ElasticSearch 7
Elasticsearch 7 is a distributed, scalable, and highly performant Open Source search and analytics engine.
Description
Elasticsearch 7 is a distributed, RESTful search and analytics engine, and scalable data store and vector database. It's designed for speed and relevance on large-scale workloads, forming the base of Elastic's Open Source stack. It enables near real-time search across massive datasets, vector searches, and integration with generative AI applications. Its capabilities support various use cases, including full-text search, log and metric analysis, application performance monitoring, security logging, and more. The project is Open Source and has a large community contributing to its development and maintenance.
Features
Elasticsearch 7 is a distributed, RESTful search engine built for scalability and speed. It offers near real-time search capabilities across vast datasets. Key features include full-text search, structured and unstructured data support, geospatial search, aggregations, and analytics. It uses a schema-less JSON document model, providing flexibility in data handling. It supports various integrations through APIs and plugins. The project is Open Source and is actively maintained and developed by a large and vibrant community.
Benefits
Near real-time search capabilities enable immediate access to critical information. Scalability allows handling massive datasets and growing data volumes. Relevance ensures accurate and pertinent search results. A distributed architecture offers high availability and fault tolerance. RESTful API simplifies integration with various applications and services. Open Source nature facilitates community involvement, customization, and extensibility. Support for vector search and Generative AI integrations provide access to cutting-edge search and data processing technologies.
Links
- Open Source
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- European
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