What are the Benefits of Elasticsearch? | Elasticsearch Tutorial

Elasticsearch Benefits

1. Fast

By using distributed inverted indices, Elasticsearch quickly finds the best matches for your full-text searches from even very large data sets.

2. Easy-to-use APIs

Elasticsearch offers simple REST-based APIs, a simple HTTP interface, and uses schema-free JSON documents making it easy to index, search, and query your data.

3. Complimentary Tooling and Plug-ins

Elasticsearch comes integrated with Kibana, a popular visualization and reporting tool. It also offers built-in integration with Logstash to easily transform source data using pre-defined templates and load it data into your index. In addition, you can use a number of open-source Elasticsearch plug-ins such as language analyzers and suggesters to readily add rich functionality to your applications.

4. Near Real-time Index Updates

Elasticsearch index updates such as adding a new document to the index usually take one second or less before the updated data is available for search. This lets you use Elasticsearch for near real-time use cases such as application monitoring and anomaly detection.

5. Support for your Favorite Development Language

A variety of open source clients are available for Elasticsearch developers. Supported languages include Java, Python, PHP, JavaScript, Node.js, Ruby, and many others.

6. An Open-source

7. Build Charts and Dashboards within no time

8. Supports Distributed, Sharding, Replication, Clustering and Multi-Node Architecture

9. Supports both Structured and UN-Structured Data

10. Schema Free