What Is Elasticsearch Used For?

Relying on hard data, rather than informed guesswork or observations to make business decisions is a critical component of success for small, family-owned businesses, enterprises, and large corporations. Such data-driven decision making continues to gain significance in various industries as business technology evolves.

Data-driven decision-making aims to make decisions derived from key datasets that display their forecasted efficacy and potential performance. To acquire data pertaining to customers’ and consumers’ brand preferences, digital behaviors, lifestyles, attitudes, income, location, gender, age, and other demographics that can be useful in creating business decisions and actions, many companies use various enterprise tools.

Technology and Data

Computer technology companies provide businesses with software solutions that enable them to predict how buyers might respond to a new product or changes made to an existing product, or make decisions regarding improving customer satisfaction and expanding business operations to a second location.

Understanding that data is becoming more complex and connected, companies create self-service data solutions. Such products are beneficial, as they allow other organizational team members in addition to skilled data scientists to understand the figures and data, make sense of analyses, and create data-supporting decisions.

The right technological solutions, such as those offered by the computer technology company SearchBlox, give businesses practical methods for data management, especially for large amounts of data. A leading provider of enterprise search, visualization, sentiment analysis, and text analytics solutions, SearchBlox supplies products that help businesses create simpler processes for analyzing data derived from customer surveys, email, social media, websites, and other sources. Software solutions based on open source technologies, such as the elastic search tool built on Elasticsearch, improve data security and optimize enterprise search engines.

What is Elasticsearch?

The world’s leading open-source search engine and analytics solution, Elasticsearch, is practical for managing textual, numerical, geospatial, structured, and unstructured data. Elasticsearch, built on Apache Lucene, has notable speed, scalability, and rest APIs. Additionally, Elasticsearch is the main feature of the Elastic Stack, also called the ELK Stack as a reference to Elasticsearch, Logstash, and Kibana. The ELK Stack is a set of open-source tools for ingesting, storing, analyzing, and visualizing data.

Elasticsearch’s data structure has its basis in documents rather than schemas and tables. Furthermore, Elasticsearch can process JSON requests, return appropriate data, and support several programming languages, including Python and Java.

Among other benefits, Elasticsearch is fast. A near real-time search engine with typically one second between document indexing and searchability, Elasticsearch provides efficiency that makes it the most viable solution for handling time-sensitive use cases, such as security analysis. The speed of Elasticsearch and its scalability and capability to index various content make this solution useful for enterprise searches, business analytics, security analytics, data analysis, and data visualization. Using SearchBlox’s Elasticsearch service, enterprises can maximize the return on their investment in Elasticsearch.

What Are Some Ways to Use Elasticsearch?

Capable of quickly storing, searching, and analyzing large volumes of data, Elasticsearch is typically the technology that underlies and powers applications with complex search requirements and features. Elasticsearch is an efficient, robust, and appropriate solution for various enterprise needs.

Elasticsearch is a robust solution for enterprise searches, application searches, website searches, business analytics, security analytics, application performance monitoring, data visualization, geospatial data analysis, container monitoring, infrastructure metrics, and more. Its documentation and storage capabilities make this software great to use as a primary data storage.

In addition to data storage, businesses can use Elasticsearch as a complementary technology solution to add visualization capabilities to SQL, for example, or enhance other technological software by adding indexing, search, processing, and storage. Furthermore, enterprises can use Elasticsearch to add analytics, metrics, and monitoring capabilities if they already have logged in this tool. With Elasticsearch, even the most complex data is easy to manage.