# Google Cloud BigQuery Software Pricing, Alternatives & More 2026 | Capterra > With the help of Capterra, learn about Google Cloud BigQuery Software - reviews, pricing plans, popular comparisons to other Data Warehouse products and more. Source: https://www.capterra.com/p/268689/Google-Cloud-BigQuery --- # Google Cloud BigQuery Software Review 2026: Features, Integrations, Pros & Cons Last updated on March 13, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews) Google Cloud BigQuery ## What is Google Cloud BigQuery? BigQuery is a serverless, multi-cloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in BI, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. ## What is Google Cloud BigQuery used for? [Data Warehouse](https://www.capterra.com/data-warehouse-software/)[Data Analysis](https://www.capterra.com/data-analysis-software/)[Big Data](https://www.capterra.com/big-data-software/) Top alternative Featured Overall rating Based on 36 user reviews Reviews sentiment Positive 94% Neutral 6% Negative 0% Starting price $5 Usage Based, Per Month Free trial available Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for Google Cloud BigQuery?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=https://www.google.com/webhp&name=Google Cloud BigQuery) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### Google Cloud BigQuery 4.6 (36) VS. [4.5 (26)](https://www.capterra.com/p/162524/DataTap/reviews/) Starting Price $5 Flat Rate, Per Month Starting Price Contact vendor Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.4 (36) Ease Of Use 4.0 (97) Value For Money 4.2 (28) Value For Money 4.2 (70) Customer Service 3.9 (28) Customer Service 4.5 (69) ## Google Cloud BigQuery alternatives [Snowflake](https://www.capterra.com/p/148267/Snowflake/) [4.7 (97)](https://www.capterra.com/p/148267/Snowflake/reviews/) Starting price $23.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 97% of reviewers rated it above 4 stars Highest Rated [Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [4.7 (2,302)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars [Domo](https://www.capterra.com/p/119119/Domo/) [4.3 (331)](https://www.capterra.com/p/119119/Domo/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 85% of reviewers rated it above 4 stars [Oracle Database](https://www.capterra.com/p/5938/Oracle-Database/) [4.6 (473)](https://www.capterra.com/p/5938/Oracle-Database/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 94% of reviewers rated it above 4 stars [View all alternatives](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/alternatives/) ## FAQs about Google Cloud BigQuery Overview ### Which roles and teams benefit most from Google Cloud BigQuery? Google Cloud BigQuery is most used by data analysts, data engineers, and analytics leaders who need fast querying, centralized reporting, and scalable data pipelines. Marketing teams use it to analyze campaign performance and customer trends, while technical and executive leaders rely on dashboards, operational insights, and audit-ready reporting for decision-making. Answer based on 35 reviews Overview ### What company size and industries is Google Cloud BigQuery built for? Google Cloud BigQuery is built primarily for small businesses, which make up 60% of reviewers, while also serving enterprises at 26% and midsize businesses at 14%. Its strongest industry fit spans Computer Software, Marketing and Advertising, and Information Technology and Services, each representing 11% of reviewers. Answer based on 35 reviews Talk to an expert ### More questions? Ask our experts Features and Usability ### What are the key features of Google Cloud BigQuery? Google Cloud BigQuery offers data warehousing, ad hoc query, batch processing, and real-time analytics for large-scale data analysis. It also includes ETL, data integration, and data transformation features, plus AI/Machine Learning, predictive analytics, and time series analysis. Access Controls/Permissions, role-based permissions, and single sign on support data governance. Integrations ### Which third-party tools and platforms does Google Cloud BigQuery integrate with? Google Cloud BigQuery integrates with Google Data Studio, Google Analytics 360, Looker, Firebase, Tableau, Qlik Sense, Google Cloud Storage, and Pipedrive. Reviewer mentions center on analytics and visualization, while official catalog listings also show connections with Google Ads, Google Campaign Manager 360, Vertex AI, and Google Cloud Bigtable. Answer based on 21 reviews Getting Started and Support ### What training and onboarding options does Google Cloud BigQuery offer? Google Cloud BigQuery provides documentation and videos to help teams get started. Documentation offers written reference material for setup and feature guidance, while videos support visual, self-paced learning for common tasks and product workflows. Answer based on 5 reviews Getting Started and Support ### What customer support options does Google Cloud BigQuery offer? Google Cloud BigQuery provides Email/Help Desk, FAQ/Forum, Knowledge Base, Phone Support, and Chat. Users commonly raise many support