Do I need a hosted search service for a startup?

Not always. It depends on what kind of search you need, how much traffic you expect, and how fast you need to ship.

You probably don’t need a hosted search service if:

• Your dataset is small to medium
• Search is a nice-to-have, not core to the product
• You can get by with:
  • simple database full-text search
  • basic filtering/sorting
  • a lightweight open-source search engine you manage yourself
• You have time/ability to handle:
  • indexing
  • relevance tuning
  • scaling
  • uptime/monitoring

For many startups, especially early-stage ones, Postgres full-text search or SQLite/FTS is enough to launch.

You probably do need a hosted search service if:

• Search is core to the user experience
• You need fast, relevant search across lots of documents/products/users
• You want:
  • typo tolerance
  • ranking/relevance tuning
  • faceting/filters
  • autocomplete
  • geo search
  • analytics on search behavior
• You don’t want to run search infrastructure yourself
• You expect growth and want to avoid re-architecting later

Hosted search can save a lot of engineering time, especially if your team is small.

Common startup tradeoff

A hosted search service gives you:

• speed to market
• less ops burden
• managed scaling

But costs:

• money
• vendor lock-in
• less control
• sometimes more complexity than you need

Practical rule of thumb

Ask:

1. Is search critical to user value?
   • If yes, invest in better search sooner.
2. Can a database search meet your current needs?
   • If yes, start there.
3. Do you have bandwidth to run search infra?
   • If no, hosted may be worth it.
4. Will poor search hurt retention/conversion?
   • If yes, use the simplest solution that meets quality needs.

A good startup approach

• MVP stage: start with database full-text search or a simple search library.
• Once usage grows or relevance matters: move to a hosted search service.
• If you already know search is central: choose hosted from day one.

If you want, I can help you decide based on your startup’s specifics — e.g. product type, dataset size, team size, and expected traffic.