Vercel Analytics vs Datibase: A Practical Comparison
Both are cookie-free, both are easy to install. The difference is what happens after the trial period and what happens when you start charging customers.
If you deploy to Vercel, you have already seen the "Enable Analytics" toggle on the project dashboard. One click and you're tracking. It is the lowest-friction way to get a number on a graph, and for a side project that is exactly the right call.
For a SaaS that is starting to charge customers, the picture changes. This article walks through where Vercel Analytics is good enough, where it stops being good enough, and what to do when it does.
We make Datibase, so the comparison is biased toward the things we're better at. Vercel Analytics has real strengths we'll call out honestly first.
Where Vercel Analytics genuinely wins
Three things Vercel does that nobody else can match for Vercel-deployed apps.
- Zero setup: Toggle in the dashboard, ship, done. No script tag, no env var, no DNS. For a side project you check once a month, this is unbeatable.
- Web Vitals integration: Real-user Core Web Vitals (LCP, INP, CLS) tied to your deployments. Other tools either don't have this or charge extra for it. If you obsess over Vitals, this is the win.
- Tied to deployments: You can correlate a traffic dip with the deployment that caused it directly in the Vercel UI. No separate dashboard, no timeline alignment.
Where it stops being good enough
The same thing that makes Vercel Analytics frictionless makes it structurally limited. It is a built-in feature, not a dedicated analytics product, and it shows in five specific places.
- No revenue tracking: Vercel knows nothing about Stripe or Polar. You see traffic and Web Vitals, but not which referrer source produced paid customers. For a SaaS, this is the metric that matters most — see our guide on Stripe revenue alongside traffic for context.
- Tight custom-event cardinality: Custom events exist but the unique-combinations limit is low. Tagging events with plan tier and country is fine; tagging with user IDs or full paths burns through the cap fast.
- Pricing escalates with growth: The free tier is generous for side projects. Once you cross into paid pageview tiers, the cost per million events climbs faster than dedicated analytics tools — you pay platform pricing, not analytics pricing.
- Lock-in by design: Move off Vercel and the analytics goes with it. Every dedicated tool — Datibase, Plausible, Fathom, Umami — survives a hosting migration intact.
- Limited data export: Vercel Analytics is built for in-dashboard viewing. Pulling raw events into a BI tool or warehouse is restricted compared to dedicated analytics platforms.
Side-by-side
| Vercel Analytics | Datibase | |
|---|---|---|
| Cookie-free | Yes | Yes |
| Setup time | 1 click on Vercel | 1 script tag |
| Works off Vercel | No | Yes |
| Revenue tracking | No | Native (Stripe + Polar) |
| Web Vitals | Yes (best-in-class) | No |
| Custom events | Limited cardinality | Unlimited names |
| Funnel / referrer revenue | No | Yes |
| Data export | Restricted | Standard analytics export |
| GDPR-friendly default | Yes | Yes |
The honest case for using both
For most Vercel-hosted SaaS apps, the right answer isn't one or the other — it's both, briefly, until you know what you actually use.
Keep Vercel Analytics on for Web Vitals — the integration with your deployment timeline is genuinely useful and the free tier covers most needs. Add a dedicated analytics tool for everything else: traffic trends, referrer attribution, custom events, and (if you charge customers) revenue.
When to switch entirely
If you're only going to run one tool, the decision is about what you optimise for.
// stay on vercel
- Side projects with no paid plan
- Internal tools or dashboards
- Marketing pages where Web Vitals is the main concern
- Projects you check once a quarter
// switch to datibase
- SaaS with paying customers
- Sites where referrer attribution matters
- Projects that may move off Vercel later
- Custom events with realistic cardinality needs
- Anything where revenue per source is a question
How to migrate (or run both)
Both tools are passive — they observe page views without interfering with each other. Add the Datibase script alongside Vercel's and run both for a week to compare numbers, then decide whether to keep one, both, or swap. The full migration checklist is in our GA migration guide — the steps are the same when migrating from Vercel Analytics.
Expect the visitor numbers to be within 5–10%. The cookieless tools tend to filter bot traffic slightly more aggressively than Vercel does.
The bottom line
Vercel Analytics is the right tool for Vercel-hosted side projects and for Web Vitals on production apps. It is the wrong tool for SaaS founders who need to know which traffic source produced paying customers — that's a question Vercel structurally can't answer because it doesn't see your payment processor.
The cleanest setup for most Next.js indie SaaS apps is Vercel Analytics for Web Vitals plus a dedicated cookie-free analytics tool for everything else. If you want the second tool to natively show revenue by source, that's where Datibase fits.
Add revenue attribution alongside Vercel Analytics
Datibase runs alongside Vercel Analytics — keep Web Vitals where they are, add revenue and referrer attribution where they aren't.
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