Sold by: Datadog
Deployed on AWS
Vendor Insights
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.
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
Features and programs
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Security credentials achieved
(2)
ISO27001
SOC2
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
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Legal
Vendor terms and conditions
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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
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.
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Customer reviews
Yegor L.
Datadog review
Reviewed on May 21, 2025
Review provided by G2
What do you like best about the product?
Datadog provides detailed monitoring, collecting data from different sources, such as servers, DBs and others. It's a complex tool with many different features, but UI helps users to navigate and find relevant information.
What do you dislike about the product?
It has quite a steep learning curve, and takes time to get experience.
What problems is the product solving and how is that benefiting you?
It provides detailed information about the infrastructure of the system, gives insights on the performance bottlenecks and many more.
Leave a comment0 comments
Aviv Y.
Datadog is useful for reading logs
Reviewed on May 15, 2025
Review provided by G2
What do you like best about the product?
what I like best about DataDog:
1. it provides a user-friendly interface to track down logs.
2. It allows to track and fetch logs according to specified time-frames.
3. Log appear live, so usage is useful to tracking down logs when on the spot.
4. Bug-tracking can be presented in a convenient way to help testers and developers during bug fixes.
1. it provides a user-friendly interface to track down logs.
2. It allows to track and fetch logs according to specified time-frames.
3. Log appear live, so usage is useful to tracking down logs when on the spot.
4. Bug-tracking can be presented in a convenient way to help testers and developers during bug fixes.
What do you dislike about the product?
What I dislike about DataDog:
1. User interface contains an overwhelming amount of features that make it difficult to navigate through.
2. Categorization is often innacurate and causes problems with finding specific logs.
3. Time-frame functionalities are often buggy and unreliable.
4. It's unclear how to integrates bugs from application in development to DataDog log system.
1. User interface contains an overwhelming amount of features that make it difficult to navigate through.
2. Categorization is often innacurate and causes problems with finding specific logs.
3. Time-frame functionalities are often buggy and unreliable.
4. It's unclear how to integrates bugs from application in development to DataDog log system.
What problems is the product solving and how is that benefiting you?
Problems that Datadog solved for me:
1. Is a solid platform to track down logs.
2. Helps tracking progress with bug discovery and bug fixes.
3. Helps with monitoring over database and server performances.
4. Allows to display live logs from current usage of application in development.
1. Is a solid platform to track down logs.
2. Helps tracking progress with bug discovery and bug fixes.
3. Helps with monitoring over database and server performances.
4. Allows to display live logs from current usage of application in development.
Yash M.
Ultimate tool for Log Management
Reviewed on Apr 18, 2025
Review provided by G2
What do you like best about the product?
Datadog does particularly well in Incident Detection. Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments.
At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. I use Datadog very frequently because it is easy to use and easy to integrate.
At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. I use Datadog very frequently because it is easy to use and easy to integrate.
What do you dislike about the product?
The Datadog UI is powerful but can be intimidating and cluttered especially when building complex queries or nested monitors. There is a learning curve for everyone.
What problems is the product solving and how is that benefiting you?
Datadog does particularly well in Incident Detection. Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments.
At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. Datadog addresses several business problems at Indeed company like, 1. Incident Detection and Response Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments. 2. End-to-End Observability With distributed tracing, log correlation, & metrics, we can pinpoint bottlenecks or failures across our micro services particularly valuable in our Envoy mesh based architecture and coroutine heavy services.
At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. Datadog addresses several business problems at Indeed company like, 1. Incident Detection and Response Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments. 2. End-to-End Observability With distributed tracing, log correlation, & metrics, we can pinpoint bottlenecks or failures across our micro services particularly valuable in our Envoy mesh based architecture and coroutine heavy services.
Ivan M.
A product for everything
Reviewed on Apr 17, 2025
Review provided by G2
What do you like best about the product?
Datadog has a product to solve almost any observability problem you may have. It's simple to implement into your workflow, and data will start enriching the rest of the products immediately.
What do you dislike about the product?
The pricing struture is confusing, and the support agents are very hit or miss in understanding your problem.
What problems is the product solving and how is that benefiting you?
We use Datadog for performance and error monitoring, application Performance Management, and security protection with the application security module.
Siebert T.
Datadog ASM has really helped protect our application in real time with the WAF
Reviewed on Mar 28, 2025
Review provided by G2
What do you like best about the product?
Protection of our apps with easy setup and hands-off prevention of attacks and scanning
What do you dislike about the product?
Pricing is quite steep - there are probably specialised tools that are cheaper
What problems is the product solving and how is that benefiting you?
Datadog is fully protecting our applications from malicious requests. It uses intelligent detection to allow regular traffic and block suspicious activity.
This stops security scans and other attacks right in their tracks.
This stops security scans and other attacks right in their tracks.