Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Ansible
Score 9.2 out of 10
N/A
The Red Hat Ansible Automation Platform (acquired by Red Hat in 2015) is a foundation for building and operating automation across an organization. The platform includes tools needed to implement enterprise-wide automation, and can automate resource provisioning, and IT environments and configuration of systems and devices. It can be used in a CI/CD process to provision the target environment and to then deploy the application on it.
$5,000
per year
Pricing
DatadogRed Hat Ansible Automation Platform
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
Basic Tower
5,000
per year
Enterprise Tower
10,000
per year
Premium Tower
14,000
per year
Offerings
Pricing Offerings
DatadogAnsible
Free Trial
YesNo
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
DatadogRed Hat Ansible Automation Platform
Considered Both Products
Datadog
Chose Datadog
Datadog empowers us to create dashboards and visualize the state of our infrastructure in real time. It gives us control over what we want to view and how. The graphs provide deep insight into trends and anamoly detectives. These features are lacking in some of the other …
Ansible

No answer on this topic

Features
DatadogRed Hat Ansible Automation Platform
Configuration Management
Comparison of Configuration Management features of Product A and Product B
Datadog
-
Ratings
Red Hat Ansible Automation Platform
8.5
139 Ratings
6% above category average
Infrastructure Automation00 Ratings9.0133 Ratings
Automated Provisioning00 Ratings8.7130 Ratings
Parallel Execution00 Ratings8.7123 Ratings
Node Management00 Ratings8.3115 Ratings
Reporting & Logging00 Ratings7.6129 Ratings
Version Control00 Ratings8.4114 Ratings
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DatadogRed Hat Ansible Automation Platform
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Score 8.9 out of 10
HashiCorp Terraform
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Score 8.6 out of 10
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Score 9.1 out of 10
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User Ratings
DatadogRed Hat Ansible Automation Platform
Likelihood to Recommend
9.4
(35 ratings)
9.4
(208 ratings)
Likelihood to Renew
-
(0 ratings)
9.4
(5 ratings)
Usability
7.6
(14 ratings)
8.4
(100 ratings)
Performance
-
(0 ratings)
8.7
(5 ratings)
Support Rating
8.9
(6 ratings)
8.0
(5 ratings)
Implementation Rating
-
(0 ratings)
8.0
(2 ratings)
Ease of integration
-
(0 ratings)
8.6
(5 ratings)
User Testimonials
DatadogRed Hat Ansible Automation Platform
Likelihood to Recommend
Datadog
Where Datadog is good: - Real-time Visibility During Incidents: During high-severity incidents, Datadog dashboards, coupled with real-time logging and APM traces, provide immediate insight into system health and enable fast triage. For example, we’ve used trace ID correlation between logs and APM to quickly identify downstream service failures due to network degradation during a major outage. - Service Ownership at Scale: With over 50 engineering teams, providing self-service monitoring is essential. We use Datadog monitors, SLO dashboards, and templates so teams can track their own service health without reinventing the wheel. Tagging and RBAC features help us scope data access appropriately. Where Datadog can improve: While Datadog’s logging capabilities are powerful, storing all application logs in Datadog can become cost-prohibitive at high volumes.
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Red Hat
I'm going to say it is best suited for configuration management. Like I said, patching even with security, things of that nature. Probably less suited is hardware management, but Red Hat IBM/IBM has Terraform for that. So it's a trade off.
Read full review
Pros
Datadog
  • Create Dashboards as per application, environments, and Custom metrics in one panel.
  • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
  • Playbooks, SLA definition, success and error quotas, request visualizations.
  • DB monitoring, Serverless stack monitoring.
  • Alerting of Production incidents so we can quickly resolve the issues on time.
Read full review
Red Hat
  • Debugging is easy, as it tells you exactly within your job where the job failed, even when jumping around several playbooks.
  • Ansible seems to integrate with everything, and the community is big enough that if you are unsure how to approach converting a process into a playbook, you can usually find something similar to what you are trying to do.
  • Security in AAP seems to be pretty straightforward. Easy to organize and identify who has what permissions or can only see the content based on the organization they belong to.
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
Read full review
Red Hat
  • Better documentation of how all the options/parameters are meant to be used (when creating things like jobs, templates, inventories, etc)
  • More recommendations of best practices as far as the best way to organize job templates, workflows, roles. Much can be found on how to organize pure Ansible, but not so much for AAP specifically.
  • I have found some things that seem like they should be easy but are not possible. Things like moving a host from one inventory to a different inventory. As far as I know this is not possible and requires deletion and recreation. Maybe I just don't know how this could be done or don't understand the design decisions behind this?
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Likelihood to Renew
Datadog
No answers on this topic
Red Hat
Even is if it's a great tool, we are looking to renew our licence for our production servers only. The product is very expensive to use, so we might look for a cheaper solution for our non-production servers. One of the solution we are looking, is AWX, free, and similar to AAP. This is be perfect for our non-production servers.
Read full review
Usability
Datadog
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
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Red Hat
It's overall pretty easy to use foe all the applications I've mentioned before: configuring hosts, installing packages through tools like apt, applying yaml, making changes across wide groups of hosts, etc. Its not a 10 because of the inconveinience of the yaml setup, and the time to write is not worth it for something applied one time to only a few hosts
Read full review
Performance
Datadog
No answers on this topic
Red Hat
Great in almost every way compared to any other configuration management software. The only thing I wish for is python3 support. Other than that, YAML is much improved compared to the Ruby of Chef. The agentless nature is incredibly convenient for managing systems quickly, and if a member of your term has no terminal experience whatsoever they can still use the UI.
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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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Red Hat
There is a lot of good documentation that Ansible and Red Hat provide which should help get someone started with making Ansible useful. But once you get to more complicated scenarios, you will benefit from learning from others. I have not used Red Hat support for work with Ansible, but many of the online resources are helpful.
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Implementation Rating
Datadog
No answers on this topic
Red Hat
I spoke on this topic today!
Read full review
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.
Read full review
Red Hat
I used puppet prior to moving to open source Ansible and eventually to Red Hat Ansible Automation Platform. I appreciate the agentless approach of Red Hat Ansible Automation Platform and feel that its deterministic approach to applying code is superior to puppet
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.
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Red Hat
  • POSITIVE: currently used by the IT department and some others, but we want others to use it.
  • NEGATIVE: We need less technical output for the non-technical. It should be controllable or a setting within playbooks. We also need more graphical responses (non-technical).
  • POSITIVE: Always being updated and expanded (CaC, EDA, Policy as Code, execution environments, AI, etc..)
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.