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  1. 12 Νοε 2019 · No matter how well PostgreSQL does on its full-text searches, Elasticsearch is designed to search in enormous texts and documents(or records). And the more size you want to search in, the more Elasticsearch is better than PostgreSQL in performance.

  2. 2 Σεπ 2020 · A comparison of PostgreSQL and Elasticsearch full-text search over 1.5 million key-value pairs containing strings, numbers, and dates.

  3. 29 Απρ 2023 · Leverage the power of Elasticsearch for comprehensive full-text PDF search. Our solution enables you to quickly locate and retrieve specific information from PDF documents, delivering accurate and relevant results in no time.

  4. 19 Ιουλ 2023 · In Part 1, we delved into the capabilities of PostgreSQL's full-text search and explored how advanced search features such as relevancy boosters, typo-tolerance, and faceted search can be implemented. In this part, we'll compare it with Elasticsearch.

  5. 16 Μαΐ 2021 · Two options made sense to try out: PostgreSQL and ElasticSearch. Before diving down into my findings, let’s clarify the distinction between Full-Text Search (FTS) (or “Searching”) and database filters or queries. “Searching” involves starting with nothing and adding results to it.

  6. 17 Απρ 2024 · When it comes to PostgreSQL's Approach to Full-Text Search, the system provides specialized data types tailored for efficient text retrieval (opens new window). The tsvector type optimizes document representation for text searches, while the tsquery type facilitates crafting precise text queries.

  7. 9 Ιαν 2024 · Full-text search queries and performs linguistic searches against documents. It includes single or multiple words or phrases and returns documents that match search condition. ElasticSearch is a search engine based on Apache Lucene , a free and open-source information retrieval software library.

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