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Sphinx Search VS ElasticSearch

Compare Sphinx Search VS ElasticSearch and see what are their differences


Sphinx is an open source full text search server, designed with performance, relevance (search quality), and integration simplicity in mind. Sphinx lets you either batch index and search data stored in files, an SQL database, NoSQL storage.

Elasticsearch is an open source, distributed, RESTful search engine.
Sphinx Search Landing Page
ElasticSearch Landing Page
Sphinx Search base details
Categories
Search Engine Custom Search Engine Full-text Search Document Indexing
Website sphinxsearch.com  
Pricing URL-
Details $-
Platforms
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Release Date-
ElasticSearch base details
Categories
Custom Search Engine Custom Search Search Engine RESTful Search Engine Search API
Website elasticsearch.org  
Pricing URL-
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Platforms
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Category Popularity beta
0-100% (relative to Sphinx Search and ElasticSearch)
63
63%
37%
37
22
22%
78%
78
0
0%
100%
100
100
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0%
0

External Review References
These are some of the sources we've used to compare Sphinx Search and ElasticSearch
Sphinx Search Reviews
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
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.
Source: greenice.net
ElasticSearch Reviews
Any good alternatives to Algolia? Or even a package you can install and use locally?
They are looking for an alternative to Algolia, hosted search, because of price. Hosted ElasticSearch generally costs even more.
Source: www.reddit.com
20+ MongoDB Alternatives You Should Know About
Elastic While not a perfect choice for every MongoDB workload, for workloads where document data is searched and analyzed ElasticSearch can be a great alternative.
Source: www.percona.com
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Elasticsearch is able to index rapidly changing data almost instantly (in less than 1 sec). It is appropriate to use it in projects where a database is constantly updating. For example, in Uber, Elasticsearch aggregates business metrics on dynamic (surge) pricing and supply positioning, in real time. It is able to handle more than 1,000 queries per second at peak time.
Source: greenice.net
Algolia Review – A Hosted Search API Reviewed
Amazon Elasticsearch Service provides a fully managed Elasticsearch service which makes it easy to deploy, operate, and scale Elasticsearch for log analytics, full-text search, application monitoring, and more. Amazon Elasticsearch offers built-in integrations with Kibana, Logstash, and AWS services including Amazon Kinesis Firehose, AWS Lambda, and Amazon CloudWatch so that...
Source: getstream.io
What are some alternatives?
When comparing Sphinx Search and ElasticSearch, you can also consider the following products

ReadTheDocs - Spend your time on writing high quality documentation, not on the tools to make your documentation work.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

GitBook - Modern Publishing, Simply taking your books from ideas to finished, polished books.

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

MkDocs - Senaste Tweets från Tom Christie (@_tomchristie): "Another positive habit: Getting back into the Uke. Have that satisfying calloused feeling again now, like the fingertips on my left hand have been dropped in wax and dried.

Swiftype Site Search - Swiftype Site Search helps to sell more, get the right answer to more people on the platform and surface relevant content for readers and followers.