TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Datadog

    Score8.8 out of 10
    N/ADatadog 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

    Mirantis Kubernetes Engine

    Score8 out of 10
    N/AThe Mirantis Kubernetes Engine (formerly Docker Enterprise, acquired by Mirantis in November 2019)aims to let users ship code faster. Mirantis Kubernetes Engine gives users one set of APIs and tools to deploy, manage, and observe secure-by-default, certified, batteries-included Kubernetes clusters on any infrastructure: public cloud, private cloud, or bare metal.

    $500

    per year per node

    Pricing
    DatadogMirantis Kubernetes Engine
    Editions & Modules
    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
    Free
    $0.00
    per year
    Basic
    $500.00
    per year
    Offerings
    Pricing Offerings
    DatadogMirantis Kubernetes Engine
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).These pricing options are compatible with Linux or Windows Server and are per year, per node. The basic version requires maximum online purchase not to exceed 50 nodes. Support/professional services are not included.
    More Pricing Information
    Community Pulse
    DatadogMirantis Kubernetes Engine
    Considered Both Products
    Datadog
    Chose Datadog
    The pricing, the customer service and it most importantly it does the job we expect.
    Incentivized
    Mirantis
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    50 Answers
    83%
    Would buy again
    5 Answers
    Delivers good value for the price
    93%
    Delivers good value for the price
    41 Answers
    80%
    Delivers good value for the price
    4 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    52 Answers
    100%
    Happy with the feature set
    6 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    32 Answers
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    36 Answers
    No answers on this topic
    Features
    DatadogMirantis Kubernetes Engine
    Monitoring Tasks
    Comparison of Monitoring Tasks features of Datadog and Mirantis Kubernetes Engine
    Feature
    Datadog
    7.9
    2 Ratings
    6% below category average
    Mirantis Kubernetes Engine
    -
    Ratings
    Remote monitoring8.22 Ratings00 Ratings
    Network device monitoring7.72 Ratings00 Ratings
    Multiple Server Monitoring7.72 Ratings00 Ratings
    Multi-device monitoring7.72 Ratings00 Ratings
    Automated alerts and notifications8.22 Ratings00 Ratings
    Management Tasks
    Comparison of Management Tasks features of Datadog and Mirantis Kubernetes Engine
    Feature
    Datadog
    6.1
    1 Ratings
    12% below category average
    Mirantis Kubernetes Engine
    -
    Ratings
    Patch Management7.31 Ratings00 Ratings
    Service configuration management6.41 Ratings00 Ratings
    Software and hardware inventory5.51 Ratings00 Ratings
    Policy-based automation5.51 Ratings00 Ratings
    Reporting
    Comparison of Reporting features of Datadog and Mirantis Kubernetes Engine
    Feature
    Datadog
    8.2
    2 Ratings
    3% above category average
    Mirantis Kubernetes Engine
    -
    Ratings
    Performance data reports8.22 Ratings00 Ratings
    Customizable reporting7.72 Ratings00 Ratings
    Data visualization8.62 Ratings00 Ratings
    Risk analysis8.22 Ratings00 Ratings
    Security
    Comparison of Security features of Datadog and Mirantis Kubernetes Engine
    Feature
    Datadog
    6.7
    1 Ratings
    9% below category average
    Mirantis Kubernetes Engine
    -
    Ratings
    Data backup and recovery6.41 Ratings00 Ratings
    Antivirus and malware management7.31 Ratings00 Ratings
    Administrator access control6.41 Ratings00 Ratings
    Best Alternatives
    DatadogMirantis Kubernetes Engine
    Small Businesses
    Amazon CloudWatch
    Score7.8 out of 10
    Google Cloud Run
    Score8.7 out of 10
    Medium-sized Companies
    LogicMonitor
    Score8.9 out of 10
    Amazon Elastic Container Service (Amazon ECS)
    Score8.6 out of 10
    Enterprises
    ManageEngine Site24x7
    Score10 out of 10
    SUSE Rancher
    Score9.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DatadogMirantis Kubernetes Engine
    Likelihood to Recommend
    8.9
    (65 ratings)
    8.3
    (37 ratings)
    Likelihood to Renew
    4.3
    (2 ratings)
    9.1
    (1 ratings)
    Usability
    8.7
    (44 ratings)
    8.0
    (2 ratings)
    Support Rating
    5.0
    (7 ratings)
    7.8
    (3 ratings)
    Implementation Rating
    1.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DatadogMirantis Kubernetes Engine
    Likelihood to Recommend
    Datadog
    Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
    Incentivized
    Read full review
    Mirantis
    [Mirantis Cloud Native Suite (Docker Enterprise)] is the most advanced tool till now, which works as a VMs
    and separates any single application from the dependencies. Also, this tool is
    helping me in the agile development of the processes. It is strongly recommended to
    almost all major organizations.
    Incentivized
    Read full review
    Pros
    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.
    Incentivized
    Read full review
    Mirantis
    • Containers - Docker is the go-to when using Containers, which are super useful if you need an environment that works both for Windows and Linux
    • Efficiency - Docker is very lightweight and doesn't demand too much from your CPU or server
    • CI/CD - Docker is excellent for plumbing into your build pipeline. It integrates nicely, is reliable, and has an easy set up.
    Incentivized
    Read full review
    Cons
    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
    Incentivized
    Read full review
    Mirantis
    • Containers are often opaque - if a container doesn't work out of the box, it's messy to fix.
    • Logging is complexified by the multiple containers and logs are often not piped to places you expect them to be.
    • Networking is complexified due to internal port mapping between containers, etc.
    Incentivized
    Read full review
    Likelihood to Renew
    Datadog
    Definitely will not revisit after our issues and, in my opinion, poor support.
    Incentivized
    Read full review
    Mirantis
    No answers on this topic
    Usability
    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.
    Incentivized
    Read full review
    Mirantis
    Docker's CLI has a lot of options, and they aren't all intuitive. And there are so many tools in the space (Docker Compose, Docker Swarm, etc) that have their own configuration as well. So while there is a lot to learn, most concepts transfer easily and can be learned once and applied across everything.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Mirantis
    The community support for Docker is fantastic. There is almost always an answer for any issue I might encounter day-to-day, either on Stack Overflow, a helpful blog post, or the community Slack workspace. I've never come across a problem that I was unable to solve via some searching around in the community.
    Incentivized
    Read full review
    Implementation Rating
    Datadog
    Documentation was difficult to work through, rollout was catastrophic (completely outage)
    Incentivized
    Read full review
    Mirantis
    No answers on this topic
    Alternatives Considered
    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.
    Incentivized
    Read full review
    Mirantis
    We've used XAMPP, PHPmyAdmin and similar local environments (our app is on PHP). Because of how easy you can change the configuration of libraries on PHP and versions (which is SO painful on XAMPP or other friendly LAMP local servers) we are using Docker right now. Also, being sure that the environment is exactly the same makes things easier for developing.
    Incentivized
    Read full review
    Return on Investment
    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.
    Incentivized
    Read full review
    Mirantis
    • Docker has made it possible for us to deploy code faster, increasing the productivity of our development teams.
    • Docker has made it possible for us to decentralize our build and release system. This means that teams can deploy on their own schedule and our dev ops team can concentrate on building better tools rather than deploying for the teams
    • Docker has allowed us to virtualize our entire development process and made it much simpler to build out new data centers. This, in turn, is significantly increasing our ROI by providing a path forward for internationalization.
    Incentivized
    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.