What is the best alternative to Elastic Cloud?
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While it costs 1000's of dollars per month at other places for a cluster of 3, it runs around $100 @amidb, if you decide it to host it yourself. This is including hosts/bandwidth/transfer and SSD. You will save on other colud nosql databases as cassandra is included. You will also experience savings on cloud file storage costs, and much more.... See More
Instead of deciding to drop support for their older versions and cutting people off with an 'end-of-life', Bonsai offers continued support for clients who are unable or unwilling to switch to the latest version. This, however comes at an increased price. See More
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
Swiftype integrates with all major third party platforms, offering a Shopify App, Magento Extension, and WordPress Plugin, with more to come. Swiftype also provides tutorials for adding Swiftype to Tumblr, Jimdo, Heroku, Weebly, Tumblr, CloudFlare, WebStarts and Desk.com. They also have questions dealing with fixes for WooCommerce, how to add Swiftype to any CMS (such as Drupal or Jekyll) and searching across content types (like WordPress using GoDaddy Shopping Cart) See More
While ElasticSearch and Solr both have active open-source communities propelling the technology forward, CloudSearch is closed. This has multiple disadvantages such as: Constrained by what Amazon allows you to modify/customize. No transparency behind new feature development. Potentially slower development of new features. No way to modify/extend the search algorithms. No existing language specific API to call the Cloudsearch and process the response into objects. 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
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