Antwort What does Apache Solr do? Weitere Antworten – What is the purpose of Apache Solr
ApacheTM Solr is a search server built on top of Apache LuceneTM, an open source, Java-based, information retrieval library. Solr is designed to drive powerful document retrieval or analytical applications involving unstructured data, semi-structured data or a mix of unstructured and structured data.Solr provides advanced near real-time searching capabilities such as fielded search, Boolean queries, phrase queries, fuzzy queries, spell check, wildcards, joins, grouping, auto-complete and many more across different types of data.Apple: The company uses Apache Solr as the search engine for its support site. Netflix: Netflix uses Apache Solr as the search engine for its content catalog. eBay: eBay uses Apache Solr for its search functionality. Cisco: Cisco uses Apache Solr to power the search engine for its online support site.
Is Apache Solr still used : Solr is widely used for enterprise search and analytics use cases and has an active development community and regular releases.
Why use Solr over SQL
SQL supports very simple wildcard-based text search with some simple normalization like matching upper case to lower case. The problem is that these are full table scans. In Solr all searchable words are stored in an "inverse index", which searches orders of magnitude faster.
Should I use Solr or Elasticsearch : Solr has more advantages when it comes to the static data, because of its caches and the ability to use an uninverted reader for faceting and sorting – for example, e-commerce. On the other hand, Elasticsearch is better suited – and much more frequently used – for timeseries data use cases, like log analysis use cases.
Leading companies like Adobe, Netflix, eBay, and AOL are just a few examples of organizations that use Apache Solr for their search functions. It's so popular that it accounts for a 25.91% market share in the enterprise search category.
Solr Search is a better choice if you need a search engine that can handle frequent updates and indexing of new data, while Elastic Search is better suited for real-time search applications. Analytics: Elastic Search offers powerful analytics capabilities, including support for aggregation and visualization.
Why use Solr over Elasticsearch
Solr has more advantages when it comes to the static data, because of its caches and the ability to use an uninverted reader for faceting and sorting – for example, e-commerce. On the other hand, Elasticsearch is better suited – and much more frequently used – for timeseries data use cases, like log analysis use cases.Solr Search is a better choice if you need a search engine that can handle frequent updates and indexing of new data, while Elastic Search is better suited for real-time search applications. Analytics: Elastic Search offers powerful analytics capabilities, including support for aggregation and visualization.Solr Search is a better choice if you need a search engine that can handle frequent updates and indexing of new data, while Elastic Search is better suited for real-time search applications. Analytics: Elastic Search offers powerful analytics capabilities, including support for aggregation and visualization.
Instagram a Facebook company, uses Solr to power it's geo-search API. J. Craig Venter Institute uses Solr for high-performance comparative metagenomics.
How is Solr so fast : In Solr all searchable words are stored in an "inverse index", which searches orders of magnitude faster.