Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Arc
Score 8.5 out of 10
N/A
Azure Arc is a set of technologies that brings Azure security and cloud-native services to hybrid and multicloud environments. It enables the user to secure and govern infrastructure and apps anywhere, build cloud-native apps faster with familiar tools and services to run them on any Kubernetes platform, and modernize the data estate with Azure data and machine-learning services.N/A
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.
$1.27
per month (billed annually) per host
Pricing
Azure ArcDatadog
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
Azure ArcDatadog
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
Azure ArcDatadog
Considered Both Products
Azure Arc
Chose Azure Arc
Azure Arc uses the underlying power of Microsoft Azure, which allows assets across multicloud to be onboarded to Arc platform. It provides monitoring, security, updates in one click in one single platform. It also provides licensing benefits for Windows Server licenses, which …
Datadog
Chose Datadog
Its the Enterprise level decision, definitely usability and features perspective Datadog is much more advanced.
Chose Datadog
Datadog is significantly more user-friendly than CloudWatch.In terms of capabilities, they're similar.
I would not call either of the best-in-class for any single feature, but Datadog feels more polished and ready to use overall.Multi-cloud monitoring is a clear differentiator …
Chose Datadog
Datadog dashboard is very intuitive and offer seamless integration into multi-cloud platform compared to its competitor.
Chose Datadog
I use Datadog because it concentrates all these features into a single tool, facilitating the learning curve that my platform and development engineering team needs in order to be able to set up the monitors/alerts/SLIs/SLOs as well as to diagnose a production issue. Its easier …
Chose Datadog
Datadog seems to be the most feature-rich of all the alternatives we've considered, however due to problems outlined earlier, some of the others have benefits. OpenTel can give us a way to make our platforms compatible with a variety of vendors, and can be done without …
Chose Datadog
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered …
Chose Datadog
Kibana
Datadog
… because within our usecase we have all the events in kibana but sampled traces in Datadog … but if we had all the traces it would have been much more useful
Chose Datadog
I think Datadog and sentry serve different needs. I like sentry to keep track of errors on our systems. And then I'll jump into Datadog to investigate those issues.
Chose Datadog
We have utilized a SIEM in the past, but it was a very manual process to set it up. Content packs make it very easy to set up and get alerting instantly. Datadog takes out a lot of headaches for our security team, since they no longer have to create custom alerts for every …
Chose Datadog
First think first - it's easy to use, and very easy to implement in any infrastructure. It provides a custom dashboard and monitors. I’ve used or evaluated Grafana, Prometheus, Amazon CloudWatch, and Dynatrace, and each tool has strong capabilities. Prometheus + Grafana provide …
Chose Datadog
Wavefront seems to be better at observability and allows more custom query language.
Chose Datadog
All other tools dont have all the features which Datadog provides.
Easy to use from UI where other may have complicated UI or no UI at all to create monitors. Consider like AWS grafana, we have limitation to create monitors from UI. There is no recurring downtime for monitors. …
Chose Datadog
UI of the Datadog is easy to understand and integration steps are easy to understand. It also provides the troubleshooting steps which are easy to understand. Supports multi cloud integrations which is very important for all the customers to know about the cloud service's …
Chose Datadog
we primarily use Kubernetes, and Prometheus is great for collecting time series metrics, especially in Kubernetes. and Grafana is used for dashboards. As these are open source, we host them and manage them internally. We choose Datadog because of its logs, traces, and …
Chose Datadog
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause …
Chose Datadog
1. Grafana is good, but a lot of integration is required for it to work. .that not the case of Datadog
2. Faster to set up Datadog instead of Grafana
3. Alerting in Datadog feels much easier thanin Grafana.
Chose Datadog
Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights.
Chose Datadog
I have tried and used a number of other tools similar to Datadog such as New Relic, Splunk, Prometheus, AWS cloudwatch and Dynatrace. New Relic and Splunk provide excellent monitoring and analytics, but Datadog’s consolidated dashboards and ease of setup combined with a wealth …
Chose 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.
