# BigQuery

## Introduction

Google BigQuery is a cloud-based data warehousing and analytics platform that enables users to analyze and process large datasets using SQL-like queries. It is highly scalable and allows users to store and query massive amounts of data in real time.

Check out our [BigQuery guides](https://docs.stacksync.com/two-way-sync/guides) to get started and sync data to your other systems and databases!

## Things to keep in mind

#### Quotas and Limits

There is a limit of 1,500 table modifications that can be made to a BigQuery table in a day. Table modifications include `DELETE`, `INSERT`, `MERGE`, `TRUNCATE TABLE`, or `UPDATE` statements. If a table reaches this limit, any new modifications made through independent load jobs might fail. However, Stacksync operations are designed to avoid quota limitations so your syncs won't fail.

This is a restriction set by Google, for more details:

{% embed url="<https://cloud.google.com/bigquery/quotas>" %}

#### Views are not supported

As of now, only **tables** can be synced with Stacksync. Views and materialized views cannot be synced, but we are working on it! Stay tuned!