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What is the difference between bigquery and bigquery data transfer service?


Asked by Ace Dorsey on Dec 04, 2021 FAQ



Like BigQuery, the BigQuery Data Transfer Service is a multi-regional resource. A BigQuery dataset's locality is specified when you create a destination dataset to store the data transferred by the BigQuery Data Transfer Service. When you set up a transfer, the transfer configuration itself is set to the same location as the destination dataset.
In this manner,
The BigQuery Data Transfer Service (DTS) is a fully managed service to ingest data from Google SaaS apps such as Google Ads, external cloud storage providers such as Amazon S3 and transferring data from data warehouse technologies such as Teradata and Amazon Redshift. DTS automates data movement into BigQuery on a scheduled and managed basis.
Additionally, BigQuery Data Transfer Service does not guarantee all files will be transferred or transferred only once if Cloud Storage files are touched while in mid-transfer. If your dataset's location is set to a value other than US, the regional or multi-regional Cloud Storage bucket must be in the same region as the dataset.
In addition,
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.”
Moreover,
If your dataset's location is set to a value other than US, the regional or multi-regional Cloud Storage bucket must be in the same region as the dataset. BigQuery does not guarantee data consistency for external data sources.