Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.
Why this server?
Provides access to Elasticsearch indices, allowing users to list indices, inspect field mappings, and execute search queries using full Query DSL capabilities with automatic highlighting.
Why this server?
Enables creation and management of Elasticsearch databases on the Liara cloud platform, including database lifecycle operations, backups, connection management, and credential handling.
Why this server?
Indexes and searches Apple Health data, providing advanced querying, filtering, and aggregation capabilities for efficient health data analytics and trend analysis.
Why this server?
Enables interaction with Elasticsearch 7.x instances, supporting basic operations like ping and info, as well as complete search functionality including aggregation queries, highlighting, sorting, and other advanced search features.
Why this server?
Provides product specification search capabilities through Elasticsearch indexes, allowing for detailed product comparisons based on technical specifications
Why this server?
Provides comprehensive tools for interacting with Elasticsearch clusters, including full CRUD operations for documents and indices, bulk operations, query-based updates/deletes, cluster health monitoring, and advanced search with DSL queries and highlighting.
Why this server?
Connects to the NixOS Elasticsearch API to query package information and system options with field-specific search boosts, multiple channel support, and error handling.
Why this server?
Provides full-featured search, indexing, and document management with Elasticsearch, including smart search with multi-field queries, document CRUD operations with validation, index administration, and schema validation.
Why this server?
Provides specialized analytics tools for querying Elasticsearch clusters, including account/group analytics, visit trends, platform breakdowns, rating distributions, and comprehensive metrics summaries with support for aggregations and time-series analysis.