clickhousedb_fdw VS tidyquery

Compare clickhousedb_fdw vs tidyquery and see what are their differences.

clickhousedb_fdw

PostgreSQL's Foreign Data Wrapper For ClickHouse (by Percona-Lab)

tidyquery

Query R data frames with SQL (by ianmcook)
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clickhousedb_fdw tidyquery
2 2
197 167
2.5% -
0.0 0.0
over 3 years ago over 1 year ago
C R
GNU General Public License v3.0 or later Apache License 2.0
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.

clickhousedb_fdw

Posts with mentions or reviews of clickhousedb_fdw. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

tidyquery

Posts with mentions or reviews of tidyquery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-02.
  • Can "dplyr" code automatically be converted to SQL code?
    1 project | /r/rstats | 15 Sep 2021
    tidyquery
  • ClickHouse as an alternative to Elasticsearch for log storage and analysis
    13 projects | news.ycombinator.com | 2 Mar 2021
    > SQL is a perfect language for analytics.

    Slightly off topic, but I strongly agree with this statement and wonder why the languages used for a lot of data science work (R, Python) don't have such a strong focus on SQL.

    It might just be my brain, but SQL makes so much logical sense as a query language and, with small variances, is used to directly query so many databases.

    In R, why learn the data.tables (OK, speed) or dplyr paradigms, when SQL can be easily applied directly to dataframes? There are libraries to support this like sqldf[1], tidyquery[2] and duckdf[3] (author). And I'm sure the situation is similar in Python.

    This is not a post against great libraries like data.table and dplyr, which I do use from time to time. It's more of a question about why SQL is not more popular as the query language de jour for data science.

    [1] https://cran.r-project.org/web/packages/sqldf/index.html

    [2] https://github.com/ianmcook/tidyquery

    [3] https://github.com/phillc73/duckdf

What are some alternatives?

When comparing clickhousedb_fdw and tidyquery you can also consider the following projects:

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

duckdf - 🦆 SQL for R dataframes, with ducks

pirsch - Pirsch is a drop-in, server-side, no-cookie, and privacy-focused analytics solution for Go.

meilisearch-js-plugins - The search client to use Meilisearch with InstantSearch.

tidyquant - Bringing financial analysis to the tidyverse

sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.

tidyverse - Easily install and load packages from the tidyverse

ClickHouse - ClickHouse® is a free analytics DBMS for big data

tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.

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

MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow