Elasticsearch vs relational databases - Quick Revision & Key Differences

Recall & Review

beginner

What is Elasticsearch primarily designed for?

Elasticsearch is designed for fast, full-text search and analytics on large volumes of data, using a distributed, document-oriented approach.

beginner

How do relational databases store data compared to Elasticsearch?

Relational databases store data in tables with rows and columns, using a fixed schema, while Elasticsearch stores data as JSON documents in an index without a fixed schema.

intermediate

Which system is better for complex transactions and why?

Relational databases are better for complex transactions because they support ACID properties (Atomicity, Consistency, Isolation, Durability) ensuring reliable and consistent data changes.

intermediate

What is a key advantage of Elasticsearch over relational databases in search use cases?

Elasticsearch provides near real-time search with powerful full-text search capabilities, including relevance scoring and complex queries, which relational databases typically do not optimize for.

beginner

Can Elasticsearch replace relational databases for all applications?

No, Elasticsearch is not a replacement for relational databases. It excels at search and analytics but lacks strong transactional support and relational integrity needed for many applications.

What type of data structure does Elasticsearch use to store data?

A JSON documents

B Tables with rows and columns

C Key-value pairs only

D Flat files

Elasticsearch stores data as JSON documents in indexes, allowing flexible and schema-less storage.

Which database type supports ACID transactions?

A Relational databases

B NoSQL document stores

C Elasticsearch

D Flat file systems

Relational databases support ACID transactions to ensure data consistency and reliability.

Which system is optimized for full-text search and analytics?

A Key-value stores

B Relational databases

C Spreadsheet software

D Elasticsearch

Elasticsearch is built for fast full-text search and analytics on large datasets.

Which of the following is a limitation of Elasticsearch compared to relational databases?

A Lack of schema flexibility

B Poor full-text search

C Limited transactional support

D Slow data retrieval

Elasticsearch does not provide strong transactional guarantees like relational databases.

For which scenario would you choose a relational database over Elasticsearch?

A Real-time log search

B Complex financial transactions

C Full-text search on documents

D Analytics on large text data

Relational databases are better suited for complex transactions requiring data integrity.

Explain the main differences between Elasticsearch and relational databases in terms of data storage and use cases.

Think about how each stores data and what they are best at.

Describe why Elasticsearch is preferred for search applications but not for transactional systems.

Consider what makes search fast and what makes transactions reliable.