Google Cloud BigQuery Reviews

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29 Reviews

- Industry: Computer Software
- Company size: 11–50 Employees
- Used Weekly for 6-12 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Review of BigQuery Query Execution and Use Cases.
Reviewed on 2024/12/24
Free Tier access, query execution on the free tier, connection of Big Query from other market tools...
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.
Pros
It is very help full to store large unstructured data and further etl the data and used for analytics.
Cons
For Beginners it is costly. Overall very fast and reliable.
- Industry: Logistics & Supply Chain
- Company size: 201–500 Employees
- Used Weekly for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Likelihood to recommend 7.0 /10
Great serverless cloud data warehouse
Reviewed on 2022/06/20
We used BigQuery to analyze firebase events data from our mobile apps. Considering the sheer volume...
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.
Pros
I like the serverless nature of BigQuery. It takes away most of the maintenance costs involved in maintaining and fine-tuning a data warehouse.
Cons
I didn't really like the on-demand pricing of BigQuery. Monthly costs tend to blow up excessively. I think they have a different pricing option now to resolve this though.
Alternatives Considered
SnowflakeReasons for Switching to Google Cloud BigQuery
BigQuery has a native integration with Firebase.
- Industry: Food & Beverages
- Company size: 201–500 Employees
- Used Weekly for 1+ year
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Review Source
Overall rating
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
Get started with BigQuery, A powerful tool for analysing Big data
Reviewed on 2022/09/18
Pros
Our salesforce campaigns relies heavily on data warehouse, which is the backbone of everything we do. This data set contains both row data sets and BigQuery is used to aggregate this sets by running schedule queries on it.
Cons
This platform requires strong SQL skills. Huge dependency on tech team to fix queries sometime.
- Industry: Computer Software
- Company size: 2–10 Employees
- Used Daily for 6-12 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Worth a try for datawarehousing loads
Reviewed on 2024/12/23
Pros
Free 1TB compute
User friendly web UI
Amazing web SQL editor
Cons
I can't find anything wrong with biguery
Alternatives Considered
Amazon RedshiftReasons for Switching to Google Cloud BigQuery
Easy onboarding for smaller teams Free compute allowed my team to experiment a lot with BigQuery- Industry: Marketing & Advertising
- Company size: 11–50 Employees
- Used Daily for 2+ years
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
GBQ is an analysts best friend
Reviewed on 2024/09/07
GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own...
GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own custom flows.
Pros
Literally everything. GBQ takes tasks like partitioning, building feeds from/to other systems simple, fine-grain access controls, plugs into Looker like a dream, built in connectors for other Google products (Search console, GA)
Cons
The permission-ing for GBQ can sometimes be vague depending on what the user is needing/wanting to do. Some roles require items that you think would be included in higher access level roles (I'm looking at you BigQuery Job User role).

- Industry: Computer Software
- Company size: 10,000+ Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Good tool
Reviewed on 2023/11/11
I use this tool daily and it meets my expectations, easy to create jobs in the form of scheduled...
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
Pros
importing information from Google Sheets seems like a super advantage to me, as does the ability to execute large queries without affecting performance.
Cons
I have no complaints about the tool so far
- Industry: Information Technology & Services
- Company size: 51–200 Employees
- Used Daily for 1+ year
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 7.0 /10
GBQ is a good Choice
Reviewed on 2025/01/03
Pros
Super fast! Can handle tons of data in seconds. No worries about it slowing down. Works well with other Google stuff
Cons
Pricing is a bit confusing. Not easy to know how much it will cost. Interface could be better
- Industry: Automotive
- Company size: 11–50 Employees
- Used Weekly for 1+ year
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
My review for Google Cloud BigQuery
Reviewed on 2025/01/22
Overall Google Cloud BigQuery is very good for data analysis and getting actionable insights from...
Overall Google Cloud BigQuery is very good for data analysis and getting actionable insights from the raw data.
Pros
The things I liked most about Google Cloud BigQuery are the robust data extraction and columnar data storing.
Cons
The thing I dislike about Google Cloud BigQuery is the longer time taking to handle big data.
- Industry: Music
- Company size: 11–50 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Superb, Scalable Technology
Reviewed on 2023/06/08
I really love BigQuery especially insofar as it fits within a GCP environment. It is incredibly...
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.
Pros
BigQuery is powerful, easy to set up and use, and wonderfully transparent about costs. I also prefer its mechanisms for dataset partitioning over, e.g., Snowflake's.
