Solr Vs. Elasticsearch [Closed]

Update

Now that the question scope has been corrected, I might add something in this regard as well:

There are many comparisons between Apache Solr and ElasticSearch available, so I'll reference those I found most useful myself, i.e. covering the most important aspects:

• Bob Yoplait already linked kimchy's answer to ElasticSearch, Sphinx, Lucene, Solr, Xapian. Which fits for which usage?, which summarizes the reasons why he went ahead and created ElasticSearch, which in his opinion provides a much superior distributed model and ease of use in comparison to Solr.

• Ryan Sonnek's Realtime Search: Solr vs Elasticsearch provides an insightful analysis/comparison and explains why he switched from Solr to ElasticSeach, despite being a happy Solr user already - he summarizes this as follows:

  Solr may be the weapon of choice when building standard search applications, but Elasticsearch takes it to the next level with an architecture for creating modern realtime search applications. Percolation is an exciting and innovative feature that singlehandedly blows Solr right out of the water. Elasticsearch is scalable, speedy and a dream to integrate with. Adios Solr, it was nice knowing you. [emphasis mine]

• The Wikipedia article on ElasticSearch quotes a comparison from the reputed German iX magazine, listing advantages and disadvantages, which pretty much summarize what has been said above already:

  Advantages:

  • ElasticSearch is distributed. No separate project required. Replicas are near real-time too, which is called "Push replication".
  • ElasticSearch fully supports the near real-time search of Apache Lucene.
  • Handling multitenancy is not a special configuration, where with Solr a more advanced setup is necessary.
  • ElasticSearch introduces the concept of the Gateway, which makes full backups easier.

  Disadvantages:

  • Only one main developer [not applicable anymore according to the current elasticsearch GitHub organization, besides having a pretty active committer base in the first place]
  • No autowarming feature [not applicable anymore according to the new Index Warmup API]