Amazon Elastic Kubernetes Service (EKS) vs. Datadog

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon EKS
Score 8.6 out of 10
N/A
Amazon Elastic Kubernetes Service (Amazon EKS) is a managed container service to run and scale Kubernetes applications in the cloud or on-premises, available on AWS or on-premise through Amazon EKS Anywhere.
$0.10
per month
Datadog
Score 8.8 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
Pricing
Amazon Elastic Kubernetes Service (EKS)Datadog
Editions & Modules
Amazon EKS Cluster
$.10
per hour of each cluster created
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Offerings
Pricing Offerings
Amazon EKSDatadog
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
Amazon Elastic Kubernetes Service (EKS)Datadog
Features
Amazon Elastic Kubernetes Service (EKS)Datadog
Container Management
Comparison of Container Management features of Product A and Product B
Amazon Elastic Kubernetes Service (EKS)
8.9
1 Ratings
11% above category average
Datadog
-
Ratings
Security and Isolation9.01 Ratings00 Ratings
Container Orchestration8.01 Ratings00 Ratings
Cluster Management8.01 Ratings00 Ratings
Storage Management9.01 Ratings00 Ratings
Resource Allocation and Optimization9.01 Ratings00 Ratings
Discovery Tools8.01 Ratings00 Ratings
Update Rollouts and Rollbacks9.01 Ratings00 Ratings
Self-Healing and Recovery10.01 Ratings00 Ratings
Analytics, Monitoring, and Logging10.01 Ratings00 Ratings
Best Alternatives
Amazon Elastic Kubernetes Service (EKS)Datadog
Small Businesses
Portainer
Portainer
Score 9.1 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Sumo Logic
Sumo Logic
Score 9.3 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Elastic Kubernetes Service (EKS)Datadog
Likelihood to Recommend
10.0
(2 ratings)
9.4
(55 ratings)
Usability
9.0
(1 ratings)
9.2
(34 ratings)
Support Rating
-
(0 ratings)
8.9
(6 ratings)
User Testimonials
Amazon Elastic Kubernetes Service (EKS)Datadog
Likelihood to Recommend
Amazon AWS
It is well suited when you want to have a Kubernetes cluster in AWS Cloud and want to avoid all the management overhead of maintaining your own cluster in terms of the control plane. EKS seems to be lacking in features when compared with AKS and GKE. Backups, service mesh, and monitoring have a lot of room for improvements.
Read full review
Datadog
Datadog can be pricey for larger scale businesses, so it really depends on your use case. For us, we have a small single deployment application and a small developer team, so our costs are mostly reasonable. There are more features than we can explore which can be somewhat overwhelming. It is mostly easy and intuitive to use but for larger scale you may consider rolling your own solutions.
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Pros
Amazon AWS
  • Upgrade the kubernetes clusters to the latest version with a single click
  • Auto scaling policies to automatically scale the nodes
  • Detailed logs and events on the cluster within the EKS clusters portal, cloudwatch logs and metrics
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Datadog
  • The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
  • Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
  • Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
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Cons
Amazon AWS
  • AWSIAM integration with Kubernetes RBAC could be better.
  • Enabling some add-ons like service mesh, and monitoring will be nice instead of having to install them yourself after the creation of the cluster.
  • EKS bootstrap time could be faster ...
Read full review
Datadog
  • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
  • I would appreciate more supportive examples for how to filter and view metrics in the explorer
  • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
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Usability
Amazon AWS
Cluster maintanence is reduced, easier to deploy resources, great observability insights
Read full review
Datadog
There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.
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Support Rating
Amazon AWS
No answers on this topic
Datadog
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
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Alternatives Considered
Amazon AWS
It feels like AWS is behind the EKS race, the only advantage I'm able to see right now is the support of IPv6, however, trying to promote AWS alternatives that are different from the market and more like a vendor locking solutions like ECS/Fargate have kept AWS behind and focusing on the wrong things. EKS needs to really improve its integration with the Kubernetes ecosystem and have an enterprise solution for monitoring, backups, and service mesh.
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Datadog
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an open source issue and many problems as we have to keep 2 to 3 people aligned to manage the stack.
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Return on Investment
Amazon AWS
  • Good performance of platform without hiccups
  • Less number of people required to manage cluster
  • Easier to deploy new microservices
Read full review
Datadog
  • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
  • Alerts allow us to remedy issues before our customers even know about them
  • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
Read full review
ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.