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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• Ease of use -- this is not always the easier platform to configure.
• Developer Community -- There are not a whole lot of folks out there that understand this stuff so finding talent is difficult.
• Drupal 8 -- We've been frustrated with slow development on APIs for Drupal 8 integration.

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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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• Cheap -- it's free and open source so we love it!
• Developers Expensive -- It's hard to find talented developers and those that are available are expensive.
• Hardware Requirements -- Solr is not terribly expensive to operate on cloud machines.

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