ELASTIC
Tags: devops, opensource, ubuntu, elasticsearch
Published: 2023-12-27 08:46:54

**A. Programming language used to create the tool Elastic is**

Elasticsearch also provides official clients for languages like Python, JavaScript, and others, enabling developers to interact with the system using their preferred programming languages. The multi-language support contributes to Elasticsearch's versatility, making it accessible to a broader range of developers and applications across different ecosystems.

**B. Parent company of that tool is**

Elasticsearch is developed and maintained by Elastic N.V., a company that specializes in open-source solutions for search, analytics, and data visualization. The company Elastic is the parent company of Elasticsearch and offers a suite of products, including Kibana (for data visualization) and Logstash (for log data processing).

**C.Tool overview**

Elastic develops a suite of open-source tools for search, analytics, and data visualization. At its core is Elasticsearch, a powerful distributed search engine built on Java, facilitating real-time search and analysis. Logstash processes log and event data, while Kibana provides a user-friendly interface for visualizing and exploring data stored in Elasticsearch. Together, these tools form the Elastic Stack, enabling users to efficiently manage and derive insights from vast amounts of structured and unstructured data. Elastic's solutions find applications in various domains, from log and security analytics to business intelligence and application performance monitoring.

**Purpose:**

Elasticsearch serves the purpose of a robust, distributed search and analytics engine, designed to handle vast amounts of data with speed and scalability. It allows users to index, search, and analyze structured and unstructured data in real-time, making it invaluable for applications ranging from log and event data analysis to business intelligence. By providing a powerful and flexible search platform, Elasticsearch enables organizations to extract meaningful insights, improve data-driven decision-making, and enhance the efficiency of search operations across diverse data sources. Its versatility and open-source nature contribute to its widespread adoption in various industries for diverse data management and analysis needs.

**Functionality:**

Elastic tools, including Elasticsearch, Logstash, and Kibana, collectively known as the Elastic Stack, offer a comprehensive data management and analysis solution. Elasticsearch provides distributed search and analytics, enabling real-time indexing, searching, and complex querying of large datasets. Logstash facilitates data processing and transformation, while Kibana offers a user-friendly interface for data visualization and exploration. Together, these tools form a versatile ecosystem suitable for diverse applications, such as log analysis, security information and event management (SIEM), business intelligence, and more. The Elastic Stack's flexibility and scalability empower users to efficiently handle, analyze, and derive insights from structured and unstructured data.

**D.Logo of Prometheus**

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/facecxwy9owbt3dqtoey.jpeg)

**E.Open source or paid one**

Elasticsearch and Kibana are open source and available under the Apache 2.0 license, allowing users to freely use, modify, and distribute the software. However, as of version 7.11 of the Elastic Stack, Elasticsearch's default distribution is licensed under the Server Side Public License (SSPL), which includes additional restrictions compared to Apache 2.0. While the core features remain open source, Elastic N.V., the company behind these tools, offers additional features and commercial support through a subscription-based model known as the Elastic Stack subscription. Users can choose between the free and commercial versions based on their needs and support requirements.