postgres-elasticsearch-fdw VS tbls

Compare postgres-elasticsearch-fdw vs tbls and see what are their differences.

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postgres-elasticsearch-fdw tbls
3 6
106 3,068
- -
4.2 8.8
29 days ago 10 days ago
Python Go
MIT License MIT License
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

postgres-elasticsearch-fdw

Posts with mentions or reviews of postgres-elasticsearch-fdw. 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...

tbls

Posts with mentions or reviews of tbls. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-26.

What are some alternatives?

When comparing postgres-elasticsearch-fdw and tbls you can also consider the following projects:

rum - RUM access method - inverted index with additional information in posting lists

dbmate - :rocket: A lightweight, framework-agnostic database migration tool.

pg-ulid - ULID Functions for PostgreSQL

ksuid - K-Sortable Globally Unique IDs

pgvector - Open-source vector similarity search for Postgres

prisma-client-go - Prisma Client Go is an auto-generated and fully type-safe database client

postgres-elasticsearch-fd

js-id - ID generation for JavaScript & TypeScript Applications

plantuml-syntax - vim syntax file for plantuml

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

mermaid - Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown