--- title: Google Cloud BigQuery Reviews meta\_title: 'Google Cloud BigQuery Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 1224 reviews by the users' company size, role or industry to find out how Google Cloud BigQuery works for a business like yours. aggregate\_rating: rating\_value: 4.5 review\_count: 1224 scale: '5' date\_modified: '2026-08-07' parent\_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # Google Cloud BigQuery Reviews & Product Details Visit Website BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month. * * * Product Website Google Cloud BigQuery Seller [Google](https://www.g2.com/sellers/google) Discussions [Google Cloud BigQuery Community](https://www.g2.com/products/google-cloud-bigquery/discuss) Solution Type All-in-One Overview by Alena Ageeva Show More ## Pricing Pricing provided by BigQuery. ### Free Free ### Standard $0.04 [ View More Pricing Information ](https://www.g2.com/products/google-cloud-bigquery/pricing) ## Top-Rated Alternatives [ ![Snowflake](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Snowflake") Snowflake 4.6/5(764) ](https://www.g2.com/products/snowflake/reviews) [ ![Databricks](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Databricks") Databricks 4.6/5(1,363) ](https://www.g2.com/products/databricks/reviews) [ ![Cloudera](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Cloudera") Cloudera 4.1/5(136) ](https://www.g2.com/products/cloudera/reviews) [ View All Alternatives ](https://www.g2.com/products/google-cloud-bigquery/competitors/alternatives) ## Google Cloud BigQuery Integrations (26) What do users say about integrations? 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AM Aayush M. Data Engineer - L3 Information Technology and Services Mid-Market (51-1000 emp.) 4/16/2026 "Scalable, Secure BigQuery That Connects Seamlessly Across Services" 5/5 What do you like best about Google Cloud BigQuery? Best thing about Bigquery is its scalability and managed service provided by GCP(Google cloud platform), it can connect seamlessly with almost all services available in the market whether it is on premises or cloud based. It is one of the largest Data warehouse which also comes up with Data Lakehouse feasibility. I also like about its security features like policy tags and authorized view. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? I don't think there is anything I don't like, maybe they need to work on estimated cost feature while running any query, sometime it doesn't show the memory associated with that and as its analytical warehouse, so real time update is not possible like transactional database, maybe in future they can add those features as well Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? In current scenario, all our data sinks are stored in Bigquery or external tables linked with Bigquery becasue its so easy todo any analysis on top of Bigquery and also further it seamlessly connect with Looker for detailed analysis. Now days, we also started to leverage their model creation capability on the data stored in Biglake managed table or Bigquery table. Ultimately it really helps to build end to end pipeline without worrying about storage and scalling. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Rakshith N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rakshith N.") RN Rakshith N. Analyst Retail Enterprise (\> 1000 emp.) 4/1/2026 "BigQuery Delivers Fast, Intuitive Analytics with Seamless Integrations" 5/5 What do you like best about Google Cloud BigQuery? UI / UX: The interface is clean and intuitive, especially when writing and testing queries. Features such as query history, saved queries, and inline validation make it easy to iterate quickly. Even with complex queries, the editor feels smooth and responsive, which helps reduce overall development time. Integrations: BigQuery integrates seamlessly with tools like Looker, Data Transfer Service, and other Google Cloud products. This makes it easier to build end-to-end data pipelines without relying heavily on custom integrations. Having a centralized data warehouse that connects effortlessly to reporting tools has also significantly improved data consistency. Performance: Performance is one of BigQuery’s biggest strengths. I can run queries on very large datasets and still get results in seconds. This has drastically reduced turnaround time for analysis and reporting, which supports faster decision-making. Pricing / ROI: The pay-as-you-go pricing model offers good value, especially since I only pay for the queries I run. Combined with the time saved from not managing infrastructure and the ability to get insights faster, it delivers strong ROI. Support / Onboarding: Getting started with BigQuery is relatively straightforward, particularly for users already familiar with SQL. The documentation is solid, and the broader ecosystem makes onboarding easier compared to traditional data warehouses. AI / Intelligence: Built-in capabilities like BigQuery ML, along with integrations with AI tools, add extra value by enabling predictive analytics directly within the platform. This reduces the need to move data into external systems and supports more advanced use cases within the same environment. The resources and documentation are also straightforward and easy to understand. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? One ongoing challenge is cost visibility and control. Because pricing is based on the amount of data processed per query, costs can rise unexpectedly when queries aren’t optimized. This means users need to pay close attention to query design and monitor usage carefully. The UI can also feel somewhat limited for more advanced workflows. It works well for writing queries, but managing complex pipelines or debugging issues may require switching between multiple tools or leaning on external solutions. Another drawback is the limited flexibility when troubleshooting. If jobs fail or data transfers run into problems, the error messages aren’t always very descriptive, which can make debugging more time-consuming than it needs to be. Finally, while onboarding is generally smooth, it can still take time to learn best practices such as partitioning, clustering, and cost optimisation—especially for new users. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? Google Cloud BigQuery addresses the challenge of processing and analyzing large-scale datasets quickly and efficiently, without requiring us to manage any infrastructure. It lets us run complex SQL queries across massive volumes of data in seconds, which greatly cuts down the time needed for reporting and decision-making. From an ease-of-use standpoint, BigQuery’s SQL-based interface is approachable for teams that already know SQL, keeping the learning curve low. Implementation is also straightforward because it’s fully managed, so there’s no need to provision, operate, or maintain servers. BigQuery integrates smoothly with other tools in the Google Cloud ecosystem as well as external BI tools, making data ingestion, transformation, and visualization feel seamless. As a result, our overall workflow is more efficient and the integration effort is reduced. In terms of benefits, it has helped us get faster insights, scale more easily, and process data cost-effectively through its pay-as-you-query model. Its high availability and strong performance also mean that frequent, heavy usage doesn’t compromise reliability. Overall, BigQuery streamlines our data analytics, making it easier to derive actionable insights while reducing operational overhead. Review collected by and hosted on G2.com. Show More 4/5/2026 Current UserValidated ReviewerIncentivizedSource: G2 invite ![Veera Shubhashree P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Veera Shubhashree P.") VP Veera Shubhashree P. 4/10/2026 "Beginner-Friendly, Seamless Integration, Needs Billing Clarity" 4.5/5 What do you like best about Google Cloud BigQuery? I use Google Cloud BigQuery for learning big data concepts and implementing chatbots. I like that all the services and products are in one place, making it easy to use BigQuery for different use cases. I appreciate its ease of access and integration with different tools. Not just BigQuery, but Google Cloud as a whole environment is very beginner-friendly and provides a sandbox at a low cost for learning. Tools like Google CloudSQL, BigQuery, APIs, and Vertex AI are very valuable for learning chatbot implementation. The initial setup of Google Cloud BigQuery was very easy. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? The billing details can be clearer and more easily monitored. The option to pause and resume payments could be designed for easier UX. It would be really helpful to have the option to pause payments on weekends or provide a prompt to pause when not in use for more than 6 hours. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? Google Cloud BigQuery consolidates services and products, simplifying use for various cases. Its ease of access and integration with different tools enhance my learning experiences. It's part of a beginner-friendly environment with a low-cost sandbox ideal for learning chatbot implementation. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![annpurna S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "annpurna S.") AS annpurna S. Marketing Data Ops Lead Computer Software Enterprise (\> 1000 emp.) 1/13/2026 "Effortless Analytics at Scale with BigQuery's Speed and Seamless Integration" 5/5 What do you like best about Google Cloud BigQuery? What I like best about BigQuery is its ability to handle massive datasets with incredible speed, without worrying about infrastructure. Its serverless, fully managed architecture allows me to focus on analysis and deriving insights, and its integration with other Google Cloud tools makes building dashboards and pipelines seamless Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? BigQuery is powerful, but query costs can grow if datasets are very large and queries aren’t optimized. I usually work around this by using partitioned tables and caching results. Also, while it’s great for analytics, very complex data transformations often need additional ETL tools—but that’s manageable with the right approach Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? BigQuery addresses several significant challenges when working with large-scale data. It enables the analysis of data ranging from terabytes to petabytes, all without the need to manage complex infrastructure. Its speed and performance allow for rapid querying of massive datasets, which helps prevent delays in generating reports or extracting insights. As a serverless and fully managed solution, BigQuery eliminates the burden of maintaining servers or optimizing hardware. It also facilitates data consolidation by bringing together various sources, such as Cloud Storage, Sheets, and Salesforce, into a single platform for unified analysis. Additionally, BigQuery supports streaming and near real-time analytics, making it well-suited for dashboards and operational reporting that require up-to-date information. Review collected by and hosted on G2.com. Show More 1/19/2026 Current UserValidated ReviewerIncentivizedSource: G2 invite ![Verified User in Consulting](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Consulting") CC Verified User in Consulting Mid-Market (51-1000 emp.) 4/2/2026 "BigQuery: Confront your large data challenges with ease" 4.5/5 What do you like best about Google Cloud BigQuery? Storing dataHonestly, the absolute best part is how it instantly turbocharges my AppSheet apps. When I had to handle a massive 2-lakh row upload, BigQuery handled it effortlessly. I also love shifting my clunky Apps Script logic into secure BigQuery Stored Procedures. It keeps the heavy data-manipulation lifting on the database side exactly where it belongs. Plus, the built-in recovery tools saved me from a total panic attack when I dropped a table! It just takes all the stress out of managing huge datasets and keeps things running fast. