Google Cloud BigQuery Reviews - Pros & Cons, Ratings & more

Zoho Analytics

Grow

Datadog

Snowflake

Amazon Redshift

Tableau

Microsoft SQL Server

BigQuery is a serverless and multi-cloud data warehouse designed to help users turn big data into valuable business insights. Users can query structured data without the need to store it or load it into their own systems first.

Google Cloud BigQuery

Web-based

Data Analyst

The sandbox supports up to 4 ( I think) projects that you can work on for free. This is great for people who are just starting out and BigQuery is very affordable as a whole.

Director Of Digital Marketing

My overall experience has been wonderful. It's easy to set up and use, and Google even has training for how to use it on Coursera at a pretty cheap price.

There are a great many other softwires available in the Google Cloud that connect directly to BQ, so the whole system is set up to expand its usefulness without needing to buy more software.

Currently loading up multiple datasets on the same project and / or opening multiple tabs for queries makes everything really confusing and hard to navigate.

Once the table is created it is difficult to edit the columns, so you have to delete it.

We have also built a dashboard where we make a conciliation of our clients' data, in case something goes wrong, we immediately realize what is happening.

Most of them won't be related to topics that interest you but are still very useful. The UI is simple,there aren't any unnecessary features that can confuse you when it comes to using BigQuery.

Senior Data Analyst

Sometimes when you make complex SQL queries, the debugging tool does not help a lot finding the problem.

Google Sheets

Microsoft Power BI

Supermetrics

MySQL

Free Tier access, query execution on the free tier, connection of Big Query from other market tools and best of the best we can directly connect with Google Sheet. It is very to use and implement into software using data stream to connect with databases as well.

Review of BigQuery Query Execution and Use Cases.

Worth a try for datawarehousing loads

Overall Google Cloud BigQuery is very good for data analysis and getting actionable insights from the raw data.

My review for Google Cloud BigQuery

Get started with BigQuery, A powerful tool for analysing Big data

We used BigQuery to analyze firebase events data from our mobile apps. Considering the sheer volume of this dataset, querying has been mostly very fast and reliable, albeit at a high cost. 

Great serverless cloud data warehouse

GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own custom flows. 

GBQ is an analysts best friend

GBQ is a good Choice 

I use this tool daily and it meets my expectations, easy to create jobs in the form of scheduled queries, easy import of data from Google Sheets, integration with Google GAS and many other advantages that I have discovered

Good tool

Does the job but it's bare bones

Great serverless tool

A fine Power BI alternative for Workspace organizations

I really love BigQuery especially insofar as it fits within a GCP environment. It is incredibly powerful and, given some governance, not very expensive at all. I find it cheaper and slightly easier to manage than Snowflake, though both products are incredible to use. 

Superb, Scalable Technology

Good product that can be made better

Enough storage provided

Using BigQuery was a learning curve, it's great for analyzing data but not like my favorite relational database, Postgres, for everyday tasks.

BigQuery is Great for Lots of Data

Data warehouse for Analysis 

Google Bigquery

for 3 months our mobile applications stopped saving certain data, thanks to its integration with firebase, we were able to recover that data by querying its partitioned tables, and we were able to restore that data with its integration with python

We have also built a dashboard where we make a conciliation of our clients' data, in case something goes wrong, we immediately realize what is happening

BigQuery for a Data Engineer

My experience using Google Cloud BigQuery has been very good. It is a strong software for data warehousing and analytics, capable of handling large datasets efficiently. Navigation and execution of queries are fast and user-friendly. The pay-per-use pricing model is cost-effective and it offers robust features such as high performance, flexibility, and security. It is an ideal choice for companies that want to extract valuable insights from big data.

"Google Cloud BigQuery: The Ultimate Solution for Big Data Management and Analysis"

BigQuery is powerful and reliable tool to manage huge data consists of trillion of rows.  It is well embedded with GCP which ensure economical solution.  It provides rich infrastructure and instant real-time analysis.

Google Cloud BigQuery is an Ideal Real-time Data Analysis Solution

An excellent option for keep a consistent tech stack, some limits (no problems) but fast and easy after you built you database and connections.

Do you like Google Stack? It's good to go with BigQuery

Made it possible to "get our feet wet" with data warehousing / dashboards / reporting, without the $$$ commitment of other tools.

BigQuery data warehousing - Excellent performance at MINIMAL cost

It takes a  good while to learn BigQuery but it is well worth it.

Has been a revelation for me

Covers most of what you need in a data analysis tool

Easy to integrate with other tools and then aggregated data provide very detailed reports to analyze and also to share with clients for business decisions

Google Cloud BigQuery Reviews (2025)

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Pros and cons

29 reviews