Amazon Elastic Kubernetes Service (EKS) vs. Datadog

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon EKS
Score 8.7 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 8.6 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
9% 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 9.0 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 8.8 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
As per my experience, Datadog is best suited for complex, cloud-native environments where unified observability is critical, as it integrates seamlessly with AWS and Azure. Moreover, it provides deep visibility into latency and error rates. Datadog pricing is less appropriate for Startups with a tight budget and for organizations needing advanced incident management.
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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
  • In my experience, .NET Tracing Agent caused severe and untraceable performance issues
  • In my opinion, usage and billing structures were opaque and surprising
  • In my experience, documentation was incomplete, contradicting or sometimes completely wrong, even for common infrastructure (AWS Fargate)
  • I feel support was unhelpful at times, and bounced us back and forth to other teams
  • In my opinion, multiple methods of sample rate control were ineffective, adding to excessive usage and cost
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Likelihood to Renew
Amazon AWS
No answers on this topic
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
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Usability
Amazon AWS
Cluster maintanence is reduced, easier to deploy resources, great observability insights
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Datadog
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
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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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Implementation Rating
Amazon AWS
No answers on this topic
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
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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
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.
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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.