Algolia
The most popular hosted search-as-a-service. Fastest query speeds, largest ecosystem with InstantSearch UI widgets, but pricing scales aggressively.
Search services compared — with real pricing, hidden costs, and known gotchas. Each entry includes integration code and relevance tuning details.
Every search service is assessed on: query speed, relevance quality, typo tolerance, self-hosting options, pricing transparency, and integration complexity.
Quick recommendation:
| I need… | Use this | Starting price | Watch out for |
|---|---|---|---|
| Enterprise-grade hosted search | Algolia | Free 10K searches/mo | Pricing jumps fast; negotiate 30-60% off |
| Open-source with great DX | Typesense | Free (self-hosted) / $29/mo (Cloud) | Smaller ecosystem than Algolia |
| Simplest possible search | Meilisearch | Free (self-hosted) / $30/mo (Cloud) | Less mature for large-scale production |
| Search without extra infra | PostgreSQL FTS | Free (your existing DB) | No typo tolerance; limited relevance ranking |
| Service | Free Tier | Catches | Permanent? |
|---|---|---|---|
| Algolia | 10K search requests/month, 10K records | Overage billed automatically; UI branding required | Yes |
| Typesense | Unlimited (self-hosted) | Self-hosted requires your own infrastructure | Yes |
| Meilisearch | Unlimited (self-hosted) | Self-hosted requires your own infrastructure | Yes |
| PostgreSQL FTS | Unlimited (built-in) | Performance depends on your database resources | Yes |
npm install algoliasearch
import algoliasearch from 'algoliasearch';
const client = algoliasearch('YourApplicationID', 'YourSearchOnlyAPIKey');
const index = client.initIndex('products');
// Index a record
await index.saveObject({ objectID: '1', name: 'iPhone 15', price: 999 });
// Search
const { hits } = await index.search('iphone');
console.log(hits);
npm install typesense
import Typesense from 'typesense';
const client = new Typesense.Client({
nodes: [{ host: 'localhost', port: '8108', protocol: 'http' }],
apiKey: 'your-api-key',
});
// Search
const results = await client.collections('products')
.documents()
.search({ q: 'iphone', query_by: 'name' });
console.log(results.hits);
Full integration guides on each service page.
For small apps, PostgreSQL Full-Text Search is the simplest choice if you already use Postgres — zero extra services, zero extra cost. If you need typo tolerance and instant results, Meilisearch is the easiest dedicated search engine to set up, with a single binary and no configuration required.
Choose Algolia if you want the largest ecosystem (InstantSearch UI widgets, crawler, analytics, A/B testing) and can afford the pricing. Choose Typesense if you want open-source, self-hosting options, and similar search quality at a fraction of the cost. Typesense is the best Algolia alternative for teams that want control over their infrastructure.
Use PostgreSQL FTS when your dataset is under ~1M rows, you don’t need typo tolerance, and you want to avoid adding another service to your stack. It works well for blog search, admin panels, and internal tools. Switch to a dedicated engine when you need typo tolerance, faceting, instant search-as-you-type, or sub-10ms response times.
PostgreSQL FTS is free (uses your existing database). Typesense and Meilisearch are free to self-host; their cloud offerings start at $29-30/month. Algolia starts free (10K searches/month) but scales to hundreds or thousands per month — always negotiate pricing, as 30-60% discounts are common.
The most popular hosted search-as-a-service. Fastest query speeds, largest ecosystem with InstantSearch UI widgets, but pricing scales aggressively.
Open-source search engine built in Rust. Simplest setup of any dedicated search — single binary, zero configuration, instant results out of the box.
Built-in full-text search in PostgreSQL. No extra service, no extra cost, no extra infrastructure — use what you already have.
Open-source search engine with great developer experience. Self-host for free or use Typesense Cloud. Best Algolia alternative with lower cost and no vendor lock-in.