
Zabbix
NewRelic
Dynatrace
Grafana
Microsoft System Center
Sumo Logic
UptimeRobot
See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Which is more popular?
Based on our record, Datadog seems to be more popular. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | datadoghq.com | stackscan.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States | Startup from Canada · 10 - 19 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+...
StackScan helps businesses find and analyze websites based on the technologies they use or the keywords they target. Instead of manually researching websites one by one, users can instantly search across 100M+ domains and identify sites using platforms like Shopify, WordPress, WooCommerce,...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Datadog Review & Walkthrough
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Datadog and StackScan.
StackScan's answer:
StackScan focuses on practical usability, broader stack coverage, advanced filtering, and scalable exports without unnecessary complexity. Users can quickly generate highly targeted datasets using filters like country, TLD, industry, and technology combinations, making research and lead generation faster and more precise.
StackScan's answer:
StackScan combines technology stack discovery and keyword-intent research in a single platform, allowing users to find websites not only by the tools they use but also by what they are targeting online. With coverage across 50,000+ technologies and 100M+ domains, it provides scalable, filterable, and export-ready web intelligence.
StackScan's answer:
StackScan is built for marketers, growth teams, agencies, sales teams, analysts, SaaS companies, and researchers who need structured web intelligence for prospecting, competitor analysis, market research, or technology adoption tracking.
StackScan's answer:
StackScan was created to simplify the process of finding reliable website and technology data at scale. Existing solutions often felt limited, expensive, or difficult to use for targeted workflows, so StackScan was built as a practical and scalable platform that combines technology detection, keyword discovery, and bulk data access into one system.
StackScan's answer:
StackScan is built using modern web technologies, large-scale crawling systems, distributed data processing, and technology fingerprinting engines designed to analyze and structure massive amounts of web data efficiently.
StackScan's answer:
StackScan is used by agencies, SaaS businesses, growth teams, researchers, and data-driven organizations for lead generation, market intelligence, and competitive analysis across multiple industries.
Share your experience with using Datadog and StackScan. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


If observability is covered by Datadog: Datadog answers *why* costs are high (e.g., a memory leak), but a FinOps tool answers *what* to do about it (e.g., resize the instance). If your primary need is correlating...
If observability is already covered by Datadog: Datadog’s Cloud Cost Management is powerful for correlating performance with cost. It’s enough if your primary need is deep analytical insight into why costs are what...
If observability is already covered by Datadog or another APM: Datadog excels at performance monitoring and can attribute application costs based on resource consumption metrics. However, it primarily focuses on...
While it’s still in early stage, its lifetime deal is really a great value. Must get if you’re into lead generation.
Recommendations tracked on public social media and blogs since March 2021.


Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case... - Source: dev.to / about 3 years ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: almost 4 years ago
Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed... - Source: dev.to / over 5 years ago
Tracking StackScan since May 2026.
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