Elasticsearch Vs Keyword Search: Which is Better?

Searching for information on the web can be overwhelming. There are so many different search algorithms and methods that it can be difficult to know which one is best for your needs. Two of the most popular search algorithms are Elasticsearch and Keyword Search. But which one is the better choice? Let’s take a closer look at each of these algorithms and compare them to see which one is better.

What is Elasticsearch?

Elasticsearch is an open-source search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open-source under the terms of the Apache license.

Elasticsearch is designed to be scalable and is often used to power large-scale search applications that require fast and powerful search capabilities. It is also optimized for real-time search, which makes it ideal for applications that require up-to-the-minute search results.

What is Keyword Search?

Keyword search is a search algorithm that relies on the use of keywords to find relevant information. It is the most basic type of search algorithm and is used by most search engines, including Google.

The keyword search algorithm looks for the keywords that the user has entered and then tries to match them with webpages that contain those same words or phrases. Keyword search is a relatively simple algorithm and is usually not very effective at finding relevant information.

Elasticsearch vs Keyword Search: Pros and Cons

Elasticsearch Pros:

• It is fast and powerful.
• It is optimized for real-time search.
• It is scalable and can handle large-scale search applications.
• It is open source and free to use.

Elasticsearch Cons:

• It requires technical knowledge to set up and manage.
• It is not as effective at finding relevant information as keyword search.

Keyword Search Pros:

• It is easy to use and requires no technical knowledge.
• It is the most widely used search algorithm.

Keyword Search Cons:

• It is not as fast as Elasticsearch.
• It is not optimized for real-time search.
• It is not as effective at finding relevant information.

Conclusion

When comparing Elasticsearch vs Keyword Search, it is clear that Elasticsearch is the better choice for most applications. It is fast, powerful, and optimized for real-time search. It is also open-source and free to use. However, it does require technical knowledge to set up and manage.

Keyword Search is a simpler algorithm and is easier to use, but it is not as effective at finding relevant information and is not optimized for real-time search.

For most applications, Elasticsearch is the better choice. It offers more powerful search capabilities and is the best option for applications that require up-to-the-minute search results.