tickets for BigQuery, which suggests support is actively used, though the limited feedback available does not provide clear detail on response times or overall helpfulness. Answer based on 1 reviews Features and Usability ### How good is the Google Cloud BigQuery interface? Google Cloud BigQuery offers a clean SQL-based interface that works well for querying data and managing tables. Data teams and analysts often find navigation straightforward and fast, especially inside Google Cloud, though some users find multi-dataset workflows, saved queries, and built-in visualization options limited or harder to manage. Answer based on 10 reviews Features and Usability ### Is Google Cloud BigQuery easy to use? Google Cloud BigQuery works well for teams comfortable with SQL, but it can feel difficult for beginners. Analysts and technical users often find setup, querying, and Google Cloud integrations fairly straightforward, while less experienced users mention a steeper learning curve, tricky pricing, limited debugging help, and awkward scheduled query management. Answer based on 10 reviews ## Features Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically. Data Connectors 4.5 (22) 95.45% of 22 reviewers that rated this feature as important or highly important Connect to big data sources Data Visualization 3.9 (16) 62.50% of 16 reviewers that rated this feature as important or highly important Graphical representation of data Multiple Data Sources 4.7 (12) 83.33% of 12 reviewers that rated this feature as important or highly important Allows users to manage data from a number of sources Access Controls/Permissions 4.7 (10) 100.00% of 10 reviewers that rated this feature as important or highly important Define levels of authorization for access to specific files or systems Data Import/Export 4.7 (10) 80.00% of 10 reviewers that rated this feature as important or highly important Import and export data to and from software applications Dashboard Creation 4.5 (8) 50.00% of 8 reviewers that rated this feature as important or highly important Creation and customization of dashboards Google Cloud BigQuery 56 features Define levels of authorization for access to specific files or systems One-off queries made on an as-needed basis Generate one-off reports that meet information requirements Software program that continuously adjusts its behavior based on observed data Automatically capture data from documents, records, or other online sources Software's ability to perform similar action on multiple similar files simultaneously Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc. Provides a channel for team members to share AI models, media files, communicate, and work together Configure existing workflows to meet your organization's needs Identify component attributes like servers, hardware, software, and manage relationships across all services Pre-designed layouts that can be customized to match preferences and requirements Creation and customization of dashboards Assemble data from multiple sources Grouping log entries based on similar attributes. Removes data that is incomplete, inaccurate, or irrelevant from a dataset Clustering or grouping objects based on data similarities Connect to big data sources Discover and connect variety of data sources to the application for analysis Import and export data to and from software applications Combining data from different sources and providing a unified view Ability to handle large datasets Move from one database to another, or upgrade the version of database software being used AI method of discovering or extracting data patterns from larger volumes of data Translate EDI formats into data suitable for use with company applications. Graphical representation of data Central repositories of integrated data from various sources Supports common databases such as MySQL and Oracle Tools that provide relevant information at specific times to support judgments and courses of action Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. Forecast customer demand using historical insights and simulations Process of extracting and moving data from multiple sources to a single and unified database Used for educational purposes Software designed for the healthcare industry For Retail Stores Form predictions based on past and present data/trends Process and analyze large volume of data Blending and analysis of large data sets without moving data out of a database. Share, track, and store machine learning models and data. Process of testing an ML algorithm by feeding it training data to learn from Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making Manage and support multiple languages Allows users to manage data from a number of sources Running multiple processors to handle separate parts of an overall task and manage complex tasks/computations. Predict future data based on historical data sets Analyze and gain insights into data in real-time Receive data and information in real time Active reporting of data and metrics Set & manage permission levels based on user roles and restrict access to only authorized individuals