By Timo Selvaraj
If you have an old Solr based search that you are trying to migrate or simply trying to evaluate if Elasticsearch can handle what your Solr search does today, this is a step-by-step comparison and guide to see if what you do today can be handled by SearchBlox which embeds Elasticsearch.
SearchBlox ships with the most number of out-of-the-box crawlers to index your data in both unstructured or structured format from websites, feeds, twitter messages, database tables, csv flat files or custom generated content from multiple sources.
Follow the below table to see what you are indexing today and how it can be handled in SearchBlox+Elasticsearch. For most of the custom data imports and search results outputs, SearchBlox provides out-of-the-box crawlers to handle indexing saving you time from writing any custom code or configuration that needs to be updated periodically. SearchBlox comes ready to deploy on windows, linux and mac servers for indexing and search. SearchBlox can be run as a search cluster through the elasticsearch.yml configuration to setup master and data only nodes for distributed indexing and search. Best of all, SearchBlox is completely web based saving you time and enabling your business managers to manage search settings if required.
Please contact us to learn more about migrating your Solr data to Elasticsearch and using the power and simplicity of SearchBlox to improve your search user experience.