--- 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: '2026-07-01' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # Google Cloud BigQuery Reviews **Vendor:** Google **Category:** [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) **Average Rating:** 4.5/5.0 **Total Reviews:** 1,224 ## About Google Cloud BigQuery BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and run up to 1 TiB of queries for free per month. ## Google Cloud BigQuery Pros & Cons **What users like:** - Users appreciate the **ease of use** in BigQuery, allowing them to run complex queries effortlessly. (156 reviews) - Users highlight the **incredible speed** of Google Cloud BigQuery, making data handling efficient and user-friendly. (143 reviews) - Users highlight the **fast querying capabilities** of Google Cloud BigQuery, making data analysis efficient and effortless. (120 reviews) - Users value the **seamless integrations** of BigQuery with other Google Cloud products, enhancing their analytics capabilities significantly. (118 reviews) - Users appreciate the **query efficiency** of Google Cloud BigQuery, highlighting its effortless processing of complex data. (114 reviews) - Users appreciate the **scalability** of Google Cloud BigQuery, efficiently handling large datasets and providing fast performance. (112 reviews) - Easy Integrations (99 reviews) - Large Datasets (96 reviews) - Efficiency Improvement (85 reviews) - Performance (85 reviews) **What users dislike:** - Users find that the **cost can escalate quickly** with Google Cloud BigQuery if not carefully monitored. (127 reviews) - Users struggle with **query issues** in BigQuery, facing challenges in cost management and optimization of queries. (78 reviews) - Users express concerns over **cost issues** , particularly due to high expenses from poorly optimized queries. (63 reviews) - Users find **cost management challenging** due to high fees for poorly optimized queries and small dataset limitations. (60 reviews) - Users find the **learning curve** for advanced features in Google Cloud BigQuery challenging, contributing to billing misunderstandings. (54 reviews) - Expensive Queries (53 reviews) - Cost Estimation (46 reviews) - Slow Performance (38 reviews) - Slow Queries (33 reviews) - Unclear Pricing (29 reviews) ## Google Cloud BigQuery Reviews ### 1. It’s been a game-changer for our reporting and team collaboration **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Small-Business (50 or fewer emp.) **Reviewed Date:** July 28, 2025 **What do you like best about Google Cloud BigQuery?** The most helpful thing about BigQuery is how fast and scalable it is—you can run complex SQL queries on massive datasets in seconds without worrying about infrastructure. I love that it’s fully serverless, so there’s no setup or maintenance, and the integration with other Google Cloud tools makes it easy to build data pipelines or dashboards. Pricing based on data scanned keeps costs predictable, and the performance has been consistently solid for our team. **What do you dislike about Google Cloud BigQuery?** One downside is that costs can add up quickly if you’re not careful with how much data your queries scan. It also lacks some built-in data transformation or orchestration features, so you often need other tools like Dataflow or Cloud Composer. The UI can feel a bit clunky for complex workflows, and debugging SQL in the web interface isn’t always the most convenient. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery helps us handle large volumes of data without needing to manage any servers or databases ourselves. It’s been especially useful for speeding up our reporting, running advanced analytics, and creating real-time dashboards for stakeholders. We can now analyze customer behavior, track KPIs, and make data-driven decisions much faster than before. ### 2. Blazing Fast, Effortless Integration—BigQuery Delivers Powerful Analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Biotechnology | Enterprise (> 1000 emp.) **Reviewed Date:** November 18, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery is fast, fully serverless, easy to integrate with other Google Cloud tools, and handles large datasets effortlessly using simple SQL. **What do you dislike about Google Cloud BigQuery?** BigQuery can get expensive for frequent or complex queries, has some limitations in job monitoring and debugging, and its SQL features and UI still feel limited compared to traditional data warehouses. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery solves the problem of handling and analyzing large datasets quickly without managing any infrastructure. It lets me run fast SQL queries, create reports easily, and integrate data from multiple sources—all of which saves time, reduces manual effort, and improves decision-making. ### 3. Cloud based Data warehouse **Rating:** 5.0/5.0 stars **Reviewed by:** Shubham J. | Google Cloud Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 31, 2025 **What do you like best about Google Cloud BigQuery?