Generate reports on your own without IT involvement Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral Sample files or documents that could be customized as needed or used as is Set up connections to third-party platforms to improve business processes Series of data points indexed in time order Review data from past periods to reveal recurring tendencies and predict future performance Streamlining repetitive tasks and activities through automated and predefined workflows Create, design and manage workflows for repetitive tasks Get Advice We can help you find the software with the features you need. Features 4.6 (36) 4.6 Based on 36 reviews ## Pricing Value for money 4.2 (28) Free Trial Free Version [View pricing plan details](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/pricing/) On Demand Pricing $5.00 Usage Based,Per Month Monthly Flat Rate $2,000 Flat Rate,Per Month Annual Flat Rate $1,700 Flat Rate,Per Month Value for money 4.2 (28) 4.2 Based on 28 reviews ## Integrations [ Google Analytics 360](https://www.capterra.com/p/177042/Google-Analytics/)[ Google Ads](https://www.capterra.com/p/213339/Google-Ads/)[ Google Data Studio](https://www.capterra.com/p/190616/Data-Studio/)[ Looker](https://www.capterra.com/p/169053/Looker/)[ Google Cloud Compute Engine](https://www.capterra.com/p/253623/Google-Cloud-Compute-Engine/)[ Google Campaign Manager 360](https://www.capterra.com/p/245564/Google-Campaign-Manager-360/)[ Google Cloud Bigtable](https://www.capterra.com/p/246684/Cloud-Bigtable/)[ Vertex AI](https://www.capterra.com/p/233122/Vertex-AI/) Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 3.9 (28) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 3.9 (28) 3.9 Based on 28 reviews ## User reviews Overall rating 4.6 Based on 36 reviews Filter by rating 5(25) 4(9) 3(2) 2(0) 1(0) Mentioned topic Sorted by most recent GI Gabriel I. BA Financial Services ### "High-Speed Data Warehouse " 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 July 3, 2026 Google Cloud BigQuery is an outstanding solution for organizations handling substantial volumes of analytical data. Its speed, scalability, and minimal maintenance requirements make it an excellent choice for modern data teams. Pros BigQuery processes massive datasets exceptionally quickly while eliminating much of the infrastructure management associated with traditional databases. SQL support is familiar, and automation features simplify recurring analytical workloads. Cons Costs can increase rapidly if queries are not optimized. Users unfamiliar with cloud-based data warehouses may also need time to understand pricing and best practices. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. SP Sudhakar P. Data Engineer Banking ### "Big query for modernization " 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 8/10 February 11, 2026 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AT Alex T. User Acquisition Analyst Computer Games ### "Our datawarehouse" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 10/10 January 5, 2026 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 Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. KG Kelley G. Data Scientist Construction ### "Fast and Powerful, But Watch the Costs" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 10/10 December 1, 2025 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 Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. RC Ryan C. Analytics Manager Real Estate ### "Money grab for the most part" 3.0 Overall Rating 3.0 3.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 1.0 1.0 Likelihood to Recommend 6/10 November 3, 2025 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. Jim C. Lead application support analyst Information Technology and Services ### "BQ experience from point of view of GCP tech support lead" 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 7/10 October 29, 2025 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. Sachin B. Data Analyst Food & Beverages ### "Powerful, Scalable, and Insightful Data Analytics Platform" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 October 21, 2025 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. PK Pranav K. Data Analyst Automotive ### "My review for Google Cloud BigQuery" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 January 22, 2025 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. EG Erika G. Data Analyst Information Technology and Services ### "GBQ is a good Choice " 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 7/10 January 3, 2025 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. Vaibhav G. Software Developer Computer Software ### "Review of BigQuery Query Execution and Use Cases." 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 December 24, 2024 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. [View all Reviews](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/reviews/) ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox. Popular comparisons [Snowflake vs Google Cloud BigQuery](https://www.capterra.com/compare/148267-268689/Snowflake-vs-Google-Cloud-BigQuery)