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
PagerDuty
Score 8.6 out of 10
N/A
PagerDuty is an IT alert and incident management application from the company of the same name in San Francisco.
$25
per month per user
Pricing
Datadog
PagerDuty
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
Offerings
Pricing Offerings
Datadog
PagerDuty
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Discount available for annual pricing.
More Pricing Information
Community Pulse
Datadog
PagerDuty
Considered Both Products
Datadog
Verified User
Anonymous
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, …
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 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 …
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. …
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).
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 …
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 …
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 …
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.
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 …
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 …
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 …
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 …
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 …
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
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.
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 …
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 …
There were more features and more ways to contact the provider. Ring Central would send out a call. I don't remember sending an email or text when I was paged. It seemed it was only an app on my phone and not located on my computer, where I could access it when I was working on …
most of the team members were familiar with pagerduty and since its battletested and widely adopted and pricing was also competitive hence we have chosen pagerduty
PagerDuty provides better cost to value, and also includes AI based recommendations. Overall automatons possibilities are also great with this and since we have multiple integrations as well as we cannot easily to existing systems. For us the responsive and helpful sales team …
We have used Five9 for other features but haven't seriously considered using them for replacing PagerDuty. Our company already had PagerDuty when I joined and we haven't evaluated any other option.
PD is a set-it-and-forget-it solution. The application is reliable, has many features, and will drag a tech out of the deepest sleep so to put out a fire. Opsgenie is clunky at best. It can work, but the paging is unreliable, the schedule is a nightmare, and the integrations …
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 …
It is hard to compare these solutions. PagerDuty is currently being used in SaaS version, whereas Grafana & Loki are mainly implemented next to the packaged app. The second solution, although time consuming and requiring maintenance is still a viable option. However, PagerDuty …
I worked at one company that used VictorOps (now Splunk On-Call) and it was quite similar to PagerDuty. VictorOps had a smaller customer base and fewer integrations, so there was less information on the Internet about how to use it effectively, and I don't think its API was as …
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 …
Datadog and PagerDuty are two IT tools that complement each other to help DevOps teams identify and address IT incidents. Datadog is an IT infrastructure monitoring tool, while PagerDuty is an IT alert management tool that helps drive DevOps workflows and incident response processes. Both tools are most commonly used by midsize to large businesses and enterprises.
Datadog and PagerDuty do not compete with each other directly, but they instead complement each other’s capabilities. They both operate in the IT incident management space, but serve different purposes. Datadog handles the initial monitoring processes, while PagerDuty handles incident alerts, escalation, and response workflows. Together, they provide a more comprehensive environment for identifying and responding to a range of IT issues.
Features
Both Datadog and PagerDuty have distinct capabilities and advantages to using each product. They can also be integrated to automate monitoring and alerts across both systems. This allows information to sync across both tools to keep all teams up to date.
On an individual level, Datadog stands out as a one-stop monitoring shop across the business’s IT stack. Reviewers highlight its ability to effectively monitor application performance and server metrics. The tool is very customizable to serve a wide range of more niche monitoring cases.
In contrast, PagerDuty is a leader in alert management, particularly when organizations scale up their alerts and escalation rules. Reviewers praise PagerDuty’s support for configuring escalation rules to meet business needs. It also makes managing alert rules and policies easier as the number of necessary alerts grow with a business’s scale.
Limitations
Each product does have some limitations worth keeping in mind.
Datadog is known for coming with a heavy learning curve, which can make implementation and adoption a more difficult process. It also lacks sufficient documentation for training and learning the system.
PagerDuty’s mobile application is its most commonly criticized feature. The mobile app is much more limited than the desktop version. It does not have the capabilities to function as an administrative portal, which limits the flexibility and usability of the tool “in the field.”
Pricing
Datadog offers a wide range of pricing models based on specific capabilities. Each use case is priced separately, usually on a per-month basis and scaling by events, hosts, or other relevant volume measurements. Feature pricing can range from $5/volume/month to $30/volume/month.
PagerDuty offers 5 different plans, each tier adding functionalities on the lower-tier plan:
The Free plan provides on-call scheduling, unlimited API calls, and always-up service for up to 5 users.
The Starter plan, at $10/user/month for up to 6 users, ads unlimited domestic text notifications and escalation policies, as well as a historical year of data access and email/chat support.
The Team plan, at $29/user/month, adds unlimited global phone/text notifications, more integrates, response orchestration, and a status dashboard.
The Business plan, at $39/user/month, adds SSO and advanced permissions, advanced integrations, unlimited data access, and phone support.
The Digital Operations plan, priced by quote from the vendor, provides a suite of add-on products, more automation, event management, analytics, and a visibility console.
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.
I've used ICM in the past which has been a very Microsoft product with everything thrown into a blender. So, PD implementation is a breath of fresh air with focused pages to achieve the end goal. If the goal is to collaborate on issues across the organization, PD might not be the best solution but within specific teams, PD excels at it.
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
When getting a phone call, PagerDuty doesn't seem to allow acknowledgments of alerts through the phone, which it says it does. I constantly receive a message that it was updated by another person - when in reality, it wasn't.
Smarter notifications. If an alert was snoozed for a time, when it comes back, it sends out another alert. It should, I think, send a message asking if the alert is still an issue and give the option to close.
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.
As I've been using this app for the last 3 years, I would like to see a few additions, like exposing the "create slack channel" option from the mobile app, rather than just from the PD website from the specific incident
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.
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.
There were more features and more ways to contact the provider. Ring Central would send out a call. I don't remember sending an email or text when I was paged. It seemed it was only an app on my phone and not located on my computer, where I could access it when I was working on the computer.