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Introduction

What Datapace is: one map of your data platform with the cost and use of every part, savings proposed as pull requests, and the same map for your AI.

What Datapace is

Datapace maps what your platform holds, what it costs, and what it’s used for, so you can cut waste without compromising performance or reliability.

Data platforms keep growing: more databases, more cloud, more pipelines, and now AI on top. Fewer people can say what the platform holds, what it costs, or what it is for. Datapace is the layer that knows those three things and turns them into action, with your team in control.

What you get

  • One map. Your databases, warehouses, pipelines and what uses them, each with its usage and its cost.
  • Proposed changes. Agents suggest changes as pull requests. Your team reviews and merges. Datapace applies nothing.
  • The same map for your AI. Your own agents and copilots read it over MCP, with any LLM.

Where it starts

With cost: find what is wasted and propose the fix. Then performance, migrations, modernization and AI on the data.

Next: see how it works and what it can connect to. To see it on your own platform, book a call.

Last updated on October 25, 2026