What is Elasticsearch?

Elasticsearch; It is an enterprise-level search engine with open source code, widely distributed and easily scalable features using the Lucene infrastructure developed in Java. Elasticsearch, which is preferred by companies with large data processing capacities (Verizon, Netflix, Symantec, Facebook, etc.), is preferred due to its high performance structure in operations such as data search, queries, content search and recommendations. Accessible through a comprehensive and detailed API, Elasticsearch can perform your searches quickly and easily thanks to its data discovery feature.

Elasticsearch usage features

Log Analytics: You can analyze unstructured and semi-structured logs produced by websites, mobile devices, servers, sensors and other sites offering various applications such as digital marketing, advertising technology, gaming and IoT.

Full Text Search: It allows you to provide a rich search experience to your customers. Search results; It also has the ability to create advanced search criteria, along with the ability to narrow down your search by value ranges such as price, product features, and brands.

Distributed document store: Powers your application with an easy-to-use JSON document-based storage platform, so you can build highly performant applications that can store and retrieve billions of documents.

Real-time application monitoring: Elasticsearch indexes data and makes it available for analysis in real time (less than a second). You can then use Kibana, which comes integrated with Elasticsearch, for operational analysis such as visualizing data and identifying outages and problems.

Benefits of Elasticsearch

Easy-to-use API options: Elasticsearch offers REST-based APIs, which are simple HTTP interfaces. It uses JSON documents, making it easy to index, search, and query your data.

Plenty of free tools and plug-ins

Elasticsearch comes integrated with Kibana, a popular visualization and reporting tool. It also offers built-in integration with Logstash to easily transform source data using predefined templates and load data into your own index. In addition, many open source plugins allow you to add rich functionality to Elasticsearch.

Fast

Using distributed inverted indexes, Elasticsearch quickly finds the best matches from very large datasets for your full-text searches.

Support for your most popular scripting languages

A variety of open source clients are available for Elasticsearch developers. It supports Java, Python, PHP, Java Script, Node.js, Ruby, and many other scripting languages.

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