OpenSearch is an open-source search and analytics suite derived from Elasticsearch. It is designed for scalability and fast, distributed search, making it well-suited for a variety of information retrieval (IR) tasks, including full-text search, log analysis, and data exploration. OpenSearch uses an inverted index for indexing documents, enabling quick searches over large datasets.
OpenSearch supports both structured and unstructured data, allowing users to query and analyze data in real-time. It includes features like full-text search, filtering, and aggregation, which are essential for IR systems. OpenSearch also offers distributed search capabilities, meaning it can be deployed on a cluster of machines to handle very large datasets.
One of the key benefits of OpenSearch is its open-source nature and community-driven development. It allows for easy integration with other tools in the OpenSearch ecosystem, such as OpenSearch Dashboards (for visualization) and various data ingestion pipelines. OpenSearch is commonly used in use cases requiring powerful search and analytics features, like monitoring, security event analysis, and business intelligence.