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Elasticsearch vs Postgres full-text search — for your app, not in general

Elasticsearch or Postgres full-text search? Scored on documented capabilities for your requirements — the honest fit comparison, with "No clear winner" when they're genuinely close.

Capabilities verified 2026-07-17 against official documentation · fit weights are our estimates (see methodology) · share the URL to share your configuration

As of Jul 2026, for this page's default requirements, Postgres full-text search is the conditional pick at 69% capability fit (Elasticsearch: 64%). This is a capability-fit decision, not a price ranking — StackSays does not invent a unified dollar comparison across these tools' incompatible billing units. Change any requirement below and the verdict recomputes.

Your requirements

The verdict updates as you change these. Share the URL to share your answers.

Search typekeyword = exact/prefix; semantic = meaning/AI; hybrid = bothCorpus sizehow many documents you'll indexFaceted filteringfilter/refine by attributesTypo tolerancefuzzy matching on misspellingsDeploymentmanaged SaaS vs run it on your own infraOps capacityhow comfortable you are running search infrastructureAlready run Postgresyou have a Postgres DB in the stackAvoid lock-inprefer open source / portable

Conditional pick

Postgres full-text search (69% fit)

Ranked by capability fit

Postgres full-text search vs Elasticsearch — the tradeoffs that decide it

Operational burden: Postgres full-text search — Low operational burden (managed or lightweight). Elasticsearch — Cluster/shard/JVM ops are real work — heavy for a minimal-ops team.
Typo tolerance: Postgres full-text search — Weak/absent typo tolerance — relevance suffers on misspellings. Elasticsearch — Built-in typo tolerance / fuzzy matching (documented).

When to pick Elasticsearch instead: when the lines above where it leads matter more to you than the ones where Postgres full-text search leads. Change the inputs to see the ranking flip.

This is a capability-fit decision, not a price ranking — these tools bill in incompatible units (per-search vs per-RAM cluster vs per-PB scanned) and several publish rates only in their own calculators, so StackSays does not invent a unified dollar comparison. Every score above traces to a documented capability; see Data sources below.

At a glance

Tool	Deployment	Open source	Verified
Elasticsearch	Managed or self-hosted	No	2026-07-17
Postgres full-text search	Managed or self-hosted	Yes	2026-07-17

Where did you land?anonymous, one click

Data sources

Tool	Source	Verified
Elasticsearch	Elasticsearch documentation (capabilities)	2026-07-17
Postgres full-text search	PostgreSQL full-text search docs (capabilities)	2026-07-17

A monitor re-checks these pages for changes; when a vendor moves a price, the date updates and every verdict recomputes.

Keep deciding

Compare head-to-head

Postgres search vs Algolia — do you even need a search service? →Algolia vs Typesense — for your app, not in general →Algolia vs OpenSearch — for your app, not in general →Algolia vs Elasticsearch — for your app, not in general →Algolia vs Meilisearch — for your app, not in general →Meilisearch vs Typesense — for your app, not in general →

Alternatives

Algolia alternatives — matched to your requirements →Meilisearch alternatives — ranked for your stack →Typesense alternatives — ranked for your stack →Elasticsearch alternatives — ranked for your stack →OpenSearch alternatives — ranked for your stack →

← All Which search should I use?Search & Vector Databases channel →