Advantages and disadvantage of Elasticsearch
Elasticsearch is a distributed document-oriented search engine, which is used to store data in the form of a document. It has several advantages as well as some disadvantages too. Below are the following topics of Elasticsearch is discussed in detail:
Let's look at some key advantages of using Elasticsearch NoSQL database.
Advantages of Elasticsearch
Disadvantages of Elasticsearch
Features of Elasticsearch
Elasticsearch has various features, which makes it flexible and powerful. A list of Elasticsearch features is given below with a detailed explanation.
It can be scalable across multiple nodes. So eventually, you can start with a single node or two or three nodes. If the workload grows, in that case, you scale across multiple nodes. So, the more instances can be added to a cluster whenever needed. It is horizontally scalable.
It is very fast comparatively other search engines. It executes operations on data very fast.
Elasticsearch is a multilingual means it is available in various languages. So, the people of different regions can use it in their languages.
4. Document Oriented
Elasticsearch is document-oriented, which does not use schemas and tables to store data. It stores all the data in a document form. Therefore, whatever document is created, the data is presented in the form of JSON format, which is a widely accepted web format. So, you can integrate several solutions as it provides you the output in terms of JSON format.
5. Autocompletion and Instant Search
It supports auto-completion and instant search. So, whenever you start typing queries, it automatically does support the auto-completion. It automatically provides suggestions to complete queries.
6. Schema less
It is schema-less because it follows the document-oriented approach instead of schemas and tables. So, the data is stored in documents in Elasticsearch.
7. Open Source
It is an open-source search database search engine. So, anyone can download it without paying any license cost.
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