OpenSearch

OpenSearch

OpenSearch is an open source search engine software project that is based on Elasticsearch and Apache 2.0 licensed. It provides RESTful search and analytics APIs suitable for building search applications.
OpenSearch image
opensource elasticsearch apache restful analytics

OpenSearch: Open Source Search Engine Software

OpenSearch is an open source search engine software project based on Elasticsearch, Apache 2.0 licensed, providing RESTful search and analytics APIs for building search applications.

What is OpenSearch?

OpenSearch is an open source search engine software project that provides full text search, analytics, and other capabilities. It is based on Elasticsearch and Kibana and is developed under the Apache 2.0 license.

Some key features and capabilities of OpenSearch include:

  • RESTful search API - Enables searching over structured, unstructured, geo, and time series data
  • Analytics and visualizations - Plugins available for aggregations, dashboards, etc. using Kibana
  • Scalability and resilience - Designed to scale horizontally across Nodes and handle failures
  • Plugins - Extend functionality with a variety of plugins for security, alerting, machine learning, etc.
  • Easy to operate - Simple installation, upgrades, operations suitable for developers

Overall, OpenSearch is well suited for building all types of search applications from small scale to large enterprise search systems. Its open source nature provides transparency and customizability not available in proprietary commercial offerings.

OpenSearch Features

Features

  1. Open source
  2. Based on Elasticsearch
  3. Supports full-text search
  4. Provides analytics APIs
  5. Scalable and distributed search engine
  6. Plugin architecture to extend functionality
  7. Works with variety of data stores

Pricing

  • Open Source

Pros

Free and open source

Powerful search capabilities

Horizontally scalable

Easy to deploy

Extensible via plugins

Compatible with Elasticsearch APIs

Active community support

Cons

Steep learning curve

Limited documentation and guides

Not as feature rich as Elasticsearch

Lacks some advanced Elasticsearch features

Not ideal for complex search needs

Less flexible than building custom search with Elasticsearch


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