A crucial feature of any ecommerce website is making sure your customers can find the product they are looking for as swiftly as possible. So making use of elasticsearch within Magento 2 will yield faster, more accurate results, making it easier and quicker for your customers to purchase.
Elasticsearch is an open-source search and analytics engine based on Apache Lucene and is built into Magento 2. Elastic.co was launched 2010 and has become a popular search engine and a viable alternative to MySQL for in-store search in e-commerce. The reason Elasticsearch has been embraced by Magento are the speed benefits that it brings, being much faster than standard MySQL queries. Elasticsearch is built into Magento 2, so there is no need to source a third party plugin. We can simply enable the Elasticsearch feature and this becomes available within your Magento 2 web store. Using Elasticsearch within Magento 2 as the main product search tool provides the following benefits to both you and your customers.
- Super Quick and advanced searches on products database
- Improved Support for multi- language
- Support for stop words
- Product indexing does not impact on customer experience
Elasticsearch is significantly faster than a standard MySQL search. This means a product search within Magento 2 will show search results much quicker aiding in the user experience. Elasticsearch does this by holding an index of your product database and only updates itself when changes are made via the admin area of your Magento 2 store.
For web store with large databases, elasticsearch is able to sift through your product data significantly faster than a normal MySQL database query. And due to it’s method if indexing will yield much improved accuracy and relevance to the person searching. Plus the larger your product database, the more noticeable the speed improvements are.
Elasticsearch within Magento 2 also provides the following benefits:
The term wildcard has been around in programming terms for years. What makes this special within Magento 2 is it allows you to create term-based queries that allow a specific word pattern. For example a wildcard for the word paint* could be adding wildcards of ‘ing’ or ‘er’. This allows you to direct the customer to more relevant search results, thus leading to an increase in them finding the correct product quicker and making a purchase.
Stopwords are the most common words in a language for example: a, the, to, etc. So these are carefully filtered which in turn improves the speed of the query. Additionally, synonyms provide more relevant results to a customer and as such will improve the shopping experience.
Is able to make use of 7 different languages ( including en_gb and en_us). Giving you the ability to reach a wider audience and still provide relevant search results.
There is no doubt that elasticsearch within Magento 2 is of huge benefit and aids in the over-all user experience. If you are using an older version of Magento or using an ecommerce platform that is not making use of this powerful tool, then get in touch today to discuss how we can help take your commerce store to the next level.
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