---
title: Google BigQuery Data Transfer Service Reviews
meta_title: 'Google BigQuery Data Transfer Service Reviews 2026: Details, Pricing,
  & Features | G2'
meta_description: Filter 14 reviews by the users' company size, role or industry to
  find out how Google BigQuery Data Transfer Service works for a business like yours.
aggregate_rating:
  rating_value: 4.6
  review_count: 14
  scale: '5'
date_modified: '2026-05-10'
parent_category:
  name: Cloud Data Integration
  url: https://www.g2.com/categories/cloud-data-integration
---

# Google BigQuery Data Transfer Service Reviews
**Vendor:** Google  
**Category:** [Cloud Migration Software](https://www.g2.com/categories/cloud-migration)  
**Average Rating:** 4.6/5.0  
**Total Reviews:** 14
## About Google BigQuery Data Transfer Service
The BigQuery Data Transfer Service automates data movement from SaaS applications to Google BigQuery on a scheduled, managed basis.




## Google BigQuery Data Transfer Service Reviews
  ### 1. Easy and fast way data transfer

**Rating:** 4.0/5.0 stars

**Reviewed by:** Vishal L. | Data Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 17, 2024

**What do you like best about Google BigQuery Data Transfer Service?**

Easy to create and schedule data transfer form cloud bucket to destination  table with  advanced functionality

**What do you dislike about Google BigQuery Data Transfer Service?**

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.

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

If it allows me to edit the destination table and source path, it will reduce my effort, and there will be no need to create a new transfer.

  ### 2. No code Data transfer for enterprise agility

**Rating:** 4.5/5.0 stars

**Reviewed by:** German Javier F. | Senior Data Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** January 05, 2023

**What do you like best about Google BigQuery Data Transfer Service?**

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.

**What do you dislike about Google BigQuery Data Transfer Service?**

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

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

It's automation that gets data from source to sink in a safe and easy way, so you won't need a super complex internal process or highly trained people to automate and maintain your regular data transfer. Anyone can do it!

  ### 3. GCP-AWS data transfer made easy

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.)

**Reviewed Date:** January 17, 2023

**What do you like best about Google BigQuery Data Transfer Service?**

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

**What do you dislike about Google BigQuery Data Transfer Service?**

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.

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

Companies are usually multi-cloud with data sitting in these systems. Sometimes this data needs to be brought to a single platform to perform analysis. BQ data transfer helps in the seamless transfer of data between cloud for example GCP cloud storage and S3

  ### 4. Best DataWarehouse Data Transfer Service

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 21, 2023

**What do you like best about Google BigQuery Data Transfer Service?**

The UI of the interface is quite user friendly. It's very easy to connect various source and destination for data transfer.

**What do you dislike about Google BigQuery Data Transfer Service?**

Used this service over a year now and there are no dislikes at all.

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

We can transfer data to cross platforms as well. Many organisations uses Amazon AWS S3 bucket hende data transfer for this via Google Bigquery is the best.

  ### 5. Enjoyable interface for analytics and interim data transformation work.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Skyler Y. | Software Engineer., Small-Business (50 or fewer emp.)

**Reviewed Date:** May 24, 2022

**What do you like best about Google BigQuery Data Transfer Service?**

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).

**What do you dislike about Google BigQuery Data Transfer Service?**

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.

**Recommendations to others considering Google BigQuery Data Transfer Service:**

If you are coming from a traditional SQL database mindset, understand that BigQuery is NOT a standard database and may include "features" that you have to workaround. For example, if you have a table and a column in that table with the same name, then when importing to BigQuery it will nest the whole table instead of just importing that column in your results.

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

We're using BigQuery as a warehouse for Fivetran. Data is imported and transformed along the way, so we are also using BigQuery to check and test those transforms. when satisfied, we move Data from BigQuery into a PostGRES database using Node.js and an SDK from NPM. From the standpoint of connecting from custom sources like Node, we find that BigQuery is, again, easy to use and work with.

  ### 6. Youtube data extraction with Google BigQuery Data Transfer

**Rating:** 4.5/5.0 stars

**Reviewed by:** Torbjorn Z. | Digital Innovation Manager, Small-Business (50 or fewer emp.)

**Reviewed Date:** May 04, 2022

**What do you like best about Google BigQuery Data Transfer Service?**

Easy to Set up with the Google BigQuery Data Transfer, good options to decide on the frequency of youtube data extraction.

**What do you dislike about Google BigQuery Data Transfer Service?**

I have no dislikes, as I found the service easy to use.

**Recommendations to others considering Google BigQuery Data Transfer Service:**

If you looking to get usage data from your Youtube channel, Google BigQuery Data Transfer is in my opinion the easiest to set up and manage. When set up the data start populating your Yotubue BigQuery dataset, all you need is to start building your youtube reporting.

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

I used Google BigQuery as a Data Warehouse for social media datasets, youtube being one data channel.

  ### 7. Easy to handle

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 13, 2021

**What do you like best about Google BigQuery Data Transfer Service?**

It integrates with all ETL platforms on the market.

**What do you dislike about Google BigQuery Data Transfer Service?**

I've to explore more, nowdays I'm focus on bigquery integration with ETL plataforms.

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

Creating a data lake.

  ### 8. Very fast and very affordable 

**Rating:** 4.5/5.0 stars

**Reviewed by:** Gaurav B. | Senior Software Engineer, Internet, Small-Business (50 or fewer emp.)

**Reviewed Date:** March 29, 2019

**What do you like best about Google BigQuery Data Transfer Service?**

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.

