Typesense vs Algolia vs Postgres Search: Practical Tradeoffs

Postgres first is often enough

For many MVPs and early products, Postgres full-text search is sufficient if query quality is acceptable and indexing strategy is intentional.

When specialized engines help

Move to Typesense or Algolia when you need stronger relevance tuning, typo tolerance, faceting quality, or dedicated search UX features that are expensive to reproduce yourself.

Decision factors

• product stage and query volume
• tolerance for operational ownership
• required relevance tuning depth
• cost predictability at scale

Practical guidance

Avoid premature migration. Start with the simplest approach that meets user expectations, then upgrade search architecture when real usage makes the limits obvious.