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, 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
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).
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 …
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 …
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 …
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 …
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
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.
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 …
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 …
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. …
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 …
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 …
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 …
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.
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.
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 …
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.
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.
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 …
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, …
We selected PagerDuty because it does provide monitoring of issues, incidents, outages and also it does have alert systems which is at higher standard. PagerDuty also provides calling facility for any outage scenario, the person in On-Call will get notified by a call which is …
Opsgenie was useful, mainly for teams already using Atlassian tools, and xMatters was good for handling team communication during incidents, but PagerDuty felt more complete for managing the full incident process in one place. We went with PagerDuty because it manages alerts, …
We earlier used Zabbix mainly for monitoring servers and getting alerts, and it worked well for that. But it was more focused on showing issues, not managing how teams respond to them. PagerDuty helped us handle incidents better by assigning alerts to the right person, managing …
We previously used to use Splunk On Call (our former tool) before we came across PagerDuty and after evaluating both of guess what we found was PagerDuty was meeting the needs we wanted to fullfill as from our collections process point of view such as automation and escalations …
Opsgenie is an amazing application and cheaper than PagerDuty. But PagerDuty is better with alerts and it has no downtime. PagerDuty autoamtes the work better than opsgenie.
Pager duty is better than opsgenie because it offers stronger automation, smarter incident workflows, deeper integrations and better reporting. Teams respond faster, follow consistent processes, and handle complex incidents more efficiently, making it more suitable for growing …
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.
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.
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.
To be sincere, PagerDuty is a powerful, intelligent, and dependable on-call and incident management tool that provides amazing solutions to our company. Therefore, if someone is looking for reliability and accuracy in incident management, I will not hesitate to recommend PagerDuty. It is easy to use, and it will give you value for money.
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 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.
Using Catalytic is dead simple, click and drag. Start simple and iterate. Once you start using the tool, you soon want to add more in and then the more you add in the higher the ROI. People will start to line up to want to use it, and realise the benefits
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.
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.
We selected PagerDuty because it does provide monitoring of issues, incidents, outages and also it does have alert systems which is at higher standard. PagerDuty also provides calling facility for any outage scenario, the person in On-Call will get notified by a call which is making it more useful in a production environment.
From my whole team's perspective, it allows all the agents to focus on resolving instead of continuously monitoring their systems and helps them not to chase invalid customer, which has impacted our overall floor productivity
A downside about PagerDuty, what I feel would be that there is very little investment in time to set up escalation rules, integration, especially for our priority accounts