LV2 · Toolooo Standard
Database Decision Lab
Weigh database options against your own priorities and see a transparent, scored recommendation.
How much do you care about each of these?
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.
| Dimension | Your weight | PostgreSQL |
|---|---|---|
| Consistency | 5/10 | 9/10 |
| Scalability | 5/10 | 6/10 |
| Query Flexibility | 5/10 | 9/10 |
| Ops Simplicity | 5/10 | 7/10 |
| Cost Efficiency | 5/10 | 7/10 |
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.
What this tool does and why
Before you start
What
Weigh database options against your own priorities and see a transparent, scored recommendation.
Why
Database choices depend on the priorities of the specific system, so a transparent score is more useful than a universal ranking.
Your Result and Action update in the tool as you change its inputs.
Model note
This browser-side model explains the inputs you choose. Check an important decision against the real system, brief, or production constraints.
Next
How this tool stays honest
How it works
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."
Assumptions
The tool runs in your browser and models the information you provide. It does not know facts outside that model.
Limitations
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.
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
When database options need comparison against explicit priorities.
Try a scenario
Increase the priority of consistency and then of flexible document shape. Inspect why the ranking changes before choosing a technology.
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.
Toolooo is part of Khizooology, created byKhizar Imtiaz (khizooo).