Cons
The BigQuery UI is not great. Saved queries are messy, and scheduled queries are very difficult to maintain (to the point that they probably should not be used at all).
Alternatives Considered
SnowflakeReasons for Switching to Google Cloud BigQuery
It made more sense within a GCP environment.- Industry: Retail
- Company size: 51–200 Employees
- Used Weekly for 1+ year
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 7.0 /10
Does the job but it's bare bones
Reviewed on 2023/10/10
Pros
It's cheap and very quick to process and query data directly.
Cons
It's bare-bones database, so doesn't come with analytical features or any visualisation or easy to use interface when compared to other solutions.
- Industry: Professional Training & Coaching
- Company size: 11–50 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 10.0 /10
Great serverless tool
Reviewed on 2023/11/30
Pros
I use this tool in my first professionnal experience as Data Engineer and I still use it today. I used BigQuery for Datawarehouse : make data available for everyone (data analyst, developer...).
Today, I use it too for the logs of an ELT pipeline, it's still very simple to use this tool.
Cons
It's necessary to understand how costing works in detail, especially if you have a lot of data.
- Industry: E-Learning
- Company size: 11–50 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Good product that can be made better
Reviewed on 2023/06/15
Pros
Ease of browsing through the data and seeing table structure
Cons
Not able to visualise data in BQ so had to export data or integrate visualisation tools
Reasons for Switching to Google Cloud BigQuery
Ease of use and great old UI- Industry: Religious Institutions
- Company size: 11–50 Employees
- Used Weekly for 1-5 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
A fine Power BI alternative for Workspace organizations
Reviewed on 2024/05/01
Pros
It is pretty straightforward to set up and allows for lots of data inputs. It's data visualization and statistics are amazing and provide useful insight.
Cons
It is a little more limited then it's competitors at some tasks.
- Industry: Renewables & Environment
- Company size: 1,001–5,000 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Google Bigquery
Reviewed on 2023/04/19
Pros
Can store large amount of data, cost effective and fast
Cons
At times takes time to process queries with large amount to data
- Industry: Telecommunications
- Company size: 2–10 Employees
- Used Weekly for 1+ year
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Likelihood to recommend 7.0 /10
BigQuery is Great for Lots of Data
Reviewed on 2023/05/17
Using BigQuery was a learning curve, it's great for analyzing data but not like my favorite...
Using BigQuery was a learning curve, it's great for analyzing data but not like my favorite relational database, Postgres, for everyday tasks.
Pros
BigQuery is great at working with lots of data at a good price, especially when used with other Google Cloud tools
Cons
It can get messy when you're working with many different data sets at once, and changing existing data columns is hard.
- Industry: Logistics & Supply Chain
- Company size: 10,000+ Employees
- Used Daily for 1-5 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Enough storage provided
Reviewed on 2023/08/27
Pros
I like the software because it is easy to use and have a good documentation to get started
Cons
It is expensive to use for smaller businesses
- Industry: Marketing & Advertising
- Company size: 51–200 Employees
- Used Monthly for 1+ year
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Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 9.0 /10
Data warehouse for Analysis
Reviewed on 2023/06/08
Pros
We use Big Query for store the information of every client's CRM, its cheap and scalable
Cons
You will need a programmer to get the integration done properly, but is not too hard
- Industry: Computer Software
- Company size: Self Employed
- Used Daily for 6-12 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
"Google Cloud BigQuery: The Ultimate Solution for Big Data Management and Analysis"
Reviewed on 2023/01/19
My experience using Google Cloud BigQuery has been very good. It is a strong software for data...
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.
Pros
Google Cloud BigQuery is a powerful and user-friendly software for data warehousing and analytics. It can easily handle extremely large datasets, making it perfect for businesses that process and analyze massive amounts of data. The queries are executed quickly, even on large datasets, allowing for efficient data analysis and insights. The user interface is intuitive and easy to navigate, making it accessible for users of all skill levels. It integrates seamlessly with other Google Cloud products, such as Google Analytics and Google Cloud Storage, which allows for a streamlined workflow. The pricing is pay-per-use and the cost is generally lower for larger amounts of data, which makes it cost-effective. Additionally, it offers high performance, flexibility, and strong security features.
