ELASTICSEARCH
ELASTICSEARCH is a distributed search and analytics system. It is the most powerful and popular search engine for websites and applications of any purpose.
Elastic is both a data warehouse and search tools, including everything you need to fine-tune relevance and comprehensive analytics. This is a large-scale product that will suit both a standard online store and complex BigData enterprise solutions. You can gradually use its capabilities as your project grows.
Elasticsearch is a search engine, and its job is to quickly analyze data to provide search results for a website. Using a large online store as an example, it works like this:
- Developers add the Elasticsearch code to the website;
- The engine crawls the content and saves data about it to its storage;
- Specialists customize the work by adding weights, synonyms, and other attributes to optimize search queries;
- When your user enters a query, the engine looks through the indexes in its storage and returns results in less than a second.
First, Elasticsearch will understand what to show when your customers are looking for something specific, for example, for an online jewelry store, it can be silver rings with a green stone.
Secondly, due to a fundamentally different approach to data systematization and processing, the engine will find everything it needs much faster. If this query were processed directly by your database, no matter how cool it is, it would take much longer.
Thirdly, thanks to autocomplete and error correction tools, you will improve the UX of the site and increase conversion - everyone will find exactly what they were looking for.
Elasticsearch is able to conduct and combine different types of searches - structured and unstructured, geographic, morphological, metric, and so on. This means that you can help customers find what they are interested in faster and immediately display popular queries. Full-text search will help you understand everyone even before they finish the question and find matches for every word in the most complex query.
To help your users find what they're looking for instantly, the system uses rotating indexes with end-state converters for full-text queries, BKD trees for numeric and geographic data, and column storage for analytics. All of these are complex structures that may seem like "magic". With ElasticSearch, you'll get the fastest results loading, even from the largest database with multiple indexes, that is possible with modern technology.
ElasticSearch will collect and organize the data it needs for its work. Every time the content of the site changes, the engine will automatically update its database, and if necessary, you can manually re-index everything you need. Machine learning allows the system to select auto-corrections, highlight roots, and find synonyms, and with your help, the results will get even better.
Analytical tools will track searches in real time and tell you how to further improve the user experience. At the same time, you can use built-in visualization tools to conduct your own research. Gather data on who is searching for what, where, when, and what exactly in one place to see non-obvious trends. The AI engine will process the data together with you and find anomalies that you can quickly respond to.
ElasticSearch is something that every experienced developer would recommend. Especially if you plan to grow your business. For example, for small online stores or educational platforms that sell up to several dozen, maximum hundreds of products, there is no point in buying a subscription to a distributed search and analytics system. In such cases, the FTS built into PostgreSQL will do the job. But if you have a lot of items with a lot of attributes, and even more customers to interact with, then ElasticSearch is a worthwhile investment. The system provides a 14-day trial period for its products so that you can see for yourself the difference and subscription terms for businesses of any size.
ElasticSearch is a very powerful search engine, the integration of which will significantly speed up and improve the performance of the site's search engine. This is a set of tools based on machine learning that automatically indexes the content of the site and everything that happens to it. In addition to full-text search for site visitors and your employees, you will also get a complete understanding of customer preferences. You will know what characteristics they are interested in, when and from where your visitors most often come to you, and much more. And most importantly, you'll be able to easily conduct end-to-end analytics of any parameters.
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