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
Microsoft Defender for Cloud
Score 8.6 out of 10
N/A
Microsoft Defender for Cloud is a Cloud Security Posture Management (CSPM) and Cloud Workload Protection Platform (CWPP) for Azure, on-premises, and multicloud (Amazon AWS and Google GCP) resources.
N/A
Pricing
Datadog
Microsoft Defender for Cloud
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
Offerings
Pricing Offerings
Datadog
Microsoft Defender for Cloud
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
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).
If I want to see what customers are doing wrong in their sessions, we can do that easily. On the other hand, if we want to know the payload in the API calls, that is the area where Datadog can improve.
I think it's good for cloud-native companies. A company that, from day zero, they're like, "We're going cloud, and this is how we're going to do it." They get it. It works well for them. Smaller organizations that are under X amount of resources- I don't know what that X might mean- but I feel like it plays well in smaller, more nimble organizations. If you're an older organization or if you're extremely large, it starts becoming a little difficult to manage at scale. And you have to sometimes throw bodies at the problem. Maybe not the most eloquent way of saying it, but that's what it feels like.
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.
It's really well laid out, with an easy-to-use, accessible UI.
With Microsoft Defender for Cloud, it has everything you need with the Safelink attachment, the Safelink emails for URL, the way it scans those URLs and attachments within the product, and you're seeing the results. And that adds an extra layer of security for the user, so you feel comfortable knowing the product monitors those. That's something I really like about that product.
Integrations with on-premise workloads can sometimes be challenging. Needs improvement and well standardised integration points
Vulnerability categories can be difficult to understand. It should allow teams to focus on critical findings and help them keep aside low-severity or suppressed vulnerabilities
Pricing can be improved as it can be over-priced for smaller businesses and would potentially affect their ROI due to the small scale
Its a one stop solution for most processes and does reduce cost overall. This does in turn help teams communicate in a much more efficient way, also RUM is a game changer for any quality product; we use RUM alot for debugging and reverse engineering issues. Reports and coverage has been a plus, it all has helped us a lot in our processes.
It is a great product that integrates nicely when running an Azure platform and even multi-cloud environment. Not looking for point-solutions but a suite that answers most requirements. It is very comfortable being able to use KQL, workbooks and automation that is native to the azure platform
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.
I would give a rating of nine for the following reasons: - easy to use dashboard with a clear view of our entire security posture -security, recommendations are easy and practical to follow -helps prioritise high risk issues instead of treating all alerts equally
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.
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, logs, tracing, alerting, and dashboards—all tightly integrated. In contrast, Elasticsearch often felt barebones and required considerable setup and additional tooling (like Kibana or Logstash) to reach the same level of functionality. While Elasticsearch is excellent for high-volume log ingestion and full-text search, it lacks the depth of features and real-time visualization capabilities that Datadog provides natively. The query language in Datadog is also quite usable and comparable for my needs—mainly filtering and aggregating logs and metrics—without needing to learn Elasticsearch's more complex DSL. Overall, Datadog saves our team time and effort, whereas Elasticsearch often felt like building a monitoring system from scratch. The all-in-one nature of Datadog, despite its complexity, is ultimately more efficient and scalable for our use case.
I believe Microsoft Defender for Cloud stacks up well against the other tools we looked at. It is native to the Azure platform and provides the same insights as the other tools. We selected Microsoft Defender for Cloud because it integrates well with the Azure resources and gives the needed insight, security alerts and recommendations.