# Google Cloud BigQuery Reviews 2026. Verified Reviews, Pros & Cons | Capterra > Is Google Cloud BigQuery the right Data Warehouse solution for you? Explore 35 verified user reviews from people in industries like yours to make a confident choice. Source: https://www.capterra.com/p/268689/Google-Cloud-BigQuery/reviews --- Google Cloud BigQuery 4.6 (35) [View alternatives](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/alternatives/) Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/) * * * Last updated March 13th, 2026 # Reviews of Google Cloud BigQuery Ease of use 4.4 Customer Service 3.9 ## Pros and Cons in Reviews SP Sudhakar P Data EngineerBanking, 5,001 - 10,000 employeesUsed the software for: More than 2 years. “This database is integrated with mainframes using BQConhector tool and easy to load data from mainframe to bigquery“ February 11, 2026 KG Kelley G Data ScientistConstruction, 51 - 200 employeesUsed the software for: 6-12 months. “The pricing can get confusing, especially when queries get heavy.“ December 1, 2025 KG Kelley G Data ScientistConstruction, 51 - 200 employeesUsed the software for: 6-12 months. “There’s a bit of a learning curve and some cost management to watch, but once you get the hang of it, it’s a powerful tool.“ December 1, 2025 Sachin B Data AnalystFood & Beverages, 11 - 50 employeesUsed the software for: I used a free trial. “Cost can grow quickly with frequent queries if not monitored.“ October 21, 2025 Sachin B Data AnalystFood & Beverages, 11 - 50 employeesUsed the software for: I used a free trial. “Easy integration with tools like Data Studio, Looker and AI/ML pipelines.“ October 21, 2025 AB Ankit B Head of ProductE-Learning, 11 - 50 employeesUsed the software for: More than 2 years. “Not able to visualise data in BQ so had to export data or integrate visualisation tools“ June 15, 2023 Andres Ernesto L Developer-Data specialistComputer Software, 10,001+ employeesUsed the software for: More than 2 years. “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“ November 11, 2023 JH John H Lead Analytics EngineerMusic, 11 - 50 employeesUsed the software for: More than 2 years. “Saved queries are messy, and scheduled queries are very difficult to maintain (to the point that they probably should not be used at all).“ June 8, 2023 ## Showing most helpful reviews Showing 1-25 of 35 Reviews Sort by: Most Helpful Rating Company Size Reviewer's Role Length of Use Frequency of Use Sachin B. Data Analyst Food & Beverages Used the software for: I used a free trial ### "Powerful, Scalable, and Insightful Data Analytics Platform" October 21, 2025 4.0 Google Cloud BigQuery provides fast, scalable, and fully-managed data warehousing, making it easy to analyze large datasets without worrying about infrastructure. Its SQL interface and seamless integration with other Google Cloud services simplify data analysis and dashboard creation. Pros Extremely fast query performance on massive datasets. Fully managed—no need to maintain infrastructure. Easy integration with tools like Data Studio, Looker and AI/ML pipelines. Supports standard SQL, making it easy for analysts. Cons Cost can grow quickly with frequent queries if not monitored. Learning curve for complex analytics and optimization techniques. Switched from [Snowflake](https://www.capterra.com/p/148267/Snowflake/) I switched to Google Cloud BigQuery for its fully managed, serverless architecture, which allows fast and cost-efficient querying of large datasets. It also offers seamless integration with other Google Cloud services. Review Source Vaibhav G. Software Developer Computer Software Used the software for: 6-12 months ### "Review of BigQuery Query Execution and Use Cases." December 24, 2024 5.0 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. Switched from [Amazon Redshift](https://www.capterra.com/p/227349/Amazon-Redshift/) Fast Synchronization and Data Stream From Google Cloud SQL Review Source RC Ryan C. Analytics Manager Real Estate Used the software for: 2+ years ### "Money grab for the most part" November 3, 2025 3.0 Pros Decent tool to query unsampled GA4 data, but wouldn't need to use it as much if GA provided unsampled data to begin with. Cons Seems to autosave queries these days which isn't a feature I would like to have turned on automatically since I can't review past code. Also cost is high... very high Review Source SP Sudhakar P. Data Engineer Banking Used the software for: 2+ years ### "Big query for modernization " February 11, 2026 4.0 It is good tool especially dealing with mainframe data types such as comp and comp 3. The orc file format handling is awesome Pros This database is integrated with mainframes using BQConhector tool and easy to load data from mainframe to bigquery Cons Some times data gets lost while upgrading the database. And not all customers get all the special features. Review Source PC Pratik C. Data Engineer Computer Software Used the software for: 6-12 months ### "Worth a try for datawarehousing loads" December 23, 2024 5.0 Pros Free 1TB compute User friendly web UI Amazing web SQL editor Cons I can't find anything wrong with biguery Alternatives considered [Amazon Redshift](https://www.capterra.com/p/227349/Amazon-Redshift/) Reason for choosing Google Cloud BigQuery Easy onboarding for smaller teams Free compute allowed my team to experiment a lot with BigQuery Review Source VR Verified Reviewer Data Analytics Manager Logistics and Supply Chain Used the software for: 2+ years ### "Great serverless cloud data warehouse" June 20, 2022 4.0 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 [Databricks](https://www.capterra.com/p/148499/Databricks/)[Presto](https://www.capterra.com/p/206764/Presto/)[Snowflake](https://www.capterra.com/p/148267/Snowflake/) Reason for choosing Google Cloud BigQuery BigQuery has a native integration with Firebase. Review Source KG Kelley G. Data Scientist Construction Used the software for: 6-12 months ### "Fast and Powerful, But Watch the Costs" December 1, 2025 4.0 Overall it’s been very solid. It handles large data with no issues, performs well, and integrates nicely with dashboards and pipelines. There’s a bit of a learning curve and some cost