Apache Lucene vs. Inbenta Enterprise Search

Apache Lucene is a perfect text search implementation where the heap space usage needs to be kept to its minimal. It also enables search based on various search fields and most importantly the search and index process can happen simultaneously. The only scenario where it might be less appropriate would be when the index size grows too big. We have witnessed few scalable issues where the search would take a while when the index size is too large.

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If you are looking for an enterprise search platform that offers an easy to use interface and if high performance is not really your priority, then I believe Inbenta Enterprise Search would fit your use case. For most other situations, I would recommend using a tried and tested search platform like Apache Solr.

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• 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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• Fairly easy to use interface.
• Quick to onboard new users, both in terms of access as well as training.
• The NLP-based semantic search feature is quite impressive.

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• User interface for setup and maintenance would be helpful.
• Easier cloud/cluster setup.
• Better, centralized documentation.

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• It is a fairly new tool in the market, so not much market feedback exists for this. This made us apprehensive in using it.
• The documentation and online forums are bare minimum.
• Quite buggy when working with multiple sources.

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The search and index performance of [Apache] Lucene is excellent and the quality of results is good, if not better. For implementing it with small scale applications it is a no brainer, Lucene is the best and most cost effective solution. Learning curve is not too steep either.

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Apache Solr to Inbenta is like Java to Python. Apache Solr is powerful and handles complex search platforms well. Inbenta, on the other hand, is meant to be easy to use and does not lay too much emphasis on performance. If you are a small or medium business, Inbenta may suit your needs better. However, if you wish to manage a large and complex search platform, Solr is the way to go.

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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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• Enabled our developers to quickly deploy changes to the search model.
• NLP-powered semantic search feedback provides good actionable insights.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info