Integrationsedit

  • Grails: Elasticsearch Grails plugin.
  • carrot2: Results clustering with carrot2
  • escargot: Elasticsearch connector for Rails (WIP).
  • Catalyst: Elasticsearch and Catalyst integration.
  • django-elasticsearch: Django Elasticsearch Backend.
  • elasticflume: Flume sink implementation.
  • Terrastore Search: Terrastore integration module with elasticsearch.
  • Wonderdog: Hadoop bulk loader into elasticsearch.
  • Play!Framework: Integrate with Play! Framework Application.
  • ElasticaBundle: Symfony2 Bundle wrapping Elastica.
  • Drupal: Drupal Elasticsearch integration (1.0.0 and later).
  • Drupal: Drupal Elasticsearch integration via Search API (1.0.0 and earlier).
  • couch_es: elasticsearch helper for couchdb based products (apache couchdb, bigcouch & refuge)
  • Jetty: Jetty HTTP Transport
  • Spring Elasticsearch: Spring Factory for Elasticsearch
  • Spring Data Elasticsearch: Spring Data implementation for Elasticsearch
  • Apache Camel Integration: An Apache camel component to integrate elasticsearch
  • elasticsearch-test: Elasticsearch Java annotations for unit testing with JUnit
  • Wp-Elasticsearch: Elasticsearch WordPress Plugin
  • Elasticsearch Indexer: Elasticsearch WordPress Plugin
  • eslogd: Linux daemon that replicates events to a central Elasticsearch server in real-time
  • elasticsearch-clojure-repl: Plugin that embeds nREPL for run-time introspective adventure! Also serves as an nREPL transport.
  • Haystack: Modular search for Django
  • play2-elasticsearch: Elasticsearch module for Play Framework 2.x
  • realtime-search: Elasticsearch module for Vert.x
  • dangle: A set of AngularJS directives that provide common visualizations for elasticsearch based on D3.
  • ember-data-elasticsearch-kit: An ember-data kit for both pushing and querying objects to Elasticsearch cluster
  • elasticsearch-osem: A Java Object Search Engine Mapping (OSEM) for Elasticsearch
  • Twitter Storehaus: Thin asynchronous Scala client for Storehaus.
  • Tiki Wiki CMS Groupware: Tiki has native support for Elasticsearch. This provides faster & better search (facets, etc), along with some Natural Language Processing features (ex.: More like this)
  • Kafka Standalone Consumer: Easily Scaleable & Extendable, Kafka Standalone Consumer that will read the messages from Kafka, processes and index them in ElasticSearch
  • Aspire for Elasticsearch: Aspire, from Search Technologies, is a powerful connector and processing framework designed for unstructured data. It has connectors to internal and external repositories including SharePoint, Documentum, Jive, RDB, file systems, websites and more, and can transform and normalize this data before indexing in Elasticsearch.

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