However, the potential impact of making a single database server handle data from multiple users can increase significantly. This provides the capability for very complex queries, no matter how large a data set is. In other words, it's designed to deal with data that has a constantly varying size. One key difference between Elasticsearch and other search engines is that Elasticsearch can store and manage distributed data. In this way, Elasticsearch is similar to other search engines.
For many companies, text-based search has become an essential component of their business processes. It's widely used in a number of commercial applications, from Reddit, to YouTube to eBay.
The history of and an introduction to ElasticsearchĪn integral aspect of a larger set of open-source tools known as the Elastic Stack, Elasticsearch is a popular full-text search engine, originally designed and developed by engineers at the Google Brain Team. The data stored in Elasticsearch is in the form of schema-less JSON documents similar to NoSQL databases. It is a GitHub open source, RESTful search engine built on top of Apache Lucene and released under the terms of the Apache License.Įlasticsearch is Java-based, thus available for many platforms that can search and index document files in diverse formats. Spark Elasticsearch is a NoSQL, distributed database that stores, retrieves, and manages document-oriented and semi-structured data.
ESSAYER GRATUITEMENT DATABRICKS What is Spark Elasticsearch?