Elasticsearch is a solution from the Dutch company Elasticsearch B.V., used for searching and analyzing large amounts of data. Over the past few years, Elasticsearch has gained popularity, especially due to its useful features and free license. Let's see what we can use Elasticsearch for!

Firstly, we would like to mention that Hawatel provides Elasticsearch implementation services. We gained experience in implementing Elasticsearch, among others, in one of the largest banks in Poland. Feel free to contact us!

What is Elasticsearch?

Elasticsearch is an open and scalable search and text analytics engine that enables the analysis of large amounts of data in real-time. It comes from a family of products along with Logstash and Beats, allowing the connection of data streams, and Kibana, which is used for data visualization in Elasticsearch.

Elasticsearch is one of the most popular tools for text analysis and search. Due to its numerous functionalities, it is widely used in industries such as e-commerce, social media, IT, and many others.

Elasticsearch enables the creation of advanced text queries and data aggregations. It allows for easy processing and visualization of results. Its architecture is based on a distributed model, meaning that data is stored and processed on multiple nodes, ensuring high availability and scalability.

How does Elasticsearch work?

In short, Elasticsearch collects data from various sources such as applications or files. Then, they are analyzed and normalized, and later indexed in Elasticsearch. After successful indexing, data is available to users who can create visualizations of their data in Kibana. Integration with the system is also possible through the REST API interface.

What functionalities does Elasticsearch have?

Elasticsearch has very important functionalities. One of them is fast searching of large amounts of textual data. It excels with documents, web pages, entire files, or individual records in a database.

Elasticsearch is much more than just a tool for text data analysis. As mentioned earlier, it also offers advanced tools for visualizing search results and data analysis. This allows users to observe trends and patterns in their data in a readable way.

Application of Elasticsearch

According to the manufacturer's information, the software can be used in the following cases:

• Application search,
• Website search,
• Enterprise search,
• Logging and log analysis,
• Infrastructure metrics and container monitoring,
• Application performance monitoring,
• Analysis and visualization of geospatial data,
• Security analytics,
• Business analytics.

Elasticsearch is used wherever a fast and accurate search engine and analysis of large data sets in real-time are needed.

Elasticsearch is used by many well-known companies and organizations, including NASA, LinkedIn, GitHub, Netflix, Adobe, IBM, Stack Overflow, Shopify, eBay, and many others. This is also an excellent recommendation for small businesses and startups that need a reliable search tool.

Which programming languages does Elasticsearch support?

These are:

• Java
• JavaScript (Node.js)
• Go
• .NET (C#)
• PHP
• Perl
• Python
• Ruby

You can also find libraries for other programming languages developed by the Elasticsearch community online.

Do you want to learn more about Elasticsearch? Write to us!