If your product or marketing data has increased from a few thousand events a day to billions per month, first of all, congrats. That kind of scale usually means your product is working, your customers are active, and your marketing team is doing something right.
But let’s be real: once you hit that level, analytics stops being fun.
Dashboards start to lag, queries time out, and worst of all, your analytics bill quietly turns into one of your biggest line items.
It’s a classic growth problem. The same stack that worked perfectly for your early-stage team suddenly can’t keep up with your data footprint. And as your volume grows, most analytics tools make you pay for it, literally.
So, how do you keep visibility into your product and user journey when your event count is in the billions, without watching your costs explode? Let’s talk about it.
The Hidden Cost of Growth
Most traditional analytics tools were built around an event-based pricing model. Every click, scroll, or user action gets logged, and billed. At a small scale, that’s fine. But at enterprise scale, it becomes unsustainable.
We’ve seen companies start at $2k/month for analytics and end up paying ten times that within a year, just because their users became more active.
And then comes the technical pain: slow dashboards, sampled data, and delayed reporting. Suddenly your product managers are waiting minutes (or hours) to see a funnel load. That kills curiosity and slows down decision-making.
When you’re moving fast, waiting on data is the last thing you can afford.
Why “Warehouse-Native” Tools Are Game-Changers
This is where a warehouse-native approach, like what we’ve built at Mitzu completely changes the economics of analytics.
Instead of copying your data into another black-box platform, a warehouse-native tool connects directly to your existing data warehouse (like Snowflake, BigQuery, or Redshift). Your data stays where it already lives, and your analytics layer simply queries it.
That means:
- No double-paying for storage or compute
- No data duplication or sync delays
- No event-based pricing, track as much as you want
You’re already paying for your warehouse compute. Why not use that same infrastructure for analytics instead of paying again for every event?
Freedom to Track Everything (and Everyone)
When pricing stops being tied to event volume, something magical happens: your team stops worrying about what they can track and starts focusing on what they should learn.
You can log every touchpoint in the customer journey: product events, marketing campaigns, support interactions, without worrying about the bill. And because you’re querying directly from your warehouse, you’re always working with the freshest data possible.
That means faster answers, deeper insights, and a happier team.
Scaling Without Limits
At some point, every growing company has this “data reckoning.” You can’t keep scaling analytics the old way. If you’re tracking billions of events, the traditional event-based model simply breaks technically and financially.
Warehouse-native analytics is the logical next step. It’s built for the kind of scale modern data teams are already operating at.
You get the performance and flexibility your product team needs, the cost predictability your finance team demands, and the self-service access your entire company has been begging for.
So if your analytics stack is starting to creak under the weight of your own success, it might be time to rethink your foundation. So, start building analytics the way your data was meant to be used.
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