A question buyers ask AI

Which backend services have built-in full-text search that's good enough that I can skip adding a separate search engine?

Measured in 1 answer, last on Nov 12, 2026. Only the passages that name a brand are shown.

Brands in the answers

BrandNamed inRecommended inPositiveAvg. position
Supabase100%100%100%1
PostgreSQL100%100%100%1
MongoDB Atlas100%100%100%2
Convex100%100%100%3
Typesense100%0%100%4
Elastic100%0%0%—
Algolia100%0%0%—
Appwrite100%0%0%—
Firebase100%0%0%—
Meilisearch100%0%0%—
PGroonga100%0%100%—

Where each answer names a brand

Answer 1 · Nov 12, 2026 · 11 sources cited
Supabase#1RecommendedSite citedpositive
“Supabase — best overall balance of functionality, flexibility, and simplicity.”
+ built-in search

“Supabase (PostgreSQL) | PostgreSQL FTS | Limited | Prefix matching | Excellent”

− typo tolerance

“Supabase (PostgreSQL) | PostgreSQL FTS | Limited | Prefix matching | Excellent”

PostgreSQL#1RecommendedSite citedpositive
“PostgreSQL-based backends — excellent built-in full-text search, especially for traditional application search.”
+ built-in full-text search

“PostgreSQL has a mature full-text search implementation:”

+ language-aware stemming

“- Language-aware stemming.”

+ stop-word removal

“- Stop-word removal.”

+ ranking with ts_rank

“- Ranking with ts_rank.”

+ phrase searching

“- Phrase searching.”

+ boolean queries

“- Boolean queries.”

+ GIN indexes for performance

“- GIN indexes for performance.”

+ prefix matching

“- Prefix matching.”

− typo tolerance

“Native PostgreSQL FTS isn't a replacement for sophisticated typo-tolerant search.”

MongoDB Atlas#2RecommendedSite citedpositive
“MongoDB Atlas — Atlas Search provides sophisticated full-text search without managing a separate search cluster.”
+ fuzzy/typo-tolerant search

“- Fuzzy/typo-tolerant search.”

+ autocomplete

“- Autocomplete.”

+ language-specific analyzers

“- Language-specific analyzers.”

+ custom relevance scoring

“- Custom relevance scoring.”

+ faceted search

“- Faceted search.”

+ synonyms

“- Synonyms.”

+ highlighting

“- Highlighting.”

+ complex compound queries

“- Complex compound queries.”

Convex#3RecommendedSite citedpositive
“Convex — built-in search indexes with a developer-friendly, reactive application model.”
+ full-text search indexes

“- Full-text search indexes.”

+ relevance-based ranking

“- Relevance-based ranking.”

+ prefix matching

“- Prefix matching.”

+ filtering on indexed fields

“- Filtering on indexed fields.”

+ pagination

“- Pagination.”

+ reactive results

“- Reactive results that update as data changes.”

− typo tolerance

“Limitations: No typo tolerance, and its search functionality is more constrained than a dedicated search engine.”

Typesense#4positive
“Typesense-powered backends — particularly good if you want search-oriented functionality without operating Elasticsearch yourself.”
“avoid running a separate service like Elasticsearch, Meilisearch, or Algolia”
“avoid running a separate service like Elasticsearch, Meilisearch, or Algolia”
AppwriteSite citedmixed
“Appwrite | Database full-text indexes | Limited | Limited | Good”
+ full-text search through indexed string fields

“Appwrite offers full-text search through indexed string fields.”

− advanced search requirements

“However, I wouldn't choose it specifically for advanced search requirements such as sophisticated autocomplete, typo tolerance, and custom relevance ranking.”

FirebaseSite citednegative
“Firebase (Firestore) | No native full-text search engine | No | No | Requires external search”
− no native full-text search

“Firestore doesn't offer a native, general-purpose full-text search engine.”

“avoid running a separate service like Elasticsearch, Meilisearch, or Algolia”
PGroongapositive
“One additional consideration: if you're using PostgreSQL, look at PGroonga.”
+ multilingual text support

“It extends PostgreSQL's search capabilities, particularly for multilingual text, including Japanese and Chinese.”

Sources the answers cite

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