Why Your Data Stack Costs 10x More Than It Should

One of the most common questions I’m asked almost every week is: Why is DIVE different?

Let me start by saying: many off-the-shelf analytics tools work great at first. They help teams get quick dashboards, track events, and launch with confidence.

But here’s the catch: once your product scales, the way companies and data interact hasn’t really changed for decades — and that’s where things start to break.


🚀 The Typical Journey

  • Product launch. A team builds a product, launches a beta, and starts growing.
  • Demand for insights. Product managers and marketing teams want deeper answers to drive traction, monetization, and campaigns.
  • Hiring an analyst. Naturally, the company hires a data analyst. The first thing they ask for? SQL and Excel. That’s how analysts actually work.
  • Reality check. With most off-the-shelf tools, there’s no direct SQL access. The analyst can’t do their job. Frustration builds.
  • The workaround. The company extracts data, builds pipelines, adds a warehouse, and suddenly… an in-house data team is born.

🔄 The Spiral

Before you know it:

  • You have data engineers, analysts, scientists, and devops maintaining layers of tools.
  • Your “data stack” now costs hundreds of thousands, sometimes millions, per year.
  • Instead of building features, you’re building plumbing.

It feels like progress, but really it’s waste. Money, time, and talent are tied up solving problems created by the very tools you started with.


💡 Why I Started DIVE

This cycle is exactly why I built DIVE.

We provide the whole data “circus” — ingestion, pipelines, analysis, and scale — for a flat, entry-level price of less than a part-time data analyst.

✅ No hidden costs

✅ No need for 5–10 extra hires

✅ No expensive warehouses or tool stacks piling up

Our clients grow revenue without ever needing to build an internal data team or chase every shiny new tool.


🌍 The Bigger Picture

As an industry, we’ve become wasteful. We keep raising money, buying tools, and hiring bigger teams — instead of investing directly into better products, better services, and better user experiences.

New tools will always appear. Each promises to solve the problems created by the last. But complexity isn’t innovation.Simplicity and efficiency are.


✅ Bottom Line

Off-the-shelf tools are fine early on.

But if you want to scale without scaling waste, you need something built for it.

That’s exactly why I built DIVE.

👉 Curious — have you seen this spiral at your company?