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
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.
Yash Dhawan
Log monitoring has reduced costs and enables faster troubleshooting for cloud applications
Reviewed on Mar 18, 2026
Review from a verified AWS customer
What is our primary use case?
The main use case for Datadog is to troubleshoot using application logs, and that is a great use case. Whenever we have integrated Datadog with all the application logs, we receive all the application logs there. Because CloudWatch logs are so expensive to use, we have integrated with Datadog, and it is very cost-friendly. The best use case is whenever we receive an error or suppose we have an issue going on, we can check it using Datadog logs and we can resolve it based on the logs.
What is most valuable?
The integration part is very smooth in terms of Datadog. The best features Datadog offers are first integration, second it is reliable, we can rely on it twenty-four seven, and third it is cost-effective.
Datadog integrates with any of the tools, and for now, we are working on the AWS cloud, so it is very easy to integrate with any of AWS services. We can push any of the logs for any of the applications. Datadog seems to be very reliable and stable, so we can check the logs and check anything there.
In terms of positivity, Datadog is cost-effective. We have used CloudWatch as well sometimes, but CloudWatch is expensive to use. If we want to search for any of the log streams, it is quite expensive. The cost is so much higher for that particular tool. But in terms of Datadog, it is very much cheaper than CloudWatch logs. It is similar to CloudWatch, but it is more cost-effective.
Datadog has helped our team save money, time, and resources, and I am certain that it has saved our time and our money.
What needs improvement?
Datadog can be improved if there is an AI functionality enabled. Let's suppose we are receiving a number of errors; an AI-integrated feature can happen there and it just gives us a root cause analysis based on the report, based on the error logs, and which service and what error codes we have received. That is how we can improve it.
I believe that is something which every organization wants, and I guess that is something really important because everyone wants the root cause after an incident has occurred.
For how long have I used the solution?
I have been using Datadog for the last five years.
What do I think about the stability of the solution?
I have never seen downtime with Datadog. It is pretty reliable.
What do I think about the scalability of the solution?
We can scale N number of things in Datadog. It is pretty scalable with no issues in the scaling part.
How are customer service and support?
I never reached out to customer support because I did not have to. Because we had no downtime for Datadog, we are good.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I have used Kibana before Datadog, but the problem with Kibana was there was so much downtime in Kibana. We used to have so many issues in Kibana and the troubleshooting was impacted due to that. So we switched to Datadog.
How was the initial setup?
I purchased Datadog through the AWS Marketplace .
What about the implementation team?
The implementation was amazing. The pricing is amazing and everything was so smooth with Datadog, so no issues at all.
What was our ROI?
I would say 100% return on investment. Let's suppose if I have to give an example of CloudWatch, it costs so much. If I have to search for two days of logs, it would cost me around three times more than what I search for from Datadog. Datadog is something which I can 100% rely on, and it is very cost-effective and totally worth it.
Which other solutions did I evaluate?
I have evaluated CloudWatch and Kibana, and hence I chose Datadog.
What other advice do I have?
I would recommend creating a data dashboard instead of searching for the logs. That feature is quite useful, so you can use the dashboards and you can monitor it from one place and also you can troubleshoot it from there as well using the logs. That is a very useful thing in Datadog. I give this review an overall rating of nine out of ten.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
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.