What users are saying about
116 Ratings
122 Ratings
116 Ratings
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Score 8.2 out of 100
122 Ratings
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Score 8.9 out of 100

Likelihood to Recommend

Datadog

Datadog is a no-brainer for any environment that relies on multiple servers. Even for one server, it's so much better to use for monitoring and alert capability than anything else I remember looking at before we started using Datadog. Teams can even use it to track their progress of investigating an alert so multiple people aren't unknowingly looking into the same exact issue unnecessarily.
Anonymous | TrustRadius Reviewer

Kubernetes

  1. Kubernetes is very easy to get started and to set up
  2. It has various deployment options, file systems and service types making it suitable for several use cases besides Machine Learning
  3. Extends the functionality of Docker's rich functionality making it a deadly combination
  4. The rough edges in file system, utilization and resource management should be fixed to be adopted as a standard in a company
  5. Its extremely vast Python library makes it easy to build services on top of kubernetes. However the API is quite complex and documentation is quite poor
Nitin Pasumarthy | TrustRadius Reviewer

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
Anthony Zappala | TrustRadius Reviewer

Kubernetes

  • Cost-effectiveness, Kubernetes is free and open source.
  • Scalability, Kubernetes works regardless of how many pods it's managing; be it ten or a thousand.
  • Low overhead, Kubernetes adds very little performance cost per developer per machine. The benefits of having a managed system vastly outweigh the minor performance cost.
  • Large market share, Kubernetes is one of the top container orchestration tools used by developers today. This has been immensely helpful when finding new talent who are familiar with Kubernetes.
Anonymous | TrustRadius Reviewer

Cons

Datadog

  • User interface could be improved in some areas, looking for host information and the agent install link takes a bit of time.
  • Configuration of the agent is generally done via a config file which is a pro and a con. It would be nice to have some UI to configure various agent options.
  • Billing isn't entirely straightforward, they could use more reports to figure out the source of your monthly costs.
Kevin Van Heusen | TrustRadius Reviewer

Kubernetes

  • Speed of error detection - many times, in attempting to fix a problem, I found that kubernetes just had a delay in handling an automated fix. By changing the system, I was playing a cat and mouse game with kubernetes' attempts to auto-fix the error.
  • Sensible logging - many of the logs are difficult to decipher and too verbose to be useful.
  • The learning curve is high - it took many months of working with Google, in which both I and Google Support Engineers learned a lot about how Kubernetes works. The learning curve is not for people looking for quick and easy out of the box.
Adam Eivy | TrustRadius Reviewer

Usability

Datadog

Datadog 10.0
Based on 1 answer
The user interface is quite intuitive with the exception of the network map. As a deployer of software, it is trivial to setup.
Anonymous | TrustRadius Reviewer

Kubernetes

No score
No answers yet
No answers on this topic

Support Rating

Datadog

Datadog 8.7
Based on 12 answers
Our experience working with their support found them to be helpful and quick to respond. Also, as many of their integrations are open source, improvements we desired could be tracked and even driven by us. Their documentation is excellent and makes integrating their tooling simple and makes standing up monitoring for new application a quick and painless process.
Anonymous | TrustRadius Reviewer

Kubernetes

Kubernetes 8.0
Based on 2 answers
Documentation for Kubernetes is better than usual, and there are a variety of paid support offerings available from a variety of consultant shops. Explicit examples for specific features are sometimes hard to come by due to the wide array of features available, and the documentation can be overwhelming. Further, without any first-party paid offering, it's sometimes hard to know who to reach out to for support.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Datadog

New Relic APM is a great application performance monitoring tool, but the agent was producing an increased load on our system compared to Datadog. Datadog also gives the flexibility of going outside of the boundaries of the application and looking at system performance as well, which can have a large impact on application performance.
Stephen Groat | TrustRadius Reviewer

Kubernetes

Docker Swarm is not as advanced as Kubernetes and there are no out of the box solutions for auto scaling and deployment strategies. Docker swarm doesnot have much experience with production deployments at scale. Swarm has a smaller community, and less frequent releases as compared to the very big Kubernetes Community and its rapid releases.
Anonymous | TrustRadius Reviewer

Return on Investment

Datadog

  • One of our critical production databases went down a couple of weeks back. Just because we had the Datadog monitoring enabled for that database, Datadog sent the alerts to PagerDuty and we were instantly notified via pager and email alert. We could act right away and bring up the database within a few mins.
  • Ability to create custom screenboards have allowed us to track the critical and warning alerts in front of our eyes all the time
Rajeshh Raghavan | TrustRadius Reviewer

Kubernetes

  • We switched from Chef, so we got a HUGE amount of ROI by switching our microservices over to Kubernetes 8. A lot less code, a lot easier to test, and immutable images means we have just one build and that artifact goes through all the environments.
  • Automated deploys are SUPER easy with Kubernetes 8. We just have simple scripts listening on a GitHub repo for changes that applies/creates all the Kubernetes 8 pieces we need. Everyone has the power to deploy to any of the clusters through code and code reviews.
  • Shrunk our devops need dramatically, everything just works.
Jake Luby | TrustRadius Reviewer

Screenshots

Pricing Details

Datadog

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
Optional

Datadog Editions & Modules

On-premise Edition
Infrastructure$15.001
Log Management$1.272
APM$31.003
  1. Per Host Per Month
  2. Per Million Log Events
  3. Per Host Per Month
SaaS Edition
Free$01
Standard$15/host2
EnterpriseCustom3
  1. Up to 5 hosts
  2. Up to 500 hosts
  3. 500+ hosts
Additional Pricing Details

Kubernetes

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Kubernetes Editions & Modules

Additional Pricing Details

Add comparison