Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison

1

ElasticSearch

Amazon Elasticsearch Service allows for quick and easy setup and operates and scales Elasticsearch in the cloud without the necessity to configure your own servers.

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2

Apache Solr

Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In Elastic, on the other hand, the refreshing is made by segments.

#Custom Search Engine #Custom Search #Search Engine 17 social mentions

3

Sphinx Search

We will not make comparisons like Sphinx vs Solr, or Solr vs Sphinx, or Sphinx vs Elasticsearch as they all are decent competitors, with almost equal performance, scalability, and features. But each of them has specific peculiarities that can be influential for your project. Now, let’s take a look at which option can be better for your business.

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