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Algolia's engine has been built in such a way that you can index and search any language, or even several languages at the same time. The engine is also typo tolerant, and will allow for up to two typos in each words of the search query. This typo tolerance feature is also language agnostic, as it relies on optimized data structures and "fuzzy" tree traversals (implementing a Damarau-Levenshtein distance algorithm) instead of using dictionaries. See More
Elasticsearch gained its popularity amongst developers by being enjoyable to use. A simple feature comparison against it's competition doesn't convey the significant advantages of just how easy it is to work with. This is due to multiple design choices such as the use of JSON for the API and queries. See More
CloudSearch dynamically scales as the amount of searchable data increases or as the query rate changes. The search system utilizes well-understood and automated sharding and replication to scale. CloudSearch will automatically add search instances and index partitions as required as well as add and remove replicas to respond to changes in search request traffic. See More
The primary differentiator of CloudSearch is how simple it makes the lives of the developers using it. Not only does it automatically scale, developers can change search parameters, fine tune search relevance, and apply new settings at any time without having to upload the data again and can do so from a simple dashboard. CloudSearch also automatically takes care of: Hardware provisioning Data partitioning, Software patches. See More
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