A data system is its coordinate.

Storage and retrieval is a structured design space. Ten axes classify any system that keeps records and answers questions about them. Position predicts behavior — what it answers quickly, what it guarantees, what survives, and what it costs in joules.

c = ⟨ W, S, T, C, D, Q, V, R, N, τ ⟩

The cell coordinate · ten axes, one tuple

Position predicts behavior.

A periodic table works because where an element sits tells you how it behaves. The same structure holds for data systems. Each axis is a finite, independent dimension of design. A system occupies one position on each; the tuple of those positions is what the system is.

Read across the coordinate and the system explains itself — the questions it answers for free, the ones it answers at the Landauer floor, the guarantees that travel with each answer, what survives a failure, and the joules each operation costs against its physical minimum.

The stack is a way of seeing, not a verdict. It classifies what exists, makes the structure of the design space legible, and lets a system be reasoned about before it is built — the same move the Periodic Stacks of Computation and Information make for their domains.

Ten orthogonal axes.

Five inherit from textbook database theory. Three — T, V, R — are shared with the sibling OpenIE stacks. Two close the distribution and temporal dimensions.

The addressable map.

The product of the axis cardinalities is the discrete coordinate space. Most of it is structurally constrained; what remains is the map on which every data system has a place.

5 · 12 · 4 · 7 · 5 · 7 · 5 · 4 · 6 · 5 = 35,280,000

Discrete cell count · the addressable map of data-system space

35,280,000

discrete cells

10

orthogonal axes

258

compute primitives below

One method, applied across fields.

The same axes recur. T inherits from the compute stack. V and R are shared with the information and synthesis stacks. A primitive has consistent coordinates across all of them.