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What is the difference between Cloud SQL and BigQuery?

Generally, Cloud SQL is a relational database which is more intended for transactional purposes while BigQuery on the other hand is analytics data warehouse which is intended for analytics, data visualization, business intelligence and/or machine learning, etc. 23 авг. 2020 г.


What is the difference between BigQuery and SQL?

Google BigQuery is a cloud-based Architecture and provides exceptional performance as it can auto-scale up and down based on the data load and performs data analysis efficiently. On the other hand, SQL Server is based on client-server architecture and has fixed performance throughout unless the user scales it manually.

What is the difference between cloud storage and BigQuery?

BigQuery is an analytical engine. You can store images, videos, logs, files, and etc in GCS(Google Cloud Storage) , but BigQuery can't. Show activity on this post. Google BigQuery belongs to "Big Data as a Service" category of the tech stack, while Google Cloud Storage can be primarily classified under "Cloud Storage".

Is BigQuery a cloud platform?

BigQuery is a fully managed and serverless data warehouse solution available in the Google Cloud Platform that gives anyone the capability to analyze terabytes of data in a matter of seconds.

What is BigQuery in cloud?

BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

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