management to watch, but once you get the hang of it, it’s a powerful tool. Pros The speed and scale are the biggest advantages. Queries run fast even on huge datasets, and it’s easy to connect to other Google Cloud tools. The interface is straightforward, and managing tables or running SQL feels smooth. Cons The pricing can get confusing, especially when queries get heavy. It’s easy to run up costs if you’re not careful. Some features also feel hidden behind menus or require extra setup steps. Review Source Jim C. Lead application support analyst Information Technology and Services Used the software for: 2+ years ### "BQ experience from point of view of GCP tech support lead" October 29, 2025 4.0 I was a GCP technical support team lead for 3 years, so BQ was a very important tool with high usage, customers created lots of tickets for it. Pros I can easily do the BQ query and load in UI, when I wanted to debug, I can easily batch load using CSV or connect to streaming connector, then query like normal SQL. Cons The physical storage, unlike traditional RDBMS, I can easily understand the physical design, the BQ internally stored in a platform named colossus, it's like a blackbox for engineer. Review Source AT Alex T. User Acquisition Analyst Computer Games Used the software for: 2+ years ### "Our datawarehouse" January 5, 2026 5.0 We integrate BigQuery with all our data analysis software to store all the raw data from all our products. Which we can then analyze as well as make custom dashboards with external tools like PowerBI. Pros It stores all our data. It is very easy to access and use SQL to query the data and great to integrate with PowerBI for custom dashboards. Cons I don't have anything negative to say about BigQuery. It delivers what it promises and is easy enough to use. Review Source Andres Ernesto L. Developer-Data specialist Computer Software Used the software for: 2+ years ### "Good tool" November 11, 2023 5.0 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 Review Source PG Parth G. Data Analyst Information Technology and Services Used the software for: 2+ years ### "Covers most of what you need in a data analysis tool" August 19, 2022 5.0 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. Review Source CB Christie B. Communications Religious Institutions Used the software for: Less than 6 months ### "A fine Power BI alternative for Workspace organizations" May 1, 2024 5.0 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. Review Source BH Bryan H. Director of Technical Operations Marketing and Advertising Used the software for: 2+ years ### "GBQ is an analysts best friend" September 7, 2024 5.0 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). Review Source EG Erika G. Data Analyst Information Technology and Services Used the software for: 1-2 years ### "GBQ is a good Choice " January 3, 2025 4.0 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 Review Source PK Pranav K. Data Analyst Automotive Used the software for: 1-2 years ### "My review for Google Cloud BigQuery" January 22, 2025 5.0 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. Review Source LM Luis M. Data Analyst Education Management Used the software for: 2+ years ### "BigQuery for a Data Engineer" September 27, 2022 5.0 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 Redshift](https://www.capterra.com/p/227349/Amazon-Redshift/) Reason for choosing Google Cloud BigQuery pricing Review Source JH John H. Lead Analytics Engineer Music Used the software for: 2+ years ### "Superb, Scalable Technology" June 8, 2023 5.0 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 [Snowflake](https://www.capterra.com/p/148267/Snowflake/) Reason for choosing Google Cloud BigQuery It made more sense within a GCP environment. Review Source RP Rishikumar P. Student Computer Software Used the software for: 6-12 months ### ""Google Cloud BigQuery: The Ultimate Solution for Big Data Management and Analysis"" January 19, 2023 5.0 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. Review Source MF Muhammad F. Chief Internal Auditor Financial Services Used the software for: 2+ years ### "Google Cloud BigQuery is an Ideal Real-time Data Analysis Solution" August 16, 2022 4.0 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. Review Source AB Ankit B. Head of Product E-Learning Used the software for: 2+ years ### "Good product that can be made better" June 15, 2023 5.0 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 Alternatives considered [Microsoft SQL Server](https://www.capterra.com/p/1417/SQL-Server/)[Tableau](https://www.capterra.com/p/208764/Tableau/) Reason for choosing Google Cloud BigQuery Ease of use and great old UI Review Source VR Verified Reviewer Sales Strategy and Operations E-Learning Used the software for: 1-2 years ### "Do you like Google Stack? It's good to go with BigQuery" June 7, 2022 5.0 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. Reason for choosing Google Cloud BigQuery Stay with the Google Stack. Can use tools like Google Data Studio and other free Google Tools together. Review Source NC Naushad C. Data Analyst Renewables & Environment Used the software for: 2+ years ### "Google Bigquery" April 19, 2023 5.0 Pros Can store large amount of data, cost effective and fast Cons At times takes time to process queries with large amount to data Review Source VR Verified Reviewer CTO Retail Used the software for: 1-2 years ### "Does the job but it's bare bones" October 10, 2023 5.0 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. Alternatives considered [Amazon Redshift](https://www.capterra.com/p/227349/Amazon-Redshift/)[Snowflake](https://www.capterra.com/p/148267/Snowflake/) Review Source DK Dan K. Director of Information Systems Information Services Used the software for: 1-2 years ### "BigQuery data warehousing - Excellent performance at MINIMAL cost" November 25, 2022 5.0 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. Review Source DB Dainah B. Data Engineer Professional Training & Coaching Used the software for: 2+ years ### "Great serverless tool" November 30, 2023 4.0 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. Review Source Similar Products Featured