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Interactive design lab

Database Selector

What is database selection?

Database selection chooses the ownership and transaction boundary that will protect correctness while serving the system's hardest access paths.

Step 1

Model

Model the primary data shape, transaction scope, hardest query, consistency contract, traffic, latency, failure domains, and operating team before naming products.

Step 2

Observe

Use the ranked categories to expose contradictions, companion-store boundaries, and the conditions that should trigger a future migration.

Step 3

Challenge

Build a healthy baseline, then inject a hot tenant, region partition, schema wave, or analytical surge and watch the decision boundary move.

Database decision workbench

Choose the ownership boundary first

Model the data and transaction contract, set the operating envelope, then inject the failure that could invalidate an otherwise attractive choice.

Distributed SQL: 83

Challenge the healthy design

Scenario pressure changes the same ranking; it is not a separate quiz result.

Recommended decision boundary

Distributed SQL

Illustrative category · CockroachDB · YugabyteDB · Spanner-style systems

Conditional fit
83 / 100

Relational transactions spread across failure domains through a distributed consensus layer. Relational workloads that require multi-node or multi-region survivability.

Workload contract
relational · joins
multi record transaction, strict consistency
Source of truth
Distributed SQL
Owns authoritative writes and invariant enforcement.
Companion boundary
No companion forced
Start with one source of truth; add a projection only when a measured access path requires it.

Why it ranks here

  • Its distributed sql model fits the relational ownership shape.
  • The joins path is native to this category.
  • It can keep the declared multi-record invariant inside one transaction boundary.
  • Its normal contract can support strict reads and writes within the modeled boundary.

Contradictions to resolve

  • The operating model assumes expertise the current team does not have.
Observed under normal load
The declared envelope is internally testable

Evaluate the declared workload without an injected fault. Benchmark the hardest query, recovery behavior, and migration path before selecting a product.

Migration risk

Data locality, transaction span, and schema changes must be tested against consensus latency.

Revisit this decision when
  • Cross-region transaction latency exceeds the user-facing budget.
  • Hot ranges concentrate writes despite adding nodes.
  • Operational complexity outweighs the value of distributed writes.
Scores compare architecture categories, not vendor editions or contractual guarantees.Verify capabilities, limits, and failure behavior for the exact product and version.
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