Sold by: DatadogÂ
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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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Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.
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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 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.
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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
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Standard contract
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Customer reviews
Pavan kumar S.
Effortless Monitoring Across Platforms with Datadog
Reviewed on Nov 26, 2025
Review provided by G2
What do you like best about the product?
A lot to consider about Datadog: mainly, it is used to monitor a wide range of applications and infrastructure. Application monitoring for container-based, server-based, and web-based applications. Also the it reduces the human effort for checking the exact error.
It is easy to use and supports different kinds of platforms like AWS, Azure, and GCP. Installation is very easy. Datadog provides all the required documents for integrating the agent. We can use the predefined dashboard templates many times, which is a lifesaver if we have repeated monitoring services.
Large-scale monitoring services and tracking are very easy, and the UI is clean, and we can find every service and access the running process via UI as well.
It is easy to use and supports different kinds of platforms like AWS, Azure, and GCP. Installation is very easy. Datadog provides all the required documents for integrating the agent. We can use the predefined dashboard templates many times, which is a lifesaver if we have repeated monitoring services.
Large-scale monitoring services and tracking are very easy, and the UI is clean, and we can find every service and access the running process via UI as well.
What do you dislike about the product?
There are only a few things that I was not satisfied with Datadog, those are.
Cost is somewhat high; we have to pay even we utilize the resources or not.
And the main con is the customer support; they only deal via email, and we have to dump the log data into their storage. They first analyse the logs and come back to us; it will typically take 24-36 hours, which has an impact on the clients. Also, they only come on a call on production issues.
Cost is somewhat high; we have to pay even we utilize the resources or not.
And the main con is the customer support; they only deal via email, and we have to dump the log data into their storage. They first analyse the logs and come back to us; it will typically take 24-36 hours, which has an impact on the clients. Also, they only come on a call on production issues.
What problems is the product solving and how is that benefiting you?
Wide range, like we need to sit in front of the servers or app all the time. If there is any error, it will send an email or notifications regarding the error. So no need to worry.
Johnny C.
Comprehensive and Dynamic Monitoring for a Complete End-to-End View
Reviewed on Nov 25, 2025
Review provided by G2
What do you like best about the product?
its end-to-end monitoring since it shows us everything we need to see and likewise see what is consumed and all its logs, traces, metrics in a more dynamic way
What do you dislike about the product?
its way of containers that makes the price go up if not configured properly
What problems is the product solving and how is that benefiting you?
Before, I had to check five different tools: one to see the CPU usage of my servers (Metrics), another to find out what caused the error (Logs), and another to see which part of the code slowed down (Traces). This is slow and makes me waste time jumping between tabs.
Om T.
Comprehensive Monitoring, But Setup Could Improve
Reviewed on Nov 18, 2025
Review provided by G2
What do you like best about the product?
I love how Datadog integrates seamlessly into a multi-cloud platform, providing real-time metrics that are crucial for monitoring and observability. The highly customizable dashboards allow me to tailor the analytics to fit my exact needs while the fine-tuning alert options ensure that I am always informed without being overwhelmed. These combined features help significantly in tracking system performance metrics and logs, greatly aiding in root cause analysis (RCA).
What do you dislike about the product?
I find the setup of Datadog to be inefficient and somewhat challenging, making the initial configuration process moderately hard. Additionally, the cost of using Datadog is quite high, and it would be beneficial if there were discounts available for first-time users to ease the financial burden.
What problems is the product solving and how is that benefiting you?
I use Datadog for centralized monitoring and observability, tracking system performance metrics, logs, and root cause analysis. It integrates with multi-cloud platforms, provides real-time metrics, and features customizable dashboards and alert options.
reviewer2774049
Has helped centralize activity monitoring and generate detailed reports for leadership
Reviewed on Oct 30, 2025
Review provided by PeerSpot
What is our primary use case?
My main use case for Datadog is logging security signals and monitoring account activity and suspicious behavior within our company.
For monitoring suspicious behavior, we look for alerts with things like unusual sign-in locations, unusual sign-in times, or registering new multi-factor devices in unusual circumstances or locations.
In addition to that, we also look for patterns and frequency of how often MFA is being prompted from individuals.
What is most valuable?
The best features Datadog offers include the ability to generate reports very quickly and put in extensive filtering to get very specific information.
The report generation and filtering help me in my day-to-day work by assisting in generating reports for higher-ups and turning data into actionable items.
Since using Datadog, it has positively impacted our organization by giving us a one-stop shop for multiple applications and services that we can analyze in one spot.
Having a one-stop shop has made things easier for my team, and we have seen specific outcomes such as saving a lot of time.
What needs improvement?
Datadog could be improved if the menu system was a little clearer and less cluttered, making it easier to navigate.
Additionally, more documentation is always beneficial to have.
For how long have I used the solution?
I have been using Datadog for about three years.
What do I think about the stability of the solution?
Datadog is very stable.
What do I think about the scalability of the solution?
Its scalability is good, and it has kept up as our organization has grown or changed.
How are customer service and support?
I have not had to reach out to customer support, so I cannot comment on that experience.
How would you rate customer service and support?
Negative
Which solution did I use previously and why did I switch?
I did not previously use a different solution before Datadog.
What was our ROI?
While I don't have any specifics on money saved, I can say that it has definitely improved our efficiency overall.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing for Datadog shows that the pricing is very fair and setup has been very simple and easy to do.
Which other solutions did I evaluate?
Before choosing Datadog, I did not evaluate other options.
What other advice do I have?
My advice to others looking into using Datadog is to read the documentation. I would rate this product a 9 out of 10.
Entertainment
Comprehensive Monitoring Tool with Powerful Insights but High Costs
Reviewed on Oct 26, 2025
Review provided by G2
What do you like best about the product?
What I like best about Datadog is how seamlessly it brings together metrics, logs, and traces in one place. The dashboard is very intuitive, and it’s easy to set up real-time monitoring for applications and infrastructure. I also like how flexible it is — you can create custom dashboards, set alerts, and get deep visibility into performance issues quickly. It really helps in identifying bottlenecks before they impact users.
What do you dislike about the product?
The main downside of Datadog is its pricing — it can get quite expensive as your infrastructure and data volume grow. Managing costs can be tricky, especially when you’re monitoring multiple environments. Also, the interface, while powerful, can feel a bit overwhelming at first due to the number of features and options available. It takes some time to get fully comfortable navigating everything.
What problems is the product solving and how is that benefiting you?
Datadog helps us monitor our entire system — from backend services and APIs to frontend performance — all in one place. It gives real-time visibility into logs, metrics, and traces, which makes it much easier to detect and troubleshoot issues quickly. Thanks to Datadog, we’ve reduced downtime, improved application performance, and gained better insights into how different parts of our system interact. It really helps our team stay proactive instead of reactive when it comes to performance and reliability.