When choosing a database for a new project or evaluating whether the current database can support planned growth.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: System Design & Architecture - Use case: Database Selection Guide - Source task: - I am building {{describe_the_system}}. My data characteristics: {{structured_semi_structured_unstructured}}, {{read_heavy_write_heavy_balanced}}, {{relational_hierarchical_graph_like}}, estimated size {{data_volume}}. Recommend: - 1. the best database type and specific product with justification - 2. schema design or document structure - 3. indexing strategy - 4. how to handle {{specific_query_pattern}} - 5. what the next database bottleneck will be at 10x scale and how to address it # Goal Database recommendation with justification, schema/structure design, indexing strategy, and a 10x scale bottleneck analysis. # Constraints - Produce a complete, usable first draft in one response. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Database recommendation with justification, schema/structure design, indexing strategy, and a 10x scale bottleneck analysis.
{{double-curly}} with your real context.When choosing a database for a new project or evaluating whether the current database can support planned growth.
'Just use Postgres' is often the right answer for early-stage systems — complexity of specialised databases should be justified by a specific, proven bottleneck.
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