SQL vs Elasticsearch How Companies Handle Search
Nakul Sharma
SQL vs Elasticsearch How Companies Handle Search
Digital Product
15Sales
"How does Netflix search through crores of titles in under a second?"
This is a favorite interview question at Netflix, Amazon, Flipkart and other product companies.
Most Data Analyst candidates answer "SQL" and lose the interview right there.
What is inside:
- Why SQL is slow for search and cannot handle typos
- What Elasticsearch is, explained with the book index analogy
- Key interview terms: inverted index, fuzzy matching, relevance score
- SQL vs Elasticsearch comparison table
- How both work together in real systems
- 5 scenario based interview questions with strong answers and examples
Useful for Data Analyst, SQL Developer and Data Engineer interviews.
What are people saying
Great talking with Nakhul He’s very comfortable to talk to and gives you a reality check, so it was great.
Anonymous
Aug 2026
A great listener, very friendly gave me useful insights which has cleared my mental fog during my preparation. Guided me to learn how to approach data analytics interview. Thank you!
Anonymous
Aug 2026
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Aug 2026
I reached out to Nakul in a clueless state.
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the cherry on top was when he actually helped me learn more about the role I was trying get into and what market actually expects the candidates to know.
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Highly recommended
Anonymous
Aug 2026
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Janvi kashyap
Aug 2026
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