Chose Datadog
ease of use and implementation, other than new relic (which I think is terrible in every possible way), the other two support opentelemetry better, have more manageable costs and comparable basic services, but they do not have the breadt of services dd does.
Chose Datadog
We moved to Datadog from Microsoft's Application Insights. Application Insights did a fine job in allowing us to view our application data, but it lacked the holistic view of all our infrastructure and other platforms that could not use Application Insights. Being able to …
Chose Datadog
In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, …
Features
Azure ArcDatadog
Cloud Management
Comparison of Cloud Management features of Product A and Product B
Azure Arc
9.1
Ratings
4% above category average
Datadog
-
Ratings
Cloud Management Security9.00 Ratings00 Ratings
Automation and Orchestration9.00 Ratings00 Ratings
Cost Management9.00 Ratings00 Ratings
Cloud Management Performance Monitoring9.40 Ratings00 Ratings
Governance and Compliance9.00 Ratings00 Ratings
Resource Management9.40 Ratings00 Ratings
Systems Integration9.00 Ratings00 Ratings
Best Alternatives
Azure ArcDatadog
Small Businesses
VMware Cloud Director
VMware Cloud Director
Score 9.4 out of 10
Amazon CloudWatch
Amazon CloudWatch
Score 7.7 out of 10
Medium-sized Companies
IBM Turbonomic
IBM Turbonomic
Score 8.7 out of 10
ManageEngine Site24x7
ManageEngine Site24x7
Score 10.0 out of 10
Enterprises
VMware Cloud Director
VMware Cloud Director
Score 9.4 out of 10
ManageEngine Site24x7
ManageEngine Site24x7
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure ArcDatadog
Likelihood to Recommend
9.4
(0 ratings)
8.9
(0 ratings)
Likelihood to Renew
-
(0 ratings)
1.0
(0 ratings)
Usability
9.0
(0 ratings)
8.7
(0 ratings)
Support Rating
-
(0 ratings)
5.0
(0 ratings)
Implementation Rating
-
(0 ratings)
1.0
(0 ratings)
User Testimonials
Azure ArcDatadog
Likelihood to Recommend
I have been amazed by the extra options which Azure Arc offers for SQL server deployment in both Azure infrastructure and on-premise (hybrid) infrastructure. The deployment options range from Infrastructure as a service (IaaS) to Platform as a service (PaaS). Arc-enabled IaaS and PaaS services bring the integration of Azure monitoring and security tools into any customer's local infrastructure and this is amazing
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Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.
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Pros
  • Azure Monitor metrics
  • Event logs aggregation
  • Integration with Windows Admin Center
Read full review
  • 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
Cons
  • Licensing benefits could use some improvement
  • Update management pricing
  • Security optimization and pricing
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  • 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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Likelihood to Renew
No answers on this topic
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
Usability
Azure Arc monitoring is based on a unified procedure which includes the installation and configuration of the Arc agent on any computer/server which is to be onboaded to Arc. The solution is very usable especially when combined with the usage of Windows Admin Center, the HTML5-based unified management console for all our hybrid infrastructure. Many of the best of breed Azure tools and services are available via Azure Arc, when deployed to on-premise servers.
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There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.
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Support Rating
No answers on this topic
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.
Read full review
Implementation Rating
No answers on this topic
Documentation was difficult to work through, rollout was catastrophic (completely outage)
Read full review
Alternatives Considered
Azure Arc uses the underlying power of Microsoft Azure, which allows assets across multicloud to be onboarded to Arc platform. It provides monitoring, security, updates in one click in one single platform. It also provides licensing benefits for Windows Server licenses, which offers premium features like Windows server admin center to manage your windows servers more effectively.
Read full review
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog.
Read full review
Return on Investment
  • It reduces asset management processes
  • Provides centralized monitoring
  • Provides security posture across multi cloud environment
  • Multi Cloud Management
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  • 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.
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.