🗃️
⚖️ Decide
LV2 · Toolooo Standard
Explore → See → Understand → ActUnderstand it. Feature Level describes the depth of the tool experience.

Database Decision Lab

Weigh database options against your own priorities and see a transparent, scored recommendation.

EngineeringDatabaseArchitecture

How much do you care about each of these?

5
5
5
5
5
PostgreSQL7.6 / 10
MongoDB6.8 / 10
DynamoDB-style KV6.4 / 10
Cassandra-style wide-column5.6 / 10
ConsistencyPostgreSQL
ScalabilityDynamoDB-style KV
Query FlexibilityPostgreSQL
Ops SimplicityDynamoDB-style KV
Cost EfficiencyPostgreSQL

For the priorities you selected, PostgreSQL scores highest — driven mostly by consistency.

What would change this: MongoDB scores higher on scalability — raise that priority enough and it can overtake PostgreSQL.

DimensionYour weightPostgreSQL
Consistency5/109/10
Scalability5/106/10
Query Flexibility5/109/10
Ops Simplicity5/107/10
Cost Efficiency5/107/10
Where do these scores come from?

Each database's 0–10 score per dimension is an editorial assumption based on general, well-known characteristics of that class of database — not a benchmark of any specific version or workload. Real-world results depend heavily on your schema, access patterns, and configuration. Use this to reason about tradeoffs, not as a purchasing decision on its own.

Understand Database Decision Lab

What this tool helps you understand

Set how much you care about consistency, scalability, query flexibility, ops simplicity, and cost, and Database Decision Lab scores PostgreSQL, MongoDB, a DynamoDB-style key-value store, and a Cassandra-style wide-column store against those exact priorities — showing which inputs caused the result, never claiming one database is universally "the best."

When to use it

Use Database Decision Lab when engineering, database, and architecture work raises questions about database comparison, postgres vs mongodb, and database decision and you need a concrete view before making the next move.

How to read the result

Treat the leading option as the best fit for the priorities you selected. Review the score breakdown before acting because changing those priorities can change the result.

Assumptions and limits

The comparison uses transparent editorial scores and the priorities you choose. It supports a decision; it does not prove that one technology or approach is objectively best.