Pick your search engine — 12 options across the five categories that decide most picks
Your search choice decides whether your buyers find what they came for or bounce. The directory filters by hosted SaaS / open source / embedded / database-native / AI-aware, plus engine, pricing, and the vector-support and edge-ready flags. Every entry gives you a one-line summary, a concrete best-for, an honest skip-this-if, and a paragraph of opinion.
10 SIDE-BY-SIDE COMPARISONS → TOP-5 DECISION HUB →Filter the list
Showing 12 of 12
Elasticsearch
matureThe full-blown distributed search + analytics engine. Capable, complex, expensive at scale.
Meilisearch
Rust-based open-source search. Simple API, fast typo tolerance, growing fast.
Typesense
Open-source search server, Algolia-shape API. Self-host or Typesense Cloud.
OpenSearch
AWS's Elasticsearch fork. Apache 2.0, AWS-managed via OpenSearch Service.
Manticore Search
Sphinx successor — open-source search engine optimised for raw speed and SQL syntax.
Lunr.js
matureJavaScript-only client-side search. The original Pagefind, now mostly superseded.
Vespa
matureYahoo-built distributed search + ranking + vector. Hybrid retrieval at extreme scale.
Marqo
AI-aware search engine with built-in embedders. Multimodal lexical + vector hybrid.
Pagefind
Static-site search via WASM. Zero infrastructure. Perfect for Astro / Hugo / Eleventy sites.
Algolia
The polished hosted search SaaS. Best DX, fastest p99 latency, premium pricing.
Postgres Full-Text Search
Built into Postgres. Free, no separate service, good enough for most apps.
MongoDB Atlas Search
Lucene-powered search inside MongoDB Atlas. Document data + full-text in one query.
No engines match your current filters.
The search engine choice is the easy half — your relevance design is the hard one
Picking the engine is the easy half. The hard half is your typo tolerance, your synonym dictionary, your relevance tuning, and the analytics loop that tells you whether your search is helping conversions. The 30-min call is the right starting place — describe your corpus, your query patterns, your conversion bar.