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What kind of database is Google BigQuery?

BigQuery stores data using a columnar storage format that is optimized for analytical queries. BigQuery presents data in tables, rows, and columns and provides full support for database transaction semantics (ACID). BigQuery storage is automatically replicated across multiple locations to provide high availability.


What kind of database is BigQuery?

BigQuery is a business intelligence/OLAP (online analytical processing) system. Bigtable is a NoSQL database service. BigQuery is more of a hybrid; it uses SQL dialects and is based on Google's internal column-based data processing technology, "Dremel.”

Is Google BigQuery a relational database?

You need to understand that BigQuery cannot be used to substitute a relational database, and it is oriented on running analytical queries, not for simple CRUD operations and queries. In this article, I will try to compare using Postgres (my favorite relational database) and BigQuery for real-world use case scenarios.

Is BigQuery a SQL or NoSQL?

To summarise, the primary differences between Bigtable and BigQuery are as follows: Bigtable is a mutable data NoSQL database service that is best suited for OLTP use cases. On the other hand, BigQuery is an immutable SQL data warehouse suitable for OLAP applications like business intelligence and analytics.

Does BigQuery use SQL or MySQL?

Introduction to Google BigQuery Google BigQuery supports ANSI SQL, allowing users to run SQL queries on massive datasets to manage business transactions, perform data analytics, and do a variety of other things.

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