Elasticsearch

Elasticsearch is a search and analytics engine that allows you to store, search, and analyze large volumes of data.

Elasticsearch uses a distributed architecture to store and index data, which can then be searched using RESTful APIs or through a web interface called Kibana.

While both Elasticsearch and Solr are search engines, Elasticsearch provides more advanced features such as data analytics, visualization, and machine learning capabilities.

Yes, Elasticsearch is open-source software under the Apache 2.0 license.

Elasticsearch can run on a variety of hardware platforms and operating systems, including Linux, Windows, and macOS.

You can index data in Elasticsearch using the Elasticsearch REST API or through Kibana. You'll also need to create an index template and mapping for your data type.

Yes, Elasticsearch can be used in conjunction with Apache Kafka, Logstash, and Beats (Elastic's ELK Stack) to collect and process large volumes of log data.

You can query Elasticsearch using a variety of APIs, including the Elasticsearch REST API, Kibana, and other client libraries like Python, Java, or .NET.

Elasticsearch is commonly used in search-based applications (e.g., e-commerce websites), analytics platforms (e.g., clickstream analysis), logging and monitoring systems (e.g., Apache Kafka, Beats).