You already know more about Elasticsearch than you think. If you’ve ever used a spreadsheet, you’ve seen the basics: rows as documents, columns as fields, headers as rules. Elasticsearch takes that familiar model and supercharges it—storing data as JSON, splitting it into shards for scale, and applying mappings so it knows how to search every piece. In this week’s episode, Michael Heldebrant shows how Elasticsearch turns simple building blocks into fast, distributed search. Watch now: https://go

Somyajyoti Das on Instagram: "Search Engine Battle ⚔️ — ElasticSearch vs Meilisearch vs Algolia! Your search bar deserves the right engine! ⚙️ Here’s the 30-second showdown that every developer & founder must watch 👇 🚀 ElasticSearch → Powerhouse for BIG data & analytics. 💨 Meilisearch → Lightweight, startup-friendly & blazing fast. 🤖 Algolia → Smart, ML-driven, plug-and-play perfection. ✨ Rule of thumb: “Elastic = Muscle 💪 | Meilisearch = Speed ⚡ | Algolia = Luxury 🚘” #searchengine #elasti