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
Prometheus
Score 7.9 out of 10
N/A
Prometheus is a service monitoring and time series database, which is open source.
N/A
SolarWinds Pingdom
Score 9.5 out of 10
N/A
SolarWinds Pingdom is a website uptime monitoring and alert tool, with additional reporting and Real User Monitoring capabilities. Pingdom is part of SolarWinds’s DevOps package, enabling full-stack monitoring as a service.
$14.95
per month
Pricing
Datadog
Prometheus
SolarWinds Pingdom
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
No answers on this topic
Synthetic Monitoring
$10
per month
Real User Monitoring
$10
per month
Enterprise
Custom Pricing
Offerings
Pricing Offerings
Datadog
Prometheus
SolarWinds Pingdom
Free Trial
Yes
No
Yes
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
No
No
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).
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).
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 …
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 …
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 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.
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. …
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 …
We evaluated Datadog and New Relic but cost-wise, these 2 are very expensive. Prometheus does require more leg work to match the feature sets but other than time, the cost is free. Pairing with Grafana, Prometheus can pretty much match features with the big players and still …
It is easier to setup, but learning curve is quite moderately steep. Prometheus is a best-in-class tool for engineers and SREs in cloud-native environments. When extended with tools like Thanos or Cortex, it can rival commercial platforms in scale and capability—but requires …
As I mentioned earlier, Prometheus had an added advantage that we were able to monitor CPU, RAM, Disk Space, process monitoring which other tools did not provide us Some tools were obsolete, and other were costly when we wanted this good feature , only Prometheus delivered on …
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with …
Since Prometheus is free to use and provides all the features we required we went with Prometheus if any feature is missing then we can consider other paid solutions like data dog.
Prometheus is cheaper, and you can quickly set it up compared to others. It is integrated with most of the open-source monitoring and alerting tools and can help small companies in having a cost-effective solution early in their stage.
Prometheus is similar to some of its competitors but delivers with regards to metrics; being used internally by Google and other cloud-native companies like ours gives us the confidence that the alerting industry stakeholders view it as a long-term solution that the community …
Newrelic has some simple uptime monitoring but it has very unclear pricing, which depends on how often you ping. And for our needs the next pricing bracket was way too much, maybe 10x. This could make sense if we were going to use the other monitoring capabilities of NewRelic …
I have used Datadog's testing, and it is far more in-depth but more expensive. Pingdom was simple and easy to set up and very reliable, but Datadog had more advanced features but also cost a lot more and wasn't as simple to set up.
At least during our investigation thus far, all of these companies have a more responsive support organization and are more actively maintaininbg and supporting their products. They are also all significantly more expensive.
Some of the products mentioned here are much more "holistic solutions" for monitoring, analyzing, logging, alerting, etc., but for the use case, we use SolarWinds Pingdom. I think that SolorWinds Pingdom is much simpler and friendlier for configuring and maintaining. We …
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.
This program works from the roots of the problem and creates a professional matrix for each of its users. This will give them more skills and resources to carry out tasks and reduce the difficulties of operating each of the processes of my work, as well as being An ally for the manipulation and operability of all your master data; Prometheus is very easy to recommend since it is a program that fulfills its mission.
I believe the scenarios we used it for were quite well covered, from the executive perspective. The downtime alarms worked very well and were easy to setup, uptime monitoring tools were clear and easy to use, even for non-technical people (C-level) and the SLA management tools allowed us to spend less time, and have less friction, with our clients
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.
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
Customer Service: since this is an open-source tool, customer service is not that great. Generally, you get all answers to your problems in online forums, but in case you got stuck, nobody will assist you in a channelised manner. You will have to find the way out on your own, and it may become frustrating at times.
More metrics for dashboards shall be added per the application being monitored. Standards metrics will work in most cases but may not in specific applications. Therefore, customised metrics shall be created for some of the industry-standard niche applications.
The PagerDuty integration could be a lot better. When you use the PagerDuty integration, it doesn't send any information about which check failed! It just sends a message like "Timeout (> 30s)" -- this isn't very helpful when we have hundreds of checks. We've worked around this by using both the PagerDuty and Slack integrations and having them both post to the same Slack channel. But this means that when an engineer is paged from PagerDuty, they have to go to Slack (or Pingdom) to find the details about the page; it's not available on the page itself.
Recently added features have made Pingdom less intuitive for our requirements. While Pingdom has a broad offering and remains a good value, it is becoming more than we need. Our customer base is becoming more and more global and Pingdom still lacks Asia-Pacific monitoring, which we will need within a year.
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.
It is usable and one can learn if few people in the team are already using it. It can be difficult to understand at the beginning because of non intuitive UI and syntax of the rules. So, I've gone for 7 points as there is some room for improvement in user interface and rules syntax.
Pingdom is easy to use, very intuitive and has a very short learning curve. From the onset, we've been able to jump in and leverage the tool to accomplish our goals for page speed performance and discover the insights we need to make improvements. Its a well-designed tool and makes for a good user experience.
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.
Support responded the same day to my query, as I was setting the product up but couldn't find the setting I needed. This was successfully resolved in a short time frame, so I was pleased with how quickly we were able to get this resolved. I haven't needed to contact support since.
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.
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with Grafana. It also has a sophisticated alert setting mechanism to ensure we don't miss anything critical.
PRTG Network Monitor was a far more complicated tool to use and set up albeit it does both Internal and External monitoring. The setup wasn't intuitive and there are too many configuration options to complete to form an alert
Amazon CloudWatch is specific to AWS resources and cannot be easily use outside of the AWS Ecosystem
The ROI mentioned during the purchase has not been achieved, however this could be due to lack of data from our side. 2 years of implementation is too early to calculate and confirm the ROI.
Honestly, we have 4 other products that overlap this functionality whose organizations provide far superior support. At this point it is an unnecessary expense.
In my opinion, their lack of support responsiveness and commitment has impacted our IT agility.
