They now will build on the Apache Lucene capabilities that were collaboratively built "upstream" by a number of individuals, some that work for Amazon and some that work for Elastic.įrom the linked issue, it seemed that they were originally planning to develop this as a proprietary feature of Elasticsearch, without contributing the functionality to Apache Lucene, but then changed direction when the Apache Lucene developers (some of which are currently employed to do such work by Amazon) started to build its approximate nearest neighbor (ANN) vector search capabilities.
to determine what application will be more appropriate for your company. Below you can also verify their characteristics, terms, plans, etc. On the other hand, for user satisfaction, Amazon CloudSearch earned 100, while Apache Lucene earned 100. Solr is a search platform built on top of Lucene which provides a server to. For total quality and performance, Amazon CloudSearch scored 9.9, while Apache Lucene scored 9.6. By using Lucene, we can get a score regarding how similar a query is from a query. Other advantages of Apache Lucene include that it can be used in both commercial and open source projects. It is pretty clear to me that Elastic is planning to build their ANN features differently than OpenDistro's k-NN implementation, or other plugins modules that extend Easticsearch in similar ways. Lucene is a fairly low-level library, so in most cases, Apache Solr is used instead. One of the many advantages of using Apache Lucene for search is that it is highly scalable, which is important when using big data.
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