**What do you dislike about Google BigQuery Data Transfer Service?**

Nothing there to dislike its google and does not matter how much data I store never faced scalability problem.

**Recommendations to others considering Google BigQuery Data Transfer Service:**

People setup their own clusters and cache mechanism thinking that other services like this will me much costly but its is not really very affordable.


**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

The best benefit we get is focus on the functionality and business logic and do not worry about any scalability issue and setup our own clusters.

It is saving me a lot of time.

  ### 9. Best for Fast Data Retrival

**Rating:** 5.0/5.0 stars

**Reviewed by:** Mohit K. | Sr. Lead Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** March 12, 2019

**What do you like best about Google BigQuery Data Transfer Service?**

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.


**What do you dislike about Google BigQuery Data Transfer Service?**

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

**Recommendations to others considering Google BigQuery Data Transfer Service:**

I believe Google big Query Data Transfer service is very advanced and reliable technology. I suggest if you're running a big organization this is very fast and real-time data processing Technology

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

We're using Google big Query Data Transfer service for data transfer and in my project, for real-time analytics, we're using this service

  ### 10. System upgradation made simpler

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.)

**Reviewed Date:** July 24, 2019

**What do you like best about Google BigQuery Data Transfer Service?**

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.

**What do you dislike about Google BigQuery Data Transfer Service?**

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.

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

We have 2 legacy system, 2 other databases and one Salesforce . Trying to get the whole order management structure under one roof so that its easier to know the status and track bottlenecks in an effective manager.

  ### 11. Transfer Data From One source to another easily. 

**Rating:** 5.0/5.0 stars

**Reviewed by:** Arsh P. | Senior Software Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** February 20, 2019

**What do you like best about Google BigQuery Data Transfer Service?**

Manage to push data stream from other sources to the cloud to run heavy data analysis task on the dataset. You can automate the task or just use the GUI to push data. No need to worry about data scaling as Google will handle that part for you. 

**What do you dislike about Google BigQuery Data Transfer Service?**

The pricing for somewhat on the expensive side but is worth it since everything is as easy as a click of a button. 

**Recommendations to others considering Google BigQuery Data Transfer Service:**

Powerful analytics warehouse. RUn you data analysis tasks in seconds on a large dataset to give almost real-time analysis to the user.  

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

We wanted to move data source from offline sources to Big query for data analysis at a certain time each day. 

  ### 12. Amazing software

**Rating:** 4.5/5.0 stars

**Reviewed by:** Cassandra W. | Bank of America deposits agent, Banking, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 18, 2018

**What do you like best about Google BigQuery Data Transfer Service?**

Where do I begin with what I love about this software. For starters it is insanely fast, and the fact that it's serverless saves us time and money. Also when we talk about saving money, the pay as you go feature helps emensly. 

**What do you dislike about Google BigQuery Data Transfer Service?**

I really don't think there is anything I can honestly say that I dislike. I really try to be objective, but in this case it just is perfect!!

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

Not having to spend tons on equipment, let alone a team to run a server. Also not having to worry about scalability saves us loads of time and makes our team more productive.

  ### 13. Easy to transfer data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Cynthia M. | Mid-Market (51-1000 emp.)

**Reviewed Date:** October 17, 2018

**What do you like best about Google BigQuery Data Transfer Service?**

This service makes it easy to schedule and automate data transfers from the comfort of my office.

**What do you dislike about Google BigQuery Data Transfer Service?**

As a beginner using this program, it was difficult to understand it at first but after a couple days everything was clear and convenient for me.

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

Using this guarantees that I will meet my deadlines on time and work on my data to get the best results that I can possibly get.

  ### 14. Overall good product

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sarah D. | Account Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** October 17, 2018

**What do you like best about Google BigQuery Data Transfer Service?**

Easy customer interface and good product support. 

**What do you dislike about Google BigQuery Data Transfer Service?**

Difficult to learn but once you do it is a simple software

**What problems is Google BigQuery Data Transfer Service solving and how is that benefiting you?**

Move data


## Google BigQuery Data Transfer Service Discussions
  - [What are some advantages of BigQuery?](https://www.g2.com/discussions/what-are-some-advantages-of-bigquery)
  - [What is Data Transfer Service for?](https://www.g2.com/discussions/what-is-data-transfer-service-for)
  - [What is BigQuery data transfer API?](https://www.g2.com/discussions/what-is-bigquery-data-transfer-api)
  - [How does BigQuery data transfer service work?](https://www.g2.com/discussions/how-does-bigquery-data-transfer-service-work)

- [View Google BigQuery Data Transfer Service pricing details and edition comparison](https://www.g2.com/products/google-bigquery-data-transfer-service/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-16+13%3A56%3A04+-0500&secure%5Bsession_id%5D=839ca585-aa38-4a6b-b51f-ab483177e646&secure%5Btoken%5D=15ce8e12e7eacc395e9be575b24eaa3fb24a48f49e7c2eaa865efbf325ee0d19&format=llm_user)

## Google BigQuery Data Transfer Service Features
**Functionality**
- Data Migration
- Data Variety
- Alerts and Logging
- Data Replication

**Management**
- Backup and Recovery
- Integration Variety
- Access and Security
- Real time Monitoring

**Security**
- Data Protection

**Agentic AI - Cloud Migration**
- Autonomous Task Execution
- Multi-step Planning
- Decision Making

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