Darktrace AI interrupts in-progress cyber-attacks, including ransomware, email phishing, and threats to cloud environments. It's able to detect and establish baselines for your organization so it can make the distinction between what is and what isn't normal network activity for your organization. This allows it to tackle complex cyber-attacks as they happen and prevent future cyber-attacks from happening.
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Datadog
Score 8.7 out of 10
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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
Pricing
Darktrace
Datadog
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
Darktrace
Datadog
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Darktrace is a product well suited for the vast majority of infrastructures and helps monitoring and responding to threats based on the network in a very elastic way. This is a product based on on-premise infrastructures that hosts its machines locally, of course it can be technically difficult to monitor an entire On-Cloud infrastructure but even there there's room for sensors and monitoring, not to mention the SaaS and mail integration that completes the product.
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.
Uses it Al model UEBA to detect anomalies in the behaviour of not only the users in a corporate network but also the routers, servers, and endpoints in that network.
Provides a visualisation of both egress and outbound network traffics flowing in and out of the organisation.
Darktrace comes with it autonomous AI model detection and responses capabilities.
Darktrace as an AI next generation NDR solution, prevents ,contains and quarantines malicious traffics from and into the corporate network.
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.
There are few areas that I would say need to be improved; their customer support portal allows you to log tickets with any suggestions or things you feel the product is missing, and they will generally show you how to achieve what you want, or in some cases, introduce it as a feature in a later update.
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
The Darktrace toolset is very expansive, allowing it to handle many different tasks, but this leads to a user interface that is sometimes not at all intuitive. Icons don't always make sense visually, and the associated tool tips do not always provide enough detail on what action the button performs
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.
Darktrace support is excellent in my experience. They send a competent engineer on-site to provide on-boarding training. They were also very responsive in responding to questions and concerns. Having an individual point of contact who is a competent network and security engineer is not a common experience, at least for me.
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.
We did NOT select Darktrace. OSSIM/AlienVault is a more mature product and it provided better intelligence and reporting. The end user interface is much easier to use - and you can tell built form engineers who have had to do the work. My suggestion for anyone considering Darktrace, is to get the price upfront; do a 30/60 onsite trail; and do the same thing, at the same time, with AlienVault. AlientVault will win every time. I say that because that's exactly what I did.
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.
One big positive is how it helps us with the security assessments that clients have done on us. They are looking to see if we know how we might have unusual/malicious traffic running on the network.
If you have a small network and only need 1 appliance, it can be a good ROI and peace of mind.
You could go down a hole in trying to spend time looking at all of your traffic with this software. You need to focus only on what it is showing as potential bad traffic.
