Is BigQuery a non relational database?

What type 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 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 Google use non relational databases?

Google Cloud datastore is a highly scalable low latency NoSQL database. It is built on top of Bigtable and Google Megastore. It provides the scalability of a NoSQL database and features of a relational database providing both strong consistency guarantee and high availability.

When should I use BigQuery in SQL?

Use it when you have queries that run more than five seconds in a relational database. The idea of BigQuery is running complex analytical queries, which means there is no point in running queries that are doing simple aggregation or filtering. BigQuery is suitable for “heavy” queries, those that operate using a big set of data.

What is Google BigQuery?

With BigQuery, Google offers a managed relational database with a pay-as-you-go model, only billing you for its service’s actual usage. Furthermore, one additional advantage of BigQuery is that it integrates effortlessly with other GCP products.

What is a non-relational database?

A non-relational database stores data in a non-tabular form, and tends to be more flexible than the traditional, SQL-based, relational database structures. It does not follow the relational model provided by traditional relational database management systems.

Does BigQuery charge for cached queries?

Also, BigQuery is not charging money for cached queries. Note: Even cached queries take 1-1.2 seconds to return results. You can also use BigQuery when you want to reduce the load on your relational database. Analytical queries are “heavy” and overusing them under a relational database can lead to performance issues.