
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.

Helicone AI
Langfuse
MarginDash
LangSmith
LLMCap
OpenAI
Corrath
Know your AI costs per customer, per feature, per tier. PerUnit attributes every dollar of AI provider spend to the customers and features driving it.

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 | perunit.ai |
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| Company | Startup from the United States | — |
| 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+...
Your AI bill is growing — but which customers, features, and pricing tiers are driving it? OpenAI, Anthropic, and Google dashboards show totals. Totals don't help you decide who to charge more, what to gate, or where to cut. PerUnit breaks down AI spend by customer, feature, and pricing tier so...
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
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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 PerUnit.
PerUnit's answer:
PerUnit is built for AI unit economics, not just cost tracking. We break down AI spend by:
Customer — see which accounts drive costs Feature — see which AI features burn through tokens Pricing tier — free vs paid user breakdown We connect AI costs to revenue via Stripe. Provider dashboards show totals; observability tools show tokens. PerUnit shows who's driving costs and whether they're profitable. No data warehouse or pipelines — direct API sync to OpenAI, Anthropic, and Google.
PerUnit's answer:
PerUnit is built for product and pricing decisions, not observability. Competitors focus on tokens, latency, and traces. We focus on:
Cost per customer Cost per feature Cost per tier — connected to revenue If you need to know who to charge more, what to gate, or where to cut, PerUnit gives you that. No pipelines, no data engineering, no data warehouse.
PerUnit's answer:
Founders, product managers, and CFOs at companies building AI-powered products. Anyone who needs to answer:
Which customers cost the most? Are free users profitable? Should we gate AI behind paid plans? Teams that care about unit economics and margins, not just total spend.
PerUnit's answer:
We've shipped products with AI and watched margins disappear without knowing why. The AI bill was one number — we couldn't see which customers or features were driving it. Every product and pricing decision was a guess.
We built PerUnit so product teams can have the same clarity on AI costs that they have on revenue and headcount.
PerUnit's answer:
Frontend: Next.js, React, TypeScript, Tailwind CSS Integrations: OpenAI, Anthropic, Google APIs, Stripe Deployment: Vercel
PerUnit's answer:
PerUnit is in early access. We're onboarding a small group of teams who need clarity on their AI unit economics. Our early users are founders and PMs at companies building AI features — from early-stage to growth — who want cost attribution before scaling further.
Share your experience with using Datadog and PerUnit. 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...
We have no reviews of PerUnit yet. Be the first one to post
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 PerUnit since Mar 2026.
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