Cons
Google Cloud BigQuery is a great tool for data warehousing and analytics. One thing to keep in mind is that it can have a steep learning curve for those who are not familiar with SQL and data warehousing concepts. Additionally, it may not be as customizable as some other data warehousing and analytics tools. But overall, it offers a wide range of functionalities and a user-friendly interface, making it a great option for many use cases. I've found it to be a reliable and efficient tool for processing and analyzing large datasets.
- Industry: Education Management
- Company size: 201–500 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
BigQuery for a Data Engineer
Reviewed on 2022/09/27
for 3 months our mobile applications stopped saving certain data, thanks to its integration with...
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
Pros
For someone like me who works on the complete cycle of the data, it turns out to be a very good tool, since it allows us to do the complete cycle, from the initial step that is to put together a good ETL, clean our data, and be able to present it in a dashboard
Cons
once the table is created it is difficult to edit the columns, so you have to delete it
when you use the data stream, your data is in a cache, and you can't manipulate it until a couple of hours have passed
Alternatives Considered
Amazon RedshiftReasons for Switching to Google Cloud BigQuery
pricing- Industry: Financial Services
- Company size: 501–1,000 Employees
- Used Weekly for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Google Cloud BigQuery is an Ideal Real-time Data Analysis Solution
Reviewed on 2022/08/16
BigQuery is powerful and reliable tool to manage huge data consists of trillion of rows. It is...
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.
Pros
Google Cloud BigQuery is cloud-based data warehouse allows super fast querying data. It simplifies data integration process that is cost effective as well.
Cons
Queries also result in lot of redundant data. It cannot be used to substitute a relational database. In some cases it does not accept special characters. Managing an enterprise data, in case of other than flat tables may not be easy.
- Industry: E-Learning
- Company size: 201–500 Employees
- Used Daily for 1+ year
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Do you like Google Stack? It's good to go with BigQuery
Reviewed on 2022/06/07
An excellent option for keep a consistent tech stack, some limits (no problems) but fast and easy...
An excellent option for keep a consistent tech stack, some limits (no problems) but fast and easy after you built you database and connections.
Pros
If you work with Google Stack in your company, using BigQuery makes sense. It's cloud, it's fast and it's easy to keep and update.
Cons
It's not so easy as some other tools. But in the other hand, it's part of Google Stack and you have easy information to get in the net.
- Industry: Information Services
- Company size: 11–50 Employees
- Used Daily for 1+ year
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
BigQuery data warehousing - Excellent performance at MINIMAL cost
Reviewed on 2022/11/25
Made it possible to "get our feet wet" with data warehousing / dashboards / reporting, without the...
Made it possible to "get our feet wet" with data warehousing / dashboards / reporting, without the $$$ commitment of other tools.
Pros
Seamless integration with our data in G-sheets, Airtable, and other sources. Data visualizations / BI dashboards (using DS) at rock-bottom cost.
Cons
The number and type of data visualizations could be improved. Help system is not extensive (but with Stack Overflow, you'll be fine). The "stickiness" (persistence) and flexibility/customizability of filters needs work.
- Industry: Semiconductors
- Company size: 10,000+ Employees
- Used Daily for 1+ year
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Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 10.0 /10
Has been a revelation for me
Reviewed on 2022/08/14
It takes a good while to learn BigQuery but it is well worth it.
It takes a good while to learn BigQuery but it is well worth it.
Pros
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. The pre-installed datasets are convenient and also cover various topics.
Cons
The interface could be optimized. Currently loading up multiple datasets on the same project and / or opening multiple tabs for queries makes everything really confusing and hard to navigate .
- Industry: Information Technology & Services
- Company size: 1,001–5,000 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Likelihood to recommend 9.0 /10
Covers most of what you need in a data analysis tool
Reviewed on 2022/08/19
Pros
There is a plethora of already available datasets on BigQuery. 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. The program is 100% scale-able and can cover data in any size.
Cons
For some people it might be an issue that BigQuery is better suited to work alongside R and not Python.If you do not opt for a flat rate and end up having a large quantity of data to deal with, BigQuery can get pricey.
- Industry: Marketing & Advertising
- Company size: 51–200 Employees
- Used Weekly for 6-12 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Easy to integrte data from various data sources and visiualize in mulptiple dashboards
Reviewed on 2022/10/03
Easy to integrate with other tools and then aggregated data provide very detailed reports to...
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
Pros
Allow to import data in seconds from third party data sources, even there is an option to create multiple dashboards to visualize & analyses the data for marketing, sales purposes and so on depends on use cases.
Cons
Cost is very high with big data queries and also UI can be more improved specifically navigation and dragging options