Easy to create and schedule data transfer form cloud bucket to destination table with advanced functionality Review collected by and hosted on G2.com.

It is not allowing me to change/edit the destination table name and source path in an existing transfer. Because of this, I always need to create a new transfer. Review collected by and hosted on G2.com.

Anyone can use it! You also have many data sources available; if you can't find yours, there are more on the GCP marketplace, just a click away.

You also get all the tools to achieve secure data transfer. Review collected by and hosted on G2.com.

Once you transfer, it is very difficult to forecast the price of the data due to the serverless nature of bigquery. You should also be aware of the table formats available in bigquery to avoid transfer errors Review collected by and hosted on G2.com.

We use the service to transfer data from Bigquery which aggregates the Google Analytics data, to AWS S3, the data store layer for our enterprise data platform.

The BQ command line tool makes it easy to set up and helps to make seamless data transfer between Google cloud storage and S3

The performance of data transfer is very good compared to manually downloading the file local and then upload to S3 Review collected by and hosted on G2.com.

There is some manual effort in setting up the authentication using the credential file during the initial setup, but the operation is seamless once it is up and running. Review collected by and hosted on G2.com.

The UI of the interface is quite user friendly. It's very easy to connect various source and destination for data transfer. Review collected by and hosted on G2.com.

Used this service over a year now and there are no dislikes at all. Review collected by and hosted on G2.com.

Bigquery is easy to set up and connect to data sources using Fivetran. Exploring data is intuitive, queries (SQL-like) are easy to learn and familiar. There are some innovative features, like automatically nesting tables (which is very interesting and not typical in a traditional database). Review collected by and hosted on G2.com.

If data sources (from DBT, for example) update, there is no option to reload data in Bigquery without refreshing the whole page, which is heavy and takes a moment to load.

Working in a schema with 18 tables, I quickly have a ton of tabs open, and the interface is not super for navigating so many tabs at the same time, at least not on a laptop screen. Review collected by and hosted on G2.com.

Easy to Set up with the Google BigQuery Data Transfer, good options to decide on the frequency of youtube data extraction. Review collected by and hosted on G2.com.

I have no dislikes, as I found the service easy to use. Review collected by and hosted on G2.com.

It integrates with all ETL platforms on the market. Review collected by and hosted on G2.com.

I've to explore more, nowdays I'm focus on bigquery integration with ETL plataforms. Review collected by and hosted on G2.com.

The response is very fast and all the scalability problems is handled by google itself I do not need to setup caching mechanism and all the clusters to solve scalability problem, we currently have ~10 million rows and still gets the result within 5 sec.

The pricing scheme is very good because of the dynamic allocation. Review collected by and hosted on G2.com.

Nothing there to dislike its google and does not matter how much data I store never faced scalability problem. Review collected by and hosted on G2.com.

Currently, I'm using Google big Query Data Transfer service to transferring raw table data to Google Cloud and I found data transfer service very reliable and easy.

Very easy UI anyone can use it (Data Person I mean). Very good for Application Data Processing. Review collected by and hosted on G2.com.

I found a little bit tricky in term of security validation I mean there are lots of security checks and for a normal person, it's a bit hard to understand what exactly is going on.

But I think security is must for any data application Review collected by and hosted on G2.com.

Data from 2 different systems is backed up everyday and without any issues and this does not create backlog. there are no failures till now and this leads to non disruption of production reports. Review collected by and hosted on G2.com.

It does not support every available database. The other day I was trying to upload a data from a legacy system and it failed. It was after a day I came to know it supports only specific data load. Review collected by and hosted on G2.com.