--- 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: '2026-08-28' parent\_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # Google Cloud BigQuery Reviews & Product Details Claimed ###### Profile Status This profile is currently managed by Google Cloud BigQuery but has limited features. Are you part of the Google Cloud BigQuery team? [Upgrade your plan](https://sell.g2.com) to enhance your branding and engage with visitors to your profile! 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. * * * 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(765) ](https://www.g2.com/products/snowflake/reviews) [ ![Databricks](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Databricks") Databricks 4.6/5(1,361) ](https://www.g2.com/products/databricks/reviews) [ ![Cloudera](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Cloudera") Cloudera 4.2/5(197) ](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? Verified by Google Cloud BigQuery [Show More Integrations](https://www.g2.com/products/google-cloud-bigquery/integrations) ![Samiksha T.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Samiksha T.") ST Samiksha T. Azure data engineer Mid-Market (51-1000 emp.) 8/25/2026 "Fast, Scalable Analytics with BigQuery—But Cost Predictability and IAM Take Time" 3/5 What do you like best about Google Cloud BigQuery? as an azure data engineer, i have used bigquery when working with analytics datasets and cross cloud data workflow, my main use cases are querying large datasets, validating transform data , running analytical SQL and supporting teams that consume data from Google cloud, the bigquery console is clean and makes it easy to write SQL, inspect tables , view query results and check job details, the query editor is easy to use, although understanding all the options around job datasets, permission and cost controls take some time. it works well with other Google cloud services and can also fit into cross cloud workflows. from an azure perspective . it performs well for large analytical queries and removes much of the infrastructure management associate with traditional data warehouse, query design still matters, especially for large tables, because inefficient queries can increase both execution time and cost , the serverless model is convinient because there is no need to manage dedicated warehouse serves. i like its scalability and low infra management overhead. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? the main thing i dont like is that query cost can become difficult to predict when working with large datasets, especially during development and testing i need to pay attention to the amount of data scanned and user partitioning, clustering and optimized queries to control costs, there is also a learning curve around Google cloud IAM , datasets permission and some of the platform specific features when coming from an azure background another minor issues when performance or cost is not as expected, better cost guidance directly withing the query workflow would make it easier to manage, Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? its severless architecture means i dont have to spend time managing servers or manually scaling compute resources, i can focus more on query development data quality, and optimizing the datasets used by analytics teams. working with bigquery has also gived me practical experience with cross cloud data environment and helps me to understand how different cloud platform approach data warehousing , overall it has improved my SQL and data warehouse skills while making large scale analytical workflows easier to manage. i use it for analytical SQL , data validation , reporting datasets, and workloads where scalable cloud based processing is required . Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Reetika P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Reetika P.") RP Reetika P. Quality engineer Mid-Market (51-1000 emp.) 6/14/2026 "Easy-to-Use Cloud Tool with Shareable, Saved Queries" 4/5 What do you like best about Google Cloud BigQuery? It’s easy to use, and it’s available on the cloud, so it doesn’t take up hardware space. The best part is that we have the option to save our queries and share them as well. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? It’s mainly familiar with BigQuery, since its native environment is Google Cloud. Sometimes queries run slowly, especially when working with complex tables. By default, we can only see the first 50 rows, and it really should show more. Also, when we copy the output, we’re only able to copy some of the records instead of the full result set. We can append records, but we can’t update or delete them. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? I use it for my ETL testing, since we ingest data from Mongo into BQ, and then the main fact tables in the analytical layers are used in Databricks. It benefits me because it runs in the cloud and doesn’t require any hardware space on my side. Overall, the queries work well for my testing needs. