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
GitGuardian
Score 9.0 out of 10
N/A
GitGuardian is an end-to-end NHI security platform designed to help organizations strengthen their Non-Human Identity (NHI) security posture and address compliance standards and regulations. As attackers increasingly target NHIs, such as service accounts, service principals, and applications, protecting and managing these critical assets has become paramount. NHIs rely on “secrets” like API keys and certificates for authentication, and their rapid proliferation has led to significant…
$0
(for individuals or up to 25 devs)
Microsoft Defender for Cloud
Score 8.5 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
GitGuardian
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
Small Teams - 1-25 developers
$0
per developer in the perimeter
Standard 26-100 developers
$18
per developer in the perimeter
Standard - 26 to 100 developers
$18
developer per month
Enterprise - above 100 developers
adhoc
developer
No answers on this topic
Offerings
Pricing Offerings
Datadog
GitGuardian
Microsoft Defender for Cloud
Free Trial
Yes
Yes
Yes
Free/Freemium Version
Yes
Yes
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).
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.
I do think it'll absolutely fit everyone who codes integrates with another platform or services. We all forget that one credentials one in a while, and especially those who managed public repository, it is important to keep an eye on accidentally committed credentials. While I think you don't really needs it for personal project, it's a nice to have, you don't want to waie up to 50k USD of sudden surcharge on resources you don't use.
Microsoft is well-suited with its definitive cloud, and I also like its Microsoft Intune ID. The conditional policies are great with that, and they're really good and well situated, so you can't beat them at that conditional policy level. Less appropriate, as I said, some of these low-hanging fruit features, like being good in phishing campaigns, and then I feel like maybe doing better at their seam products. So we'll see how that goes.
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.
GitGuardian monitors every public or private GitHub commit ( that have GitGuardian installed) and event in real-time for secrets and sensitive data. In a leak scenario it immediately notifies us.
It uses sophisticated pattern matching techniques to detect credentials that cannot be strictly defined with a distinctive pattern (like unprefixed credentials)
It covers several API providers, database connection strings, private keys, certificates, usernames and passwords etc
GitGuardian have high True Positive Rate of around 91% and reduces alert fatigue with smart occurrences regrouping
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
Improved user interface: It would be beneficial to have a more intuitive and user-friendly interface for Internal Monitoring on GitGuardian. This would make it easier for users to quickly access the data they need and understand the results of their scans.
Automated alerts: It would be helpful to have automated alerts when certain conditions are met, such as when a scan reveals sensitive data or when a new repository is created. This would help users stay informed and take action in a timely manner.
More detailed reports: Currently, Internal Monitoring reports are limited in terms of the depth of information they provide. It would be useful to have more detailed reports that include additional metrics, such as the number of repositories scanned and the types of sensitive data found.
Faster scan times: Scan times can be slow at times, making it difficult to stay on top of changes in repositories quickly. It would be beneficial to have faster scan times so that users can take action quickly when needed.
Granular permissions and role-based access management could improve security. This would enable organizations to control who has access to and can set specific features.
While it offers integration with various Microsoft services, expanding support for third-party cloud platforms and applications would enhance its versatility. Many organizations use multiple cloud providers, and broader compatibility would be advantageous.
The cost structure could be more transparent, especially for larger organizations with extensive cloud resources. Clearer cost breakdowns and predictions would help organizations budget more effectively.
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.
My visibility is limited because I'm only doing very small pieces of what the overall org does. And also, we have limitations on what we're allowed to use. It's not like we get a new product as users or leadership level users, and everything is on, and we can just do whatever we want. We're very restricted in what we can use any tooling within the org because of the different levels of regulatory constraints we have, because of just the nature of who we are inherently. So that's why. I don't think it's necessarily the product. I think it's more or less of what we're able to do with the product.
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.
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.
I've evaluated quite a few other tools, like git-secrets, Git-leaks, scan, and maybe a few more. They're all great but quite surprisingly none of them detected Github OAuth Secrets for us. A lot of the FOSS tools out there focus on much simpler, generic secrets, which is good in itself but with GitGuardian, it was dead simple from day one. I just connected our Github Account and set up the gg-shield cli and that was all.
Microsoft Defender for Cloud is definitely the choice with the latest market trend and attacks that are currently happening. Microsoft has been able to safe guard a lot after the recent serious attacks happening globally in the digital world. There is a trust in this software and with the latest updates and machine learning capabilities, Microsoft Defender for Cloud should be the choice.
GitGuardian Internal Monitoring has had a positive impact on our overall business objectives. By providing visibility into our code repositories and alerting us to potential security risks, we have been able to identify and mitigate security issues before they become a problem. This has allowed us to focus more on developing our product and less on responding to security incidents. We have also seen an increase in customer confidence in our product as a result of using GitGuardian Internal Monitoring, which has led to increased customer loyalty and retention. Overall, the ROI of using GitGuardian Internal Monitoring has been very positive for our business.
We have seen an increase in the security of our codebase, as well as an improvement in the speed and accuracy of our code reviews. This has enabled us to quickly identify and address any potential security issues before they become a problem. Additionally, we have seen an increase in our ROI as a result of using GitGuardian Internal Monitoring, as it has allowed us to save time and money by preventing costly security breaches.
It simplifies security management and saves time. I'm not sure, but I'm very confident it saved me a couple of paychecks by centralizing the data I need to secure the cloud environment.
I also utilize the inventory overview to monitor my team's activities and verify they are following internal regulations, as well as cost overruns.
The recommendations can be utilized as a valuable instructional tool. I have the team explain why they are receiving them, why they are not following them, and what they are doing differently.
