BigQuery
BigQuery is Google Cloud's data warehouse: SQL analytics over massive datasets, serverless, and billed per query.
BigQuery is Google Cloud's data warehouse. You load data into it and query it using SQL; Google handles servers, scaling, and maintenance. The first terabyte of query volume per month is free.
Typical use cases: combining marketing data from GA4 and Google Ads, merging sales figures from your shop with advertising costs, and feeding dashboards in Looker Studio. Its strength is speed; even with billions of rows, queries remain in the sub-second range.
Snowflake is more flexible if you don't want to be tied to the Google ecosystem; for small data volumes, a regular database like MySQL or Supabase is perfectly sufficient. The downside: Inefficient queries over large tables can cost real money, and migrating out of Google is cumbersome (lock-in).
It's the right choice if your data becomes too large for Excel and traditional databases, and you use Google tools. With just a few thousand rows of sales data, you don't need a data warehouse; at most, you need a well-organized database.
Functions
- No Server Management: Google scales automatically
- 1 TB query volume and 10 GB storage free per month
- Native GA4 export and integration with the Google advertising ecosystem
- Billing based on processed data volume instead of server runtime
- Querying external sources like Sheets and Cloud Storage without import
Core Functions
- Serverless Data Warehouse for petabyte-scale data volumes
- SQL queries across billions of rows in seconds
- Integration with Google Ads, GA4, and Looker Studio
- Machine Learning directly in SQL with BigQuery ML
- Streaming Ingestion for real-time data
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BigQuery
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