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A highly scalable, distributed, open-source search and analytics engine. Built on Apache Lucene, Elasticsearch allows you to store, search, and analyze vast amounts of data quickly and in near real-time.
Elasticsearch is a powerful, open-source search and analytics engine designed for horizontal scalability and reliability. It's the central component of the Elastic Stack, enabling use cases like log analytics, full-text search, security intelligence, and business analytics.
Manual searching and analysis of large, unstructured datasets is slow, complex, and not scalable. Traditional databases often lack the performance needed for real-time search and analytics. Elasticsearch provides a solution for efficiently indexing, searching, and analyzing this data at scale.
Perform fast, sophisticated full-text search across diverse data types.
Distributes data and queries across nodes for scalability and resilience, ensuring high availability.
Interact with the cluster using simple, schema-free JSON over HTTP.
Aggregate data from multiple sources to perform complex analytics and visualizations, often paired with Kibana.
Elasticsearch is versatile and used in a wide range of applications requiring powerful search and analytics capabilities at scale:
Collect, index, and analyze machine logs from various sources for troubleshooting, security analysis, and compliance.
Gain real-time insights into system behavior and quickly identify root causes of issues.
Power e-commerce search functionality, enabling users to find products quickly and accurately with features like faceted search and recommendations.
Improve user experience and increase conversion rates by providing relevant search results.
Monitor application and infrastructure performance by collecting and analyzing metrics data.
Proactively identify performance bottlenecks and ensure application availability.
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