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![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 ![Dhanush R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dhanush R.") DR Dhanush R. Senior Technical Customer Success Manager Mid-Market (51-1000 emp.) 4/3/2025 "Good Experience Using BigQuery for Data Quality and Reconciliation Workloads" 4/5 What do you like best about Google Cloud BigQuery? BigQuery helped us process and validate large-scale enterprise data much faster during data quality and reconciliation workloads. I regularly used it alongside Spark jobs and analytics pipelines, and its fast query execution reduced the time required for troubleshooting and validation significantly. One thing I liked was that we could scale workloads without worrying much about infrastructure management, which made operations simpler for large data environments. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? One limitation I’ve noticed is that BigQuery is excellent for analytics and large-scale querying, but pipeline orchestration and workflow creation aren’t as straightforward as they are in tools like Azure Data Factory. For certain enterprise data quality and reconciliation use cases, I found that additional tools were still needed to manage end-to-end workflows, integrations, and overall coordination more efficiently. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? BigQuery helped us solve large-scale data processing, validation, and reconciliation challenges across enterprise data pipelines. In Acceldata (the company where I explicitly used BigQuery) environments, it enabled us to run data quality checks, analyze large datasets quickly, and spot pipeline issues sooner. As a result, monitoring improved, troubleshooting time went down, and overall data operations became more efficient. Review collected by and hosted on G2.com. Show More 5/15/2026 Validated ReviewerIncentivizedSource: G2 invite ![Sean T.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sean T.") ST Sean T. Head of Marketing Small-Business (50 or fewer emp.) 4/29/2026 "Advanced Analytics Potential, But Setup Challenges" 3.5/5 What do you like best about Google Cloud BigQuery? I like that we can connect Google Cloud BigQuery to data sources easily - in particular Google sources like GA and Ads. I also appreciate how we can build queries and schedule them, which is super convenient. It’s also great that we can run queries that generate their own data. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? It's quite complicated to set up initially, and Google Cloud in general has a very confusing interface, especially when it comes to user permissions because there are hundreds of different permissions that are quite complex and tricky. Depending on the geolocation of your data, it's sometimes hard to run a query in one location that can't see your dataset in another location, which is quite confusing. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? Google Cloud BigQuery connects well with Google Ads and Analytics, allowing us to do advanced analytics. I appreciate how easily we can connect it to data sources, build queries, schedule them, and generate new data. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Yuvraj S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Yuvraj S.") YS Yuvraj S. Manager Flight Operations Aviation & Aerospace Mid-Market (51-1000 emp.) 6/7/2026 "Robust Analytics, Costly but Worth It" 4/5 What do you like best about Google Cloud BigQuery? I use Google Cloud BigQuery to handle data and records for internal departments, and it supports me with almost near real-time data analytics, which is crucial. I really like how it provides me with dashboards of real-time reports, making it so much easier to interpret data quickly. It's great that BigQuery eliminates the need for servers to scale the data inputs, as Google manages this automatically, which is a massive relief considering the scale of data in the airline industry. Additionally, Google makes the user interface very friendly, making the initial setup a smooth process. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? cost of using this is too high Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? Google Cloud BigQuery supports me with almost near real-time data analytics, simplifies handling massive data records without server management, and provides easy access to data via real-time dashboards. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic ![Rusira S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rusira S.") RS Rusira S. Video Editor | Motion Graphics Small-Business (50 or fewer emp.) 4/25/2026 "Handles Massive Data Smoothly, with AI Features That Feel Like Airtable" 4/5 What do you like best about Google Cloud BigQuery? It allows us to keep millions or tens of millions of data without affecting the performances of our queries and its now improved with AI features that really make a data warehouse feel like an airtable! Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? The interface and the UI is too complex for a starter. When I was starting I could not understand which does what. But its not a tool for beginners. The other thing is performance for small scale projects. If your project is small scale, expect 1min + query times for a single select query with only 100 records. The queries are optimized for larger scale, so you might feel those kind of delays here and there. Its pricing is okay but has a vendor lock in situation when you put more and more data in it. Fortunately we havent gone that far, but I feel like being a place to collect millions or billions of data, going for another provider can of course be a nightmare. If they keep pricing the same that wont be a big issue. