Write it like Riak; Query it Like Solr – Basho
In a land where many open source full-text search solutions exist, it is important to identify what makes Riak Search unique against the competition. One important answer to that question is Riak's Active Anti-Entropy (better known as keeping your search indexes fresh, over time, as data is manipulated in Riak).
Many real world applications offer search functionality against a subset of record attributes by passing them along to a full-text search engine. Meanwhile, the source of truth for those records remains in a database.
As an example, consider an Oracle instance that contains your entire product catalog. Next to that Oracle database may be an instance of Solr that indexes only the titles and descriptions columns of your products table. This setup allows users to search freely against those fields on your site.
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