![]() ![]() Head to Head Comparison Between Bigquery vs Cloud SQL (Infographics)Ĭomparison Table between BigQuery vs Cloud SQLīelow are the top differences between Bigquery and Cloud SQL. Support from google is important to make the applications helpful for developers. ![]() Users prefer Cloud SQL as it is interlinked with other google applications and data warehouse is available to manage the data. Also, it is costlier and it depends on the amount of data being stored in the warehouse. Provisioning and maintaining BigQuery needs expertise help and with less documentation and almost no support from Google, it is difficult to work with BigQuery. The support provided by Google for both BigQuery and Cloud SQL is less which makes users to go along with other cloud providers such as AWS and Azure.If Google could provide more documentation for BigQuery, it will be helpful for users. ![]() Community support is good for Cloud SQL where any questions related to SQL queries are resolved faster with good technical support. Community support is not available for BigQuery as the support needed is mostly based on the setup and the applications present in the data warehouse.
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