Sold by: Datadog
Deployed on AWS
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.
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
Sold by
Categories
Delivery method
Supported services
Delivery option
Latest version
Operating system
Linux
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Trust Center
Access real-time vendor security and compliance information through their Trust Center powered by Drata. Review certifications and security standards before purchase.
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
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.
Pricing
This product is available free of charge. Free 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.
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) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Deploy Operator v1.24.0
Supported services: Learn more
- Amazon EKS
EKS add-on
An add-on is software that provides supporting operational capabilities to Kubernetes applications but isn't specific to the application. This includes software like observability agents or Kubernetes drivers that allow the cluster to interact with underlying AWS resources for networking, compute, and storage. Add-on software is typically built and maintained by the Kubernetes community, cloud providers like AWS, or third-party vendors. Amazon EKS add-ons provide installation and management of a curated set of add-ons for Amazon EKS clusters. All Amazon EKS add-ons include the latest security patches and bug fixes, and are validated by AWS to work with Amazon EKS. Amazon EKS add-ons allow you to consistently ensure that your Amazon EKS clusters are secure and stable and reduce the amount of work that you need to do to install, configure, and update add-ons.
Version release notes
- Install Operator v1.24.0 without DatadogAgent manifest
Additional details
Usage instructions
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.
Similar products
Datadog Agent provides full stack monitoring on your EC2 instances.
Datadog Agent for Windows provides full stack monitoring on your Windows EC2 instances.
NoBS.tech specializes in helping Datadog customers extract maximum value out of the platform, vastly improving ROI and achieving desired business outcomes through Observability.
Calyptia Core Agent is from the maintainers and creators of Fluent Bit.
What is Fluent Bit?
Fluent Bit is an open source project that deploys as a lightweight process on your Linux, Windows, MacOS servers as well as your container environments that lets you collect, process, and route logs / metrics / trace data at high speeds.
What is Calyptia Core Agent?
All the features of Fluent Bit with the following:
Enterprise Stability
1 year maintenance, security, and bug fix cycles
Support for extended life operating systems
Premium Features
Advanced control for enterprise environments, including network and throughput controls
Fleet Management and Monitoring capabilities to deploy and manage at scale
Integrations with Splunk, Datadog, New Relic, Elasticsearch, OpenSearch, AWS S3, AWS Kinesis, and more
Extended Support
Service Desk and SLA available
Calyptia Core Agent is a product of Chronosphere (https://chronosphere.io)
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.