Elasticsearch Boilerplates & Starter Kits

Elasticsearch is used for log analytics, full-text search, real-time application monitoring, geospatial data analysis, and business analytics.

Elasticsearch provides real-time search capabilities, easy scalability, distributed architecture, and a powerful REST API compared to other search technologies.

Building a new project with Elasticsearch is relatively easy due to its RESTful API, extensive documentation, and active community support.

Advantages of Elasticsearch include real-time search, scalability, high availability, distributed nature, JSON-based documents, and support for various data types.

Elasticsearch is known for its fast search performance and can handle large volumes of data with low latency, making it ideal for real-time search applications.

Elasticsearch has a moderate learning curve, especially for beginners, but there are plenty of resources available to help developers get started quickly.

Extending an existing project with Elasticsearch is relatively straightforward, thanks to its flexible data model, REST API, and available client libraries.

Big companies such as Netflix, Uber, Shopify, Slack, and Wikimedia Foundation use Elasticsearch for various search and analytics use cases.