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Basics & Architecture

Elasticsearch vs Solr

Two Lucene-Based Engines
💡 Elasticsearch, aur, Solr, DO, "SISTER, COMPANIES", jaisi, HAIN, SAME, PARENT, (Lucene), se, — LEKIN, DONO, ne, ALAG, DIRECTION, mein, GROWTH, ki, hai, EK, DISTRIBUTED-FIRST, philosophy, ke, saath, DOOSRA, TRADITIONAL, enterprise, search, ke, saath.

Elasticsearch, aur, Solr, DONO, Apache, Lucene, PAR, hi, BANE, hain, — LEKIN, Elasticsearch, "DISTRIBUTED-FIRST" philosophy, ke, saath, DESIGN, kiya, gaya, THA, (JSON, REST, APIs, aur, HORIZONTAL, scaling, DAY, 1, se, CORE, mein, THE).

Elasticsearch, ka, ECOSYSTEM, ("ELK, Stack") LOG, aggregation, aur, OBSERVABILITY, ke, liye, INDUSTRY, STANDARD, ban, gaya, hai — Solr, ka, ECOSYSTEM, TRADITIONALLY, e-commerce, search, ke, liye, ZYAADA, STRONG, hai.

GET /products/_search
{ "query": { "match": { "title": "laptop" } } }
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Elasticsearch, aur, Solr, DO, "SISTER, COMPANIES", jaisi, HAIN, SAME, PARENT, (Lucene), se, — LEKIN, DONO, ne, ALAG, DIRECTION, mein, GROWTH, ki, hai, EK, DISTRIBUTED-FIRST, philosophy, ke, saath, DOOSRA, TRADITIONAL, enterprise, search, ke, saath.
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⚡ Quick Recap
  • Dono Apache Lucene par bane hain — core capabilities similar
  • Elasticsearch distributed-first philosophy ke saath design hua
  • ELK Stack log aggregation/observability ka industry standard ban gaya
On this page (2 subtopics)

Elasticsearch, aur, Solr, DONO, Apache, Lucene, PAR, hi, BANE, hain, — LEKIN, Elasticsearch, "DISTRIBUTED-FIRST" philosophy, ke, saath, DESIGN, kiya, gaya, THA (JSON, REST, APIs, aur, HORIZONTAL, scaling, DAY, 1, se, CORE, mein, THE).

💡Tip: Solr, ka, DEVELOPMENT, 2004, se, SHURU, hua, THA, JAB, DISTRIBUTED, systems, itni, COMMON, NAHI, THI — Elasticsearch, 2010, mein, aaya, JAB, "CLOUD-NATIVE" thinking, ALREADY, MAINSTREAM, ho, RAHI, THI.

Elasticsearch, ka, ECOSYSTEM, ("ELK, Stack" — Elasticsearch, Logstash, Kibana) LOG, aggregation, aur, OBSERVABILITY, ke, liye, INDUSTRY, STANDARD, ban, gaya, hai — Solr, ka, ECOSYSTEM, TRADITIONALLY, e-commerce, aur, ENTERPRISE, search, ke, liye, ZYAADA, STRONG, hai.

# Elasticsearch: JSON-native queries
GET /products/_search
{ "query": { "match": { "title": "laptop" } } }