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? If I had to pick what frustrates me, it's definitely the strict schema management. Changing simple things like column data types or the order of columns isn't always as straightforward as it should be. Trying to perfectly match AppSheet's Duration type to BigQuery gave me a real headache at first. I also spent way too much time troubleshooting those annoying date and time formatting errors! It’s incredibly powerful, but sometimes you just want to make quick data tweaks without jumping through hoops. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? It completely solves the performance bottlenecks I used to hit when scaling up my AppSheet apps. By utilizing partitioning and clustering, my dashboards stay incredibly snappy even when dealing with hundreds of thousands of rows. It also fixes major efficiency issues by letting me move clunky Apps Script logic directly into BigQuery Stored Procedures. I no longer have to worry about the frontend freezing up while trying to process heavy data manipulation. Plus, it acts as a massive safety net; knowing I can easily recover an accidentally dropped table gives me incredible peace of mind! Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic SB Sneha B. Software Developer Computer Software Small-Business (50 or fewer emp.) 1/22/2026 "Structured BigQuery Tables Make Large-Scale SQL Analysis Fast and Easy" 4.5/5 What do you like best about Google Cloud BigQuery? Data in BigQuery is stored in structured tables and thus it helps me to analyze the large chunk of data very easily. We can also use standard SQL commands enabling fast, scalable and efficient data analysis. It is much economical as you only need to pay for the service you use. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? BigQuery is good for handling large amount of data but a simple query also might takes a few seconds to run. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? Dealing with my massive data set has become extremely easier for me as it helps me to get insights about my data quickly. Also, I can directly run my machine learning models on BigQuery ML without moving data to some other tools, thus making it the best choice. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite BD Bishal D. Founder and CTO Computer Software Small-Business (50 or fewer emp.) 1/27/2026 "Intuitive, Go-To Platform for Handling Massive Data with Built-In SQL Queries" 5/5 What do you like best about Google Cloud BigQuery? Google Cloud BigQuery is the only platform that comes to my mind when it comes to handling large amount of data. The platform is really intuitive and it comes built-in SQL Query tool, to query my data. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? The platform can be overwhelming for beginners, but once they get familiarised it is really useful Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? Google Cloud BigQuery is making a platform focused to handling of large amount of data, it is really useful to me while handling dataset related to my ML models. The built-in SQL Query tool helps me to query and understand my data easily. BigQuery comes with a serverless architecture that helps me focuses on my data rather then hosting and managing servers. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Krishna Kumar G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Krishna Kumar G.") KG Krishna Kumar G. Senior Vulnerability and Exposure Management Analyst Enterprise (\> 1000 emp.) 4/9/2026 "Versatile Scripting and Smooth BigQuery Integration for Interactive Dashboards" 5/5 What do you like best about Google Cloud BigQuery? It works similarly to other databases, and it also supports scripting in multiple languages such as shell scripts, SQL, and JavaScript. We used it to build interactive vulnerability data dashboards in Google Looker Studio by extracting data from Axonius into BigQuery and then using BigQuery as the data source. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? We’ve scheduled multiple SQL jobs, and when they failed during the daily runs, we wanted to send an email notification. However, we weren’t able to configure the email setup. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? Since we weren’t able to create interactive dashboards in Axonius, we extracted data from Axonius, stored it in BigQuery, and then used it as a data source in Looker Studio to build interactive dashboards. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Thank You page ![Amir A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Amir A.") AA Amir A. Data Scientist Enterprise (\> 1000 emp.) 3/9/2026 "Effortless Data Management with Advanced SQL Capabilities" 4.5/5 What do you like best about Google Cloud BigQuery? I really like Google Cloud BigQuery's interface; it’s very neat and everything looks like it's in one place. I can easily switch between BigQuery, Vertex AI, and other tools I need, making transitions smooth and finding whatever I'm looking for pretty easy. It's very convenient. I also appreciate the advanced SQL features it offers compared to standard SQL. It makes some tasks easier, and I find the estimation of query costs really helpful as it allows me to optimize my queries before running them. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? no negative point Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? I use Google Cloud BigQuery to test and query data sources and create datasets for my training pipelines. It offers more advanced SQL features, allowing easier operations and providing cost estimates for queries, which helps me optimize them before running. