pg-tsquery VS postgres-elasticsearch-fd

Compare pg-tsquery vs postgres-elasticsearch-fd and see what are their differences.

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pg-tsquery postgres-elasticsearch-fd
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pg-tsquery

Posts with mentions or reviews of pg-tsquery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-14.

postgres-elasticsearch-fd

Posts with mentions or reviews of postgres-elasticsearch-fd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-19.
  • Full-text search engine with PostgreSQL (part 2): Postgres vs. Elasticsearch
    3 projects | news.ycombinator.com | 19 Jul 2023
  • Postgres Full Text Search vs. the Rest
    21 projects | news.ycombinator.com | 14 Oct 2022
    My experience with Postgres FTS (did a comparison with Elastic a couple years back), is that filtering works fine and is speedy enough, but ranking crumbles when the resulting set is large.

    If you have a large-ish data set with lots of similar data (4M addresses and location names was the test case), Postgres FTS just doesn't perform.

    There is no index that helps scoring results. You would have to install an extension like RUM index (https://github.com/postgrespro/rum) to improve this, which may or may not be an option (often not if you use managed databases).

    If you want a best of both worlds, one could investigate this extensions (again, often not an option for managed databases): https://github.com/matthewfranglen/postgres-elasticsearch-fd...

    Either way, writing something that indexes your postgres database into elastic/opensearch is a one time investment that usually pays off in the long run.

  • Lesser Known PostgreSQL Features
    7 projects | news.ycombinator.com | 9 Nov 2021
    I used a foreign data wrapper to query elasticsearch indexes from within postgres.[0]

    It pushed alot of complexity down away from higher-level app developers not familiar with ES patterns.

    [0]: https://github.com/matthewfranglen/postgres-elasticsearch-fd...

What are some alternatives?

When comparing pg-tsquery and postgres-elasticsearch-fd you can also consider the following projects:

postgres-elasticsearch-fdw - Postgres to Elastic Search Foreign Data Wrapper

zombodb - Making Postgres and Elasticsearch work together like it's 2023

ksuid - K-Sortable Globally Unique IDs

tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust

Searchkick - Intelligent search made easy

tbls - tbls is a CI-Friendly tool for document a database, written in Go.

pg-ulid - ULID Functions for PostgreSQL

Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

js-id - ID generation for JavaScript & TypeScript Applications

PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

quickwit - Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.