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Python Connector for Google BigQuery

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About Python Connector for Google BigQuery

PYTHON CONNECTOR FOR GOOGLE BIGQUERY by Devart is a specialized integration tool designed to provide seamless connectivity between Python applications and Google BigQuery, a widely used cloud-based data warehouse.

Python Connector for Google BigQuery Details

Vendor
Devart
Year Launched
1997
Location
3422 Old Capitol Trail, Wilmington, Delaware 19808, US
Deployment
on premise, windows
Training Options
documentation
Countries Served
All Countries
Languages
Python, English
Users
Data Analysts, Data Scientists, Data Engineers
Industries Served
Healthcare, Retail, Finance, Education
Tags
Integration, Python, Google BigQuery

Python Connector for Google BigQuery's In-App Market Place

Does Python Connector for Google BigQuery have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N.A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$), Chf (Chf), Cny (¥), Sek (Kr), Nok (Kr), Dkk (Kr), Sgd (S$), Hkd (Hk$)

Pros & Cons

  • It feels incredibly snappy because it caches data locally instead of fetching everything from the cloud every time.
  • Setting it up on Windows is a breeze since it comes as a ready-to-go wheel package.
  • You don't have to relearn SQL because it handles the full BigQuery dialect exactly as you’d expect.
  • Handling global data is stress-free since it manages weird character encodings and multiple languages without breaking.
  • Using it feels natural for any Python dev because it sticks strictly to the standard DB API rules.
  • It’s a bit of a letdown if you’re on Mac or Linux since it only supports Windows.
  • You’re stuck behind a paywall after the 30-day trial ends, which might not suit hobbyists.
  • Being a third-party tool means you’re relying on Devart to keep up whenever Google updates BigQuery's API.
  • The focus on "Enterprise" features suggests it might be overkill and too pricey for very small, simple projects.
  • It lacks a native "one-click" GUI, so you're strictly limited to coding your interactions in Python.

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