SearchStack
Adds a real search bar to your app or website without you having to run your own search server — upload your data, and it's instantly searchable, including by meaning, not just exact words.
🔗 Visit SearchStack
Description
Building good search into a product usually means standing up and tuning a search engine like Elasticsearch yourself, which is real infrastructure work most small teams would rather skip. SearchStack is a hosted search backend: you send it your data (via JSON/CSV import or a live feed) and get full-text search, semantic/vector search, and even image or video search back as an API, without managing any search infrastructure.
Beyond basic keyword search, it includes autocomplete, a search-quality evaluation feature that scores how well queries are matching (a "pass rate"), real-time data syncing so results stay current, and schema-flexible field configuration that doesn't require migrations when your data shape changes. It also exposes an MCP server so AI agents can query the search index directly, and offers a bring-your-own-backend free tier for teams already running Elasticsearch, Azure Search, OpenSearch, or PostgreSQL.
💬 Our review
The short version: SearchStack is a solid pick if you want good search — including semantic/AI-flavored search — without becoming a search-infrastructure team, and its free tier is generous enough to actually build on before paying.
Against Algolia, the long-established leader in hosted search, SearchStack's differentiators are semantic/vector search and image/video search built in from the start (Algolia's core strength has historically been pure text relevance, with AI features added later), plus a notably cheaper entry price — Algolia's usage-based pricing can get expensive fast at scale, while SearchStack's flat tiers ($29-299/month) are easier to predict. Typesense Cloud is the closer budget comparison, being open-source-based and similarly priced. The 10k-record free tier is real enough to prototype a small-to-medium app's search before committing to a paid plan. Worth trying first for any team not already deep into Algolia's ecosystem.
📊 Global score
🤖 AI-enriched data
Gratuit (10 000 enregistrements, 5 listes) ; Starter $29/mois (50k) ; Pro $99/mois (250k) ; Scale $299/mois (1M)
Pros
Recherche sémantique/vectorielle et image/vidéo incluses dès le départ
Tarifs à paliers fixes, plus prévisibles qu'Algolia à l'usage
Pas de migration de schéma nécessaire pour ajouter des champs
Serveur MCP pour interrogation directe par des agents IA
Cons
Moins établi qu'Algolia, moins d'historique de fiabilité à grande échelle
Comparaison directe de performance texte pur vs Algolia non vérifiée indépendamment