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Head-to-head · Search Databases

Typesense vs ParadeDB

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Typesense #6 in Search Databases 8.8/10 Free plan Free plan✓ 2 of 2 features Visit Typesense
ParadeDB #9 in Search Databases 8.4/10 Free plan Free plan✓ 2 of 2 features Visit ParadeDB

Typesense leads on 0 checks, ParadeDB on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreTypesense · 8.8/10
  • Free planboth

Typesense scores higher on our rubric for search databases: 8.8 against 8.4 out of 10; our editors rank them #6 and #9.

On query interface, ParadeDB gives you SQL where Typesense offers REST.

Typesense is the better fit for simple search with free self-hosting. ParadeDB is the better fit for postgreSQL-native hybrid search.

  • Typesense fits best

    Simple search with free self-hosting

  • ParadeDB fits best

    PostgreSQL-native hybrid search

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Side by side

Feature Typesense 8.8/10 Visit ↗ ParadeDB 8.4/10 Visit ↗
At a glance
Editor score 8.8 8.4
Ranking #6 in Search Databases #9 in Search Databases
Best for Simple search with free self-hosting PostgreSQL-native hybrid search
Pricing model Free plan + paid Free
Starting price $22/mo Free
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Support Email, Community, Docs · 24/7 Community, Email, Docs
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Typesense 2/2 · ParadeDB 2/2
Vector search ✓ ✓
Faceted search ✓ ✓
Specs
Primary search mode Full-text Full-text
Deployment Both Both
Index limit Not checked yet Not checked yet
Query interface REST SQL
Our review
Pros
  • Free open-source server for local or self-hosted deployment
  • Typo-tolerant, faceted, geo, federated, and hybrid search
  • Cloud starts at $22 monthly with no per-search or per-record charges
  • Combines BM25, vector, and hybrid search in PostgreSQL
  • Supports facets, joins, filters, fuzzy queries, and highlighting
  • Uses transactional PostgreSQL indexes with SQL queries
Cons
  • Self-hosted deployments require your own infrastructure
  • Cloud pricing is configuration-based and billed hourly
  • The cloud free tier is a one-time allowance, not recurring free access
  • Community edition is limited to a single-node self-managed deployment
  • Cloud is listed as early access/coming soon
  • Enterprise pricing is custom
Our verdict

Typesense is an open-source search engine for developers adding search to websites, applications, documentation, and other digital products. It combines full-text keyword search with typo tolerance, filtering, faceting, sorting, geo…

Read the review →

ParadeDB is a PostgreSQL extension and search database for applications that need full-text, vector, faceted, or hybrid search over relational data. It is aimed at developers and teams that want search features inside PostgreSQL rather…

Read the review →
  1. TypesenseSearch Databases 8.8Free plan
  2. ParadeDBSearch Databases 8.4Free plan

Strengths and trade-offs

  • Typesense — where it wins

    • Free open-source server for local or self-hosted deployment
    • Typo-tolerant, faceted, geo, federated, and hybrid search
    • Cloud starts at $22 monthly with no per-search or per-record charges

    Where it doesn't

    • Self-hosted deployments require your own infrastructure
    • Cloud pricing is configuration-based and billed hourly
    • The cloud free tier is a one-time allowance, not recurring free access
  • ParadeDB — where it wins

    • Combines BM25, vector, and hybrid search in PostgreSQL
    • Supports facets, joins, filters, fuzzy queries, and highlighting
    • Uses transactional PostgreSQL indexes with SQL queries

    Where it doesn't

    • Community edition is limited to a single-node self-managed deployment
    • Cloud is listed as early access/coming soon
    • Enterprise pricing is custom

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update