-backed technologies and APM libraries
Infrastructure Monitoring
Comprehensive monitoring capabilities for underlying infrastructure, services, and applications in a single interface
Data Correlation
Advanced data correlation mechanism enabling comprehensive insights across different technology layers
Agent-Based Monitoring
Lightweight, easy-to-install agent for collecting performance and health metrics from servers and resources
Multi-Technology Integration
Native support for collecting and analyzing metrics from diverse technology ecosystems and integration libraries
Infrastructure Auto-Discovery
Automated device recognition and configuration for over 2,000 technologies with instant performance metric collection
Hybrid Cloud Monitoring
Comprehensive visibility across on-premises, hybrid, and cloud infrastructures with agentless monitoring capabilities
Performance Metrics Collection
Flexible data collection mechanism capable of pulling metrics from diverse devices and APIs with customizable graphing and dashboarding
Monitoring Coverage
Granular performance monitoring for thousands of technologies with preconfigured alert thresholds
Monitoring Automation
Automatic device detection, configuration, and performance tracking with intelligent, actionable monitoring capabilities
Data Ingestion Capability
Supports petabyte-scale telemetry ingestion with high-performance processing across logs, metrics, and traces
AI-Powered Troubleshooting
Utilizes natural language processing and AI-driven root cause analysis for complex incident investigation
Knowledge Graph Technology
Implements a proprietary Knowledge Graph for structured data correlation and advanced search capabilities
Open Data Lake Architecture
Built on Snowflake data lake infrastructure enabling flexible and scalable telemetry storage and analysis
Multi-Dimensional Telemetry Analysis
Enables context-aware correlation across different observability data types including logs, metrics, and distributed traces
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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No security profile
No security profile
Standard contract
No
Customer reviews
4.3
9 ratings
9 AWS reviews
|
686 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Usman B.
Best for application and infra monitoring
Reviewed on Aug 07, 2025
Review provided by G2
What do you like best about the product?
Data dog is best for infra and app monitoring and best part is easy to configure
What do you dislike about the product?
Quit expensive if you have large environment
What problems is the product solving and how is that benefiting you?
It help to continues monitoring and alerting
Ilja Summala
Alerting and metrics improve monitoring efficiency while pricing presents challenges
Reviewed on Aug 07, 2025
Review provided by PeerSpot
What is our primary use case?
The primary purposes for which Datadog is used include infrastructure monitoring and application monitoring.
The main use case for Datadog integration capabilities is to monitor workloads in public cloud, and those public cloud integrations that reached the public cloud metric natively were helpful or critical for us. We are not using Datadog for AI-driven data analysis tasks, but more cloud-native and vendor-native tools at the moment, and at the time when I was still in my last employer, we didn't use Datadog for the AI piece at all.
What is most valuable?
I find alerting and metrics to be the most effective features of Datadog for system monitoring. It was still cheaper to run Datadog than other alternatives, so the running costs were cheaper because it was SaaS and quite easy to use.
Datadog is only available in SaaS.
What needs improvement?
The pricing nowadays is quite complex.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
For how long have I used the solution?
I have been using Datadog since 2014.
What was my experience with deployment of the solution?
There were no problems with the deployment of Datadog.
The deployment of Datadog just took a few hours.
What do I think about the stability of the solution?
The challenges I encountered while using Datadog were in the early days when the product was missing the ability to monitor Kubernetes and similar features, but they have since added those features. At the moment, I don't think there are too many challenges that I am worrying about.
How was the initial setup?
One person is enough to do the installation.
What other advice do I have?
I am not working with any of these solutions currently because I'm on sabbatical, but I used to work with Datadog six months ago, and now at the moment I'm on sabbatical.
We were using the tools that AWS and Azure came with natively to monitor the AI workflows on their platforms.
I used to work as the CTO at Northcloud, but I no longer work there.
On a scale of one to ten, I rate Datadog an eight out of ten.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Dennis D.
Datadog the best of all
Reviewed on Jul 31, 2025
Review provided by G2
What do you like best about the product?
Its unified in visibility across the whole tech stack
Its seamless in log management.
Has customized dashboards for better support.
Its seamless in log management.
Has customized dashboards for better support.
What do you dislike about the product?
very expensive to use.
its cluttered when dealing with bulky data.
its cluttered when dealing with bulky data.
What problems is the product solving and how is that benefiting you?
Datadog allows servers, databases, and many other tools and services to be monitored across the IT landscape in real time. It will enable one to see the performance of applications and identify problems from a business perspective before they reach the user.
Tejas B.
Great experience
Reviewed on Jul 31, 2025
Review provided by G2
What do you like best about the product?
I like how Datadog brings everything—logs, metrics, and traces—into one place. It makes spotting and fixing issues really simple.
What do you dislike about the product?
It can be a bit complex to set up and tune initially.
What problems is the product solving and how is that benefiting you?
Datadog helps solve the problem of not having full visibility into how applications are performing across services and infrastructure.
For APM, it shows real-time traces, bottlenecks, and error rates, which helps quickly identify and fix performance issues—saving time and improving user experience.
For APM, it shows real-time traces, bottlenecks, and error rates, which helps quickly identify and fix performance issues—saving time and improving user experience.
Akshay A.
Reliable monitoring with deep insights and great integrations
Reviewed on Jul 30, 2025
Review provided by G2
What do you like best about the product?
Datadog provides real-time visibility into infrastructure and application performance with intuitive dashboards and robust alerting. I love how easy it is to set up monitors and correlate metrics, logs, and traces all in one place. The out-of-the-box integrations with AWS, Azure, and Kubernetes are a huge plus and save a lot of setup time.
What do you dislike about the product?
Pricing can ramp up quickly, especially when enabling multiple features like log management, APM, and custom metrics. The UI can feel a bit overwhelming at first, especially for new users. Some configuration options require going deep into documentation.
What problems is the product solving and how is that benefiting you?
Datadog helps us monitor distributed systems across our cloud infrastructure and microservices. It allows our team to identify bottlenecks, debug production issues faster, and ensure uptime through real-time alerts. By having logs, metrics, and traces in a single platform, we reduce context switching and can resolve incidents quicker, ultimately improving reliability and reducing downtime.