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Vallabh P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vallabh P.") VP Vallabh P. Programmer Analyst Enterprise (\> 1000 emp.) 11/11/2025 "Effortless Big Data Analysis with Seamless Google Integration" 4.5/5 What do you like best about Google Cloud BigQuery? I greatly appreciate Google Cloud BigQuery's ability to analyze large datasets without worrying about server size, which simplifies the management of big data. The fast performance of Google Cloud BigQuery saves me from wasting time on slow processing of large datasets, making my work much more efficient. I particularly value its seamless scalability; it scales up and down effortlessly, so I don't have to constantly think about server management. I enjoy how smoothly it integrates with other Google tools, which facilitates the easy movement of data across various platforms and enhances my overall workflow. The ease of setup due to the familiar Google environment is another aspect I find very convenient, making the initial implementation smooth and straightforward. Overall, these features make Google Cloud BigQuery a powerful and user-friendly tool for handling big data efficiently. The customer support is easy to reach, and that increases use frequency. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? Sometimes the UI gets chunky and it's difficult to predict prices. The user interface could be cleaner, and price prediction could be improved. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? I use Google Cloud BigQuery to analyze large data sets efficiently without worrying about server scalability. It saves me time from slow performances and integrates smoothly with other Google tools, facilitating easy data transfer. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 Icon 1/5/2026 Validated ReviewerSource: Organic ## Questions about Google Cloud BigQuery? Ask real users or explore answers from the community Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights. [ Ask about Google Cloud BigQuery ](https://www.g2.com/products/google-cloud-bigquery/discussions/new) GU Guest User • Last activity 7 months ago Is BigQuery part of Google Cloud Platform? 2 Upvotes 2 [ Join the conversation ](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) GU Guest User • Last activity 7 months ago Is Big Query free? 1 Upvote 3 [ Join the conversation ](https://www.g2.com/discussions/is-big-query-free) [ View all Discussions ](https://www.g2.com/products/google-cloud-bigquery/discuss) ## Pricing Options Pricing provided by BigQuery. ### Free Free ### Standard $0.04 ### Enterprise $0.06 [ View More Pricing Information ](https://www.g2.com/products/google-cloud-bigquery/pricing) Google Cloud BigQuery Comparisons ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image") Snowflake 4.6/5(764) [ Compare Now ](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image") Databricks 4.6/5(1,363) [ Compare Now ](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image") Amazon Redshift 4.3/5(404) [ Compare Now ](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery) ##### ##### Google Cloud BigQuery Features Data Transformation Real-Time Analytics Data Querying Connectivity Hadoop Integration Spark Integration Multi-Source Analysis Operations Data Visualization Data Workflow Governed Discovery Data Management Data Integration Built-In Data Analytics [ View More Features ](https://www.g2.com/products/google-cloud-bigquery/features) ##### Categories on G2 [Marketing Analytics](https://www.g2.com/categories/marketing-analytics)[Predictive Analytics](https://www.g2.com/categories/predictive-analytics)[ETL Tools](https://www.g2.com/categories/etl-tools) [Marketing Analytics](https://www.g2.com/categories/marketing-analytics)[Predictive Analytics](https://www.g2.com/categories/predictive-analytics)[ETL Tools](https://www.g2.com/categories/etl-tools)[Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)[Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)[Big Data Analytics](https://www.g2.com/categories/big-data-analytics)[Data Warehouse](https://www.g2.com/categories/data-warehouse)[Data Clean Room](https://www.g2.com/categories/data-clean-room)[Columnar Databases](https://www.g2.com/categories/columnar-databases) [Show MoreShow Less](javascript:void(0);) ##### Explore More [Which Google Workspace utilities enable helpdesk teams to resolve user issues without escalating to senior admins?](https://www.g2.com/discussions/which-google-workspace-utilities-enable-helpdesk-teams-to-resolve-user-issues-without-escalating-to-senior-admins)[Which background check tools have the most accurate criminal and employment records with the fewest discrepancies that need manual follow-up?](https://www.g2.com/discussions/which-background-check-tools-have-the-most-accurate-criminal-and-employment-records-with-the-fewest-discrepancies-that-need-manual-follow-up%20)[Submittable vs Bloomerang CRM: which is the highest rated grant management platform for organizations scaling operations while improving productivity and team satisfaction?](https://www.g2.com/discussions/submittable-vs-bloomerang-crm-which-is-the-highest-rated-grant-management-platform-for-organizations-scaling-operations-while-improving-productivity-and-team-satisfaction) [What are the best library management systems for education teams with limited IT support?](https://www.g2.com/discussions/what-are-the-best-library-management-systems-for-education-teams-with-limited-it-support)[What are the most trusted provider data management platforms by healthcare practitioners based on user reviews?](https://www.g2.com/discussions/what-are-the-most-trusted-provider-data-management-platforms-by-healthcare-practitioners-based-on-user-reviews)[Pros and Cons Details](https://www.g2.com/products/google-cloud-bigquery/reviews?qs=pros-and-cons) [Show MoreShow Less](javascript:void(0);)