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Elastic search is built in such a way that the operations done in it result in multiple Hadoop tasks which are based on the number of target shards, and interact in parallel with the Elasticsearch.
It uses Elasticsearch REST interface for communication that lets in flexible deployments.
The library is designed to be small and efficient. The distribution of elasticsearch-hadoop within your cluster is simple and fast.
Elasticsearch can easily detect transport errors and retry them automatically. When any search node dies, it re-routes the request to the nodes that are available.
Solr is java based that provides interfaces for the main features of search like indexing, querying and deleting documents.
Quicker searching uses structured filtering of the results, hence allowing the user to obtain the content they are looking for at a faster pace.
Built on the battle-tested Apache Zookeeper, Solr makes it easy to scale up and down. Solr bakes in replication, distribution, rebalancing and fault tolerance out of the box.
This refers to the abilty of the search window to suggest terms used in the search and auto complete sentences the same as google.