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
PagerDuty
Score 8.6 out of 10
N/A
PagerDuty, Inc. (NYSE:PD) provides digital operations management. Serving organizations of all sizes, PagerDuty aims to help them deliver a perfect digital experience to their customers, every time.
$25
per month per user
Virtana Platform
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…
$5
per month per device
Pricing
Datadog
PagerDuty
Virtana 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
Professional
$25
per month per user
Business
$49
per month per user
Enterprise
Contact Sales
Free
$0
Pro
$5
per month per device
Offerings
Pricing Offerings
Datadog
PagerDuty
Virtana Platform
Free Trial
Yes
Yes
No
Free/Freemium Version
Yes
Yes
Yes
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
Optional
No setup fee
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Discount available for annual pricing.
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
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 …
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 …
After evaluating these two products PagerDuty proved to be the best as PagerDuty met all of our organizations requirements when it came to pricing, functionality, and reliability. We liked that PagerDuty came prebuilt with numerous integrations as that helps us grow out our …
PagerDuty seemed to have a much more flexible setup that allowed the organization to build and manage how we respond to alerts and incidents. The ServiceNow product seemed to be a bit more rigid.
PagerDuty has matched our expectations so far in terms of the quality and quantity of functionalities offered to manage incidents effectively. Other tools being considered during the purchase phase were quite expensive and failed to offer the features we required. They had …
PagerDuty's focus on escalation policies and schedules shows that the responders are most important. Other tools focus more on the data and technical information and therewith do not match our needs as well as PagerDuty does. We still use Icinga and other tools to recognize …
I did an evaluation of OpsGenie and found PagerDuty to be more intuitive and at the time PagerDuty had more integrations. I also really believe in PagerDuty's ability to keep an extremely high uptime for their application. Over the last 5 years very few issues and 0 lengthy …
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 …
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 …
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.
PagerDuty is well-suited for teams or companies that need immediate response, such as production outages, server downtime, failed deployments, API failures, or critical infrastructure alerts. For example, if any company is doing work that requires immediate attention to any problem that arises due to a delay, it means the company loses money; PagerDuty would be the best fit for that company.
Overall I would say that we have been very happy with Zenoss. It has been a great server monitoring tool. There are certain aspects that we would like to expand into, such as Capacity Planning, Network Performance Monitoring, and log analysis. We have coupled Zenoss logs with Splunk for external log management, but would like to start using some of the built-in analysis tools.
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.
PagerDuty feels like something you can absolutely rely on... because in the rarest case where an alert is not acknowledged by the relevant agent, the alert automatically is escalated to our TL, which saves any possible errors or misses.
In terms of integration, I would rate it a 9.4 as it's absolutely seamless with Microsoft Teams or emails, ultimately resulting in a reduction of errors in work, which I greatly appreciate about PagerDuty.
In some cases, when an account requires input from multiple agents, PagerDuty makes sure to notify each of the relevant ones.
Other than this, sometimes when we have new joinings, it becomes easy for us to train them because every alert or response is recorded or logged. Because of this feature, we are able to check our past actions as well, so that a good feature about PagerDuty.
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
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.
The UI is more complex than I would like. Part of the challenge is that most users use PagerDuty infrequently; I don't remember how I changed a policy last time. Another part of the challenge is that some users expect alerting to be a trivial feature, and are reluctant to invest any time in reading the documentation.
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.
PagerDuty is reliable and easy to set up. It gives an effective way to notify the team about critical incidents which results in a faster turnaround time on issues. users can customize their alerts rules based on their preferences. Overall it's effective and easy to use which adds great business value.
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.
I have not use the 2 technologies for as long as I have used PagerDuty but in my opinion PagerDuty makes things a lot easier. The other tools got the job done and got alerts out but PagerDuty just seemed to make the setup for on-call alert schedules and integrations easier than the others. This isn't to say the others are difficult, just that PagerDuty was slightly better. I also have noticed that more tools have options to integrate to PagerDuty over the other tools.
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 Operations team. We have worked closely with Metricly to expand on their cost analysis capabilities, and plan to use them going forward.
We're a reseller/Integrator, so this question has a somewhat different meaning to our business. For us, Zenoss Cloud allows us to provide a single Cloud-based monitoring platform that can address virtually all our clients' use cases, dramatically simplifying our training and staffing requirements. Instead of training Engineers on several platforms, including the installation of physical hardware/software, we can focus on a single platform.
The faster time-to-deployment and always-on cloud platform is a great fit for DevOps environments and newer software-defined data center platforms. The ability of Zenoss to support these environments solves what has been a major blind spot, slowing adoption of platforms that have been difficult to effectively manage with legacy monitoring platforms.
For clients, the ability to consolidate from multiple prem-based tools to a single cloud-based platform is huge. Eliminating multiple licenses and ongoing hardware & administration costs can show a 1-2 year ROI.
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