Apache Lucene vs Apache Solr

• We found Apache Lucene to be extremely performant in querying large amounts of data and retrieving the correct files based on the metadata provided.
• The online community offers great support for the product. Even though it is an open source tool, it is not difficult to find help online for it.
• When we were creating a proof of concept application, we found that the software worked just as well, while being run locally on a resource-limited PC.

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• Speed -- This is a very fast platform.
• Scalability -- We can rapidly grow our environments to meet expanding business needs.
• Flexibility -- We can make Solr bend to our business needs and not the other way around.

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• We had difficulty porting the project to a cluster based environment on the cloud.
• For our particular use case of retrieving documents based on text pattern matching, the program worked efficiently however, we did not find many resources for image pattern recognition based on their metadata.

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• Indexing of data can sometimes be a slog, meaning it can sometimes take a while to get a large collection up and running if you have many fields that need to be indexed.
• ElasticSearch offers better support and flexibility.

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• Being an open source project we did not have to pay any licensing fees for using Apache Lucene. It has greatly improved our search functionality in our web apps.

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• Usage of Solr in the browse webpages (apart from Search) has resulted in customer choosing his/her product within 3 clicks by the using of faceting.
• Speed, relevance and efficiency of search results.
• Using Solr for International Markets comes out of box.

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