Distributed search and analytics engine for real-time data exploration. Full-text search, complex queries, and powerful analytics at scale.
Powerful full-text search with relevance scoring, highlighting, and multi-language support.
Scalable distributed system with automatic sharding, replication, and fault tolerance.
Real-time data analysis with aggregations, metrics, and complex data processing.
Comprehensive REST API for indexing, searching, and cluster management.
Schema-free JSON documents with dynamic mapping and field type detection.
Rich query language supporting complex queries, filters, and aggregations.
Deploy Elasticsearch in seconds with our one-click installer and automated setup.
Automatic SSL certificates included with all plans for secure connections.
Daily automated backups with 30-day retention and one-click restore.
Fast content delivery worldwide with our integrated CDN network.
Enterprise-grade DDoS protection keeps your Elasticsearch instance secure.
Expert technical support available around the clock via live chat and tickets.
Elasticsearch is a distributed, RESTful search and analytics engine created in 2010 by Shay Banon. As the core component of the Elastic Stack, Elasticsearch has become the industry standard for search, logging, and analytics use cases. With over 100 million downloads and adoption by companies like Wikipedia, Netflix, and LinkedIn, Elasticsearch powers some of the world's most demanding search and analytics applications, providing real-time insights across massive datasets.
Document search, knowledge bases, and enterprise content discovery.
Centralized logging, monitoring, and troubleshooting with ELK Stack.
Product search, faceted navigation, and personalized recommendations.
Real-time analytics, dashboards, and data visualization for decision making.