Datadog vs. Kubernetes

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.4 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.
$0
Up to 5 hosts
Kubernetes
Score 8.9 out of 10
N/A
Kubernetes is an open-source container cluster manager.N/A
Pricing
DatadogKubernetes
Editions & Modules
Free
$0
Up to 5 hosts
Log Management
$1.27
Per Million Log Events
Standard
$15/host
Up to 500 hosts
Infrastructure
$15.00
Per Host Per Month
APM
$31.00
Per Host Per Month
Enterprise
Custom
500+ hosts
No answers on this topic
Offerings
Pricing Offerings
DatadogKubernetes
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Features
DatadogKubernetes
Container Management
Comparison of Container Management features of Product A and Product B
Datadog
-
Ratings
Kubernetes
7.8
1 Ratings
1% below category average
Security and Isolation00 Ratings10.01 Ratings
Container Orchestration00 Ratings7.01 Ratings
Cluster Management00 Ratings9.01 Ratings
Storage Management00 Ratings9.01 Ratings
Resource Allocation and Optimization00 Ratings8.01 Ratings
Discovery Tools00 Ratings5.01 Ratings
Update Rollouts and Rollbacks00 Ratings5.01 Ratings
Analytics, Monitoring, and Logging00 Ratings9.01 Ratings
Best Alternatives
DatadogKubernetes
Small Businesses
InfluxDB
InfluxDB
Score 8.5 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.4 out of 10
Medium-sized Companies
GitLab
GitLab
Score 8.8 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.4 out of 10
Enterprises
GitLab
GitLab
Score 8.8 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogKubernetes
Likelihood to Recommend
9.1
(22 ratings)
8.9
(16 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
8.9
(6 ratings)
-
(0 ratings)
User Testimonials
DatadogKubernetes
Likelihood to Recommend
Datadog
DataDog Is well suited to all of the Infrastructure Monitoring Solutions, DB monitoring, and other Network monitoring also. It's not well suited because it cannot give perfect Infrastructure recommendations for our use case but also For example: If we are using AWS DB to monitor performance insights then Datadog is less effective there because AWS gives very niche recommendations.
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Kubernetes
K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.
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Pros
Datadog
  • APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
  • Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
  • Lightweight agent on hosts
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Kubernetes
  • Complex cluster management can be done with simple commands with strong authentication and authorization schemes
  • Exhaustive documentation and open community smoothens the learning process
  • As a user a few concepts like pod, deployment and service are sufficient to go a long way
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Cons
Datadog
  • We had a couple "integrations" that had some issues during setup, but Support addressed them very quickly
  • Unnecessary alerts about DataDog components...by the time I see them, they're almost always also fixed
  • I wish there was a DataDog mobile app that would have dedicated alerts (configurable per alert to override Do Not Disturb setting) instead of relying on emails notifications that could be overlooked in the midst of many incoming emails around the same time.
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Kubernetes
  • Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
  • The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
  • Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.
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Usability
Datadog
The user interface is quite intuitive with the exception of the network map. As a deployer of software, it is trivial to setup.
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Kubernetes
No answers on this topic
Support Rating
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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Kubernetes
No answers on this topic
Alternatives Considered
Datadog
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
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Kubernetes
Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.
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Return on Investment
Datadog
  • Visibility into website issues and performance problems has improved our company communication.
  • Handling and detecting site issues faster has improved customer satisfaction and retention.
  • Configuration of the Datadog site can take a bit of time and we lost a bit of developer time during that process.
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Kubernetes
  • Because of microservices, Kubernetes makes it easy to find the cost of each application easily.
  • Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it.
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ScreenShots

Datadog Screenshots

Screenshot of Out-of-the-box and easily customizable monitoring dashboards.Screenshot of Datadog is built to give visibility across teams. You can discuss issues in-context with production data, annotate changes and notify your team, see who responded to that alert before, and remember what was done to fix it.Screenshot of Datadog seamlessly unifies traces, metrics, and logs—the three pillars of observability.Screenshot of Collect monitoring data from across your entire stack with Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map decomposes your application into all its component services and draws the observed dependencies between these services in real timeScreenshot of Centralize log data from any source.