bigrquery VS BigQuery-Python

Compare bigrquery vs BigQuery-Python and see what are their differences.

bigrquery

An interface to Google's BigQuery from R. (by r-dbi)

BigQuery-Python

Simple Python client for interacting with Google BigQuery. (by tylertreat)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
bigrquery BigQuery-Python
2 1
502 449
0.0% -
8.5 1.8
15 days ago over 2 years ago
R Python
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.

bigrquery

Posts with mentions or reviews of bigrquery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-16.
  • How To Access And Query Your Google BigQuery Data Using Python And R
    3 projects | dev.to | 16 Sep 2021
    In this post, we see how to load Google BigQuery data using Python and R, followed by querying the data to get useful insights. We leverage the Google Cloud BigQuery library for connecting BigQuery Python, and the bigrquery library is used to do the same with R.

BigQuery-Python

Posts with mentions or reviews of BigQuery-Python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-16.
  • How To Access And Query Your Google BigQuery Data Using Python And R
    3 projects | dev.to | 16 Sep 2021
    To query your Google BigQuery data using Python, we need to connect the Python client to our BigQuery instance. We do so using a cloud client library for the Google BigQuery API. You can also choose to use any other third-party option to connect BigQuery with Python; the BigQuery-Python library by tylertreat is also a great option.

What are some alternatives?

When comparing bigrquery and BigQuery-Python you can also consider the following projects:

rudderstack-docs - Documentation repository for RudderStack - the Customer Data Platform for Developers.

ethereum-etl - Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

datavault4dbt - Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Tables.

DBI - A database interface (DBI) definition for communication between R and RDBMSs

bitcoin-etl - ETL scripts for Bitcoin, Litecoin, Dash, Zcash, Doge, Bitcoin Cash. Available in Google BigQuery https://goo.gl/oY5BCQ

rmarkdown - Dynamic Documents for R

bigquery-schema-generator - Generates the BigQuery schema from newline-delimited JSON or CSV data records.

dbplyr - Database (DBI) backend for dplyr

somm_airdrop - Sommelier Finance (SOMM) token distribution for the airdrop proposed in Sips-002

ggplot2 - An implementation of the Grammar of Graphics in R

koral - Postgres data mapping helpers for R