BigQuery Cost Estimator

Estimates BigQuery spend based on processed data

What is BigQuery Cost Estimator?

BigQuery Cost Estimator is a Chrome extension that seamlessly integrates into the Google BigQuery Console, providing real-time cost estimates based on the amount of data processed by your queries. It helps you optimize usage and stay within budget.

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Extension stats

By: Vittorio Carmignani

View on Chrome Web Store

Users: 645 ▲ 3

Version: 1.2 (Last updated: 2023-09-27)

Creation date: 2023-08-27

Risk impact: Low risk impact

Risk likelihood: Moderate risk likelihood

Manifest version: 3

Permissions:

scripting

Size: 18.06K

Email: vi*****@gmail.com

URLs: Privacy policy

Ranking

# 37253 ▼ 100

Other rankings

#7462 in Developer Tools ▼ 21 #7 in cost keyword 7 #97 in query keyword 6 ▼ 2 #196 in console keyword 10 ▲ 4 #269 in google keep keyword 49 ▲ 1

Other platforms

Not available on Firefox

Not available on Edge

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Extension summary

Analyze keywords

Effortlessly keep track of your Google BigQuery spending right from the console! The BigQuery Cost Estimator extension seamlessly integrates into the Google BigQuery Console and provides real-time cost estimates based on the amount of data processed by your queries.

Features:

Instant Estimates: No need for manual calculations. As soon as you craft a query, get an immediate cost projection.
Accurate Pricing: Estimates are based on Google's standard BigQuery pricing, ensuring accuracy in the costs displayed.
Intuitive Integration: Works directly within the Google BigQuery Console. No separate app or dashboard.

Usage: Just activate the extension and navigate to the Google BigQuery Console. When creating or analyzing a query, look for the "Estimated Cost" notation next to the data processed details.

Optimize your BigQuery usage, avoid unexpected bills, and ensure your projects stay within budget with the BigQuery Cost Estimator.

Calculation: the calculation uses the 6.25$ per TB indicated in the bigquery on-demand pricing https://cloud.google.com/bigquery/pricing#on_demand_pricing.

Code: