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
TrustRadius Insights
Datadog
PagerDuty
Highlights
Research Team Insight
Published
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.