Datadog vs. Virtana Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.4 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 Platform
Score 9.9 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 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
Free
$0
Pro
$5
per month per device
Offerings
Pricing Offerings
DatadogVirtana Platform
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 Platform
Considered Both Products
Datadog
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, …
Chose Datadog
Datadog is an all in one solution. It has everything in one place so you don't have to go from application to application and try to figure out what exactly happened. No more stitching database errors from one third party to backend errors in another to front end errors in …
Chose Datadog
the search query is very easy to search the logs
Chose Datadog
Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
Chose Datadog
We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. …
Chose Datadog
Dynatrace was cheaper but, in my opinion, its setup, features, and overall user experience do not come close to what Datadog can offer, making it more of a pain to use and not worth the cheaper cost over Datadog (especially if migrating away from Datadog to dynatrace).

Chose Datadog
Better performance and visibility than what I was able to obtain out of AppDynamics

Their OnCall offering is very fresh still, but is already almost at parity with Splunk On Call (VictorOps)
Chose Datadog
The first reason for selecting Datadog was of course it's pricing which is quite better in terms of competitor like Appdynamics and splunk. Second thing is versatile services which they are offering on one platform which means entire end to end services can be monitor at one …
Chose Datadog
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an …
Chose Datadog
One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging …
Chose Datadog
Kubernetes with Prometheus and other open-source options. It is prone to more toil to set up but the stack can be largely replicated in open source technologies.
Chose Datadog
OEM and Vertica Management console are limited to their own databases whereas Datadog has the ability to monitor multiple types of databases.
Chose Datadog
New Relic was a good tool but had really pushy salespeople. They also released a product called infrastructure recently, and it was worse than their previous product (servers). The previous product was also free! Needless to say, we will not be going back to New Relic any time …
Chose Datadog
Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false …
Chose Datadog
Ultimately, Datadog had the most already-built bridges into our existing infrastructure -- third parties that we're using for certain services are far more likely to work with Datadog than other systems. This means that, while expensive, Datadog has done a tremendous amount of …
Chose Datadog
Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and …
Chose Datadog
It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to …
Chose Datadog
I am listing how Datadog is better than below chosen
NotSensu - Datadog has more integrations and easy to use UI.
Prometheus - Datadog Integration are more in number than, simple installation process
Chose 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.
Chose Datadog
The pricing, the customer service and it most importantly it does the job we expect.
Chose Datadog
Geckoboard has nice dashboard options, however their third party system support isn't as strong as Datadog. Geckoboard did not support all the various server and development systems we use, whereas Datadog did. Also, Datadog has better alerting and monitoring options than …
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 …
Virtana Platform
Chose Virtana Platform
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 Platform
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 …
Chose Virtana Platform
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 Platform
Zenoss not just monitor the Hybrid Cloud, it also perform the Event Management and that gives edge on others
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User Ratings
DatadogVirtana Platform
Likelihood to Recommend
9.0
(0 ratings)
10.0
(0 ratings)
Usability
10.0
(0 ratings)
-
(0 ratings)
Support Rating
8.9
(0 ratings)
10.0
(0 ratings)
User Testimonials
DatadogVirtana Platform
Likelihood to Recommend
A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers.
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.
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  • 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.
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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
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  • 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.
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Usability
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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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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Alternatives Considered
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 analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way.
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.
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  • 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.