Apps Built with Elasticsearch
Search is one of those features that looks simple until real users touch it. People misspell product names, type in a mix of languages, and expect partial matches to work, and a database LIKE query fails all three. Elasticsearch handles fuzzy matching, relevance ranking, faceted filtering and typo tolerance, which is why it shows up behind marketplaces, classifieds, job boards and any catalogue big enough that browsing stops being viable. It is also used for log and event analysis, giving small teams a way to investigate production problems without a dedicated observability platform. The cost is operational: it is memory-hungry and genuinely needs tuning, so teams either commit to running it properly or use a managed offering. Browse the products built with it below.
Browse by tech stack
AWS 
Anthropic 
Azure 
Clerk 
Cloudflare 
Datadog 
Django 
Docker 
Elasticsearch 
Express 
FastAPI 
Firebase 
GitHub Actions 
Go 
Google Cloud 
GraphQL 
Hetzner 
Java 
Kubernetes 
Laravel 
MongoDB 
MySQL 
Nginx 
Node.js 
PHP 
PostgreSQL 
Prisma 
Python 
RabbitMQ 
Redis 
Resend 
Ruby 
Rust 
SQLite 
Sentry 
Stripe 
Supabase 
Terraform 
Angular 
CSS 
Electron 
Expo 
Flutter 
HTML5 
JavaScript 
Next.js 
React 
Sass 
Svelte 
Tailwind CSS 
TypeScript 
Vue.js Frequently asked questions
- Why not just use database search?
- Database queries handle exact and prefix matching poorly for real users, who misspell words and mix languages. Elasticsearch adds fuzzy matching, relevance ranking and faceting.
- What does it cost to run?
- It is memory-intensive and needs tuning, so most small teams either budget for a managed service or accept real operational work.