Datadog vs. Platform9 Managed OpenStack

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Platform9 Managed OpenStack
Score 8.0 out of 10
N/A
Platform9's Managed OpenStack enables users to deploy and operate OpenStack Hybrid Cloud with a 100% SaaS based service. The SaaS platform lets users go live with an OpenStack private cloud with its deployment tools. The Platform9 dashboard is designed to offer visibility into infrastructure across compute, storage, network, and existing workloads.N/A
Pricing
DatadogPlatform9 Managed OpenStack
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
Enterprise
Contact company
per node
Offerings
Pricing Offerings
DatadogPlatform9 Managed OpenStack
Free Trial
YesYes
Free/Freemium Version
YesNo
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).
More Pricing Information
Community Pulse
DatadogPlatform9 Managed OpenStack
Best Alternatives
DatadogPlatform9 Managed OpenStack
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Score 10.0 out of 10

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Enterprises
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User Ratings
DatadogPlatform9 Managed OpenStack
Likelihood to Recommend
8.9
(64 ratings)
8.0
(1 ratings)
Likelihood to Renew
1.0
(1 ratings)
-
(0 ratings)
Usability
8.7
(43 ratings)
-
(0 ratings)
Support Rating
5.0
(7 ratings)
-
(0 ratings)
Implementation Rating
1.0
(1 ratings)
-
(0 ratings)
User Testimonials
DatadogPlatform9 Managed OpenStack
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.
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Platform9
If you're having OnPremise Infrastructure and you want to use OpenStack in that case Platform9 Managed OpenStack is recommended to use it will cut down all the complexities of setting up and managing OpenStack IaaS. Platform9 also offers setting up OpenStack on Cloud Such as AWS, GCP, and Azure but wouldn't recommend using this kind of offering as Openstack performs well when underneath virtualized infrastructure is backed directly hypervisors not cloud providers.
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.
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Platform9
  • It removes all the Openstack complexities and provides a simple UI to the end user.
  • Reduced the pain of System Administrator and Engineers.
  • Highly responsive support.
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
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Platform9
  • User interface and User experience are not upto the mark. UI needs lots of improvements.
  • We need to do entire setup from the scratch.
  • Nothing as such other than UI Improvements.
Read full review
Likelihood to Renew
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
Platform9
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.
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Platform9
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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Platform9
No answers on this topic
Implementation Rating
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
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Platform9
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.
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Platform9
No answers on this topic
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.
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Platform9
  • Platform9 simplified scaling in and out hypervisors now adding capacity takes very less time than other OpenStack environments.
  • Platfrom9 Managed Openstack gives us feeling of having our own private cloud!
  • It has increased the availability of our infrastructure which resulted lessen downtime on workloads deployed on top of it.
  • Overall it benefited us in all means.
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.