Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.7 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
Virtana
Score 8.8 out of 10
N/A
Virtana delivers enterprise-grade deep hybrid infrastructure observability, enabling organizations to achieve visibility and control across their entire IT estate. The platform unifies monitoring of on-premises, cloud, and Kubernetes environments, to transform complex infrastructure management into a strategic advantage. Core Platform Capabilities Deep Infrastructure Observability: · Automated topology discovery and mapping · Real…
$0
Pricing
DatadogVirtana
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
Pro
$5
per month per device
Offerings
Pricing Offerings
DatadogVirtana
Free Trial
YesNo
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).Volume discounts are available (600+ devices / month) A device is any running AWS EC2 or Azure VM evaluated by Virtana Optimize in a given month
More Pricing Information
Community Pulse
DatadogVirtana
Considered Both Products
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, …
Virtana
Chose Virtana
We selected Zenoss because we had been using it for years before these other solutions were considered nearly robust enough to potentially be a viable alternative to Zenoss. Our familiarity with the interface and the tool set made it an easy choice for us to continue to …
Chose Virtana
Zenoss not just monitor the Hybrid Cloud, it also perform the Event Management and that gives edge on others
Chose Virtana
We don't have much to say bad about other services. We just found that Metricly was a good fit for us. And their customer support is really really good. So if we get stuck we simply reach out for help which hasn't been very often. We didn't get that kind of support from other …
Chose Virtana
We strongly prefer Metricly for AWS Cost Analysis -- whereas other tools are easier to use on a traditional monitoring basis. To be clear, Merticly's monitoring tools are GREAT, but they require tuning and manual setup that we didn't have the time for on a small Platform …
Best Alternatives
DatadogVirtana
Small Businesses
Amazon CloudWatch
Amazon CloudWatch
Score 7.7 out of 10
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Score 7.7 out of 10
Medium-sized Companies
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Score 10.0 out of 10
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Score 10.0 out of 10
Enterprises
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Score 10.0 out of 10
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User Ratings
DatadogVirtana
Likelihood to Recommend
8.9
(0 ratings)
8.8
(0 ratings)
Likelihood to Renew
1.0
(0 ratings)
-
(0 ratings)
Usability
8.7
(0 ratings)
-
(0 ratings)
Support Rating
5.0
(0 ratings)
10.0
(0 ratings)
Implementation Rating
1.0
(0 ratings)
-
(0 ratings)
User Testimonials
DatadogVirtana
Likelihood to Recommend
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.
Read full review
Zenoss is one of the most economical low cost monitoring/AIOPS tools available in the market. This goes excellent when complete infra is monitoring by itself however if its receiving the events from other monitoring tool then the Event management uses cases will be limited.
Read full review
Pros
  • 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
  • The flexibility to monitor almost anything.
  • The graphical interface available for servers and database planning helps to make it easier.
  • Easy to integrate other solutions under zenoss.
Read full review
Cons
  • 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
  • Support for streaming data is on the roadmap must currently be addressed via a third-party app.
  • For some customers, a hybrid on-prem/cloud model may be a better fit than a pure cloud model. The onsite collectors offer some, but not all, of this functionality.
  • Tighter integration with third-party (AppDynamics, etc) and/or built-in app performance tools.
Read full review
Likelihood to Renew
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
No answers on this topic
Usability
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.
Read full review
No answers on this topic
Support Rating
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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Anytime we've had issues they have been very responsive and professional.
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Implementation Rating
Documentation was difficult to work through, rollout was catastrophic (completely outage)
Read full review
No answers on this topic
Alternatives Considered
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
We selected Zenoss because we had been using it for years before these other solutions were considered nearly robust enough to potentially be a viable alternative to Zenoss. Our familiarity with the interface and the tool set made it an easy choice for us to continue to upgrade and use the product.
Read full review
Return on Investment
  • 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
  • We were able to save double-digit percentages on our monthly bill due to cutting back on hardware that was not needed.
  • We save time by not having to run across various dashboards and instead have a central place to monitor our infrastructure.
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.