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? We had a tracking system that monitored hundreds of clients’ marketing-platform data points across Google Ads, Analytics, FB Ads, TikTok Ads, and similar sources. All of this data was stored in a BigQuery warehouse, and we ran processing algorithms and related workflows directly through BigQuery. It stores all the data without any issues and the performance when accessing some of the data is really very good compared to some of the other alternatives we tried. Also having the access from Google Workspace from anywhere in the world is also a good option. Review collected by and hosted on G2.com. Show More Validated 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 ![Mateo K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mateo K.") MK Mateo K. AI Product Manager Computer Software Small-Business (50 or fewer emp.) 4/10/2026 "Affordable and Fast, could do with Better AI Features" 4/5 What do you like best about Google Cloud BigQuery? I like that Google Cloud BigQuery is free if you're not operating on a big scale, which is great because we use it without paying for it. I'd also say the user experience is pretty decent. Additionally, I think the initial setup was pretty quick. Compared to other services, it was probably the fastest. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? The AI features aren't very good, so I end up using external AI services to write queries. There's also multiple ways of doing the same things and it's not super clear which one's best. Sometimes, I think the UX could be a bit more clear on what the best ways of operating would be. The fact that you have to do a certification or a course to learn how to use the product shows that the product is not as intuitive as it could be. 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 store and transform data for easy reporting in Looker Studio. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Alok K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Alok K.") AK Alok K. Software Engineer Small-Business (50 or fewer emp.) 1/20/2026 "Effortless, Lightning-Fast Analytics with BigQuery’s Serverless Scaling" 4/5 What do you like best about Google Cloud BigQuery? BigQuery's serverless architecture and lightning-fast SQL query performance on massive datasets is exceptional. The seamless integration with Google Cloud Platform tools and automatic scaling makes data analytics effortless without managing infrastructure. Built-in machine learning capabilities and real-time analytics have transformed our data workflows significantly. Review collected by and hosted on G2.com. What do you dislike about Google Cloud BigQuery? The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for better developer experience. Review collected by and hosted on G2.com. What problems is Google Cloud BigQuery solving and how is that benefiting you? BigQuery has solved our massive data processing bottlenecks by enabling real-time analysis of terabytes of data that previously took hours to process. This has accelerated our decision-making process, reduced infrastructure costs by eliminating the need for on-premise data warehouses, and empowered our team to run complex analytical queries without waiting for IT support. The serverless model has transformed how we handle data at scale. Review collected by and hosted on G2.com. Show More Current UserValidated 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 8 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 8 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(765) [ 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(1,361) [ 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) [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 [Everbridge 360 vs Regroup Mass Notification: which emergency management platform is better for coordinating quick detection and response to critical business events?](https://www.g2.com/discussions/everbridge-360-vs-regroup-mass-notification-which-emergency-management-platform-is-better-for-coordinating-quick-detection-and-response-to-critical-business-events)[Which RFP software has the best collaboration workflow for multi-contributor proposals and SME coordination?](https://www.g2.com/discussions/which-rfp-software-has-the-best-collaboration-workflow-for-multi-contributor-proposals-and-sme-coordination)[What are the most trustworthy encryption platforms based on comprehensive user reviews for strong incident response?](https://www.g2.com/discussions/what-are-the-most-trustworthy-encryption-platforms-based-on-comprehensive-user-reviews-for-strong-incident-response) [What backend as a service platforms reduce mobile development time and infrastructure costs the most?](https://www.g2.com/discussions/what-backend-as-a-service-platforms-reduce-mobile-development-time-and-infrastructure-costs-the-most)[Most recommended pricing apps for startups](https://www.g2.com/discussions/most-recommended-pricing-apps-for-startups)[Pros and Cons Details](https://www.g2.com/products/google-cloud-bigquery/reviews?qs=pros-and-cons) [Show MoreShow Less](javascript:void(0);)