** Best thing which I like about Google Cloud bigquery is that it just not query store data within it, but we can also query external source like stored data in GCS. **What do you dislike about Google Cloud BigQuery?** Nothing much to dislike about bigquery as it resolved our problems. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Since BigQuery connects directly with my data in GCS, I don’t need to move files around—I can analyze raw data where it is, saving time and cost. ### 4. Simple and easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** Muammar K. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 10, 2025 **What do you like best about Google Cloud BigQuery?** Its so easy and simple to use if you're familiar with SQL, and the fact that the query scales based on the memory & compute usage makes it cheap if you can write an efficient query **What do you dislike about Google Cloud BigQuery?** the hidden cost if you're writing inefficient query can ramp up the cost pretty heavily **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Client wants to see an analytics dashboard of their data from multiple databases. Bigquery can handle all data from multiple databases and can seamlessly connect to a looker studio dashboard so Bigquery makes it simpler for us ### 5. Great DataLake Infrastructure **Rating:** 4.0/5.0 stars **Reviewed by:** Kyle H. | Staff Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Google Cloud BigQuery?** The console is descriptive and I've found performance to match my expectations. The Python API is also pretty slick for querying data that I need. **What do you dislike about Google Cloud BigQuery?** There are some odd query-type quirks that don't always make sense coming from SQL. I've been notified some of my queries are quite expensive in ways I didn't expect. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It helps connect our data and provides a streamlined infrastructure to make our data easily accessible. ### 6. Google Cloud BigQuery Review **Rating:** 4.0/5.0 stars **Reviewed by:** Sourabh K. | Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** July 21, 2025 **What do you like best about Google Cloud BigQuery?** I like that BigQuery is serverless, fast, and scales effortlessly for petabyte-scale analytics. It supports standard SQL, integrates well with Google tools, and even lets you run ML models directly on your data without moving it. **What do you dislike about Google Cloud BigQuery?** BigQuery can get expensive with frequent or complex queries, especially if not optimized. It also has query performance limitations for very high-concurrency, low-latency use cases compared to traditional OLAP databases. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery solves the problem of analyzing massive datasets quickly and without managing infrastructure. It lets me run complex SQL queries on petabytes of data in seconds, enabling faster insights, simplified data workflows, and cost-effective analytics at scale—all without the need for traditional data warehouse maintenance. ### 7. Very helpful for handling large datasets, but watch out for the billing **Rating:** 5.0/5.0 stars **Reviewed by:** Anandhu B. | Freelance Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 02, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery makes it really easy to run heavy queries on huge datasets without slowing down. The speed and performance are excellent, and we don’t need to worry about managing any servers. It also works smoothly with other Google Cloud services like Data Studio, which helped us set up dashboards quickly. **What do you dislike about Google Cloud BigQuery?** The main issue is the pricing. If you don’t know how to write optimized queries, the costs can go up fast without warning. We had to spend time learning how to use it efficiently. Also, the billing dashboard could be more user-friendly for non-technical people. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** We were facing delays in generating reports and analyzing large datasets with our old setup. After moving to BigQuery, we are able to run complex queries in seconds, even on millions of rows. This has saved a lot of time for our analytics team and helped us make faster business decisions. It also reduced the load on our internal systems since BigQuery handles everything in the cloud. ### 8. How we migrated to Bigquery **Rating:** 5.0/5.0 stars **Reviewed by:** Anuj M. | Assistant Manager, Enterprise (> 1000 emp.) **Reviewed Date:** September 12, 2025 **What do you like best about Google Cloud BigQuery?** Previously we are on-prem storage due it's quick support during downtime later vendor upgrades to Bigquery then suddenly we realised that if vendor can make profit out of it why don't we migrated our self to GCP bigquery after 1 years voilaa we are 90% on bigquery using scalable demands and saving a lot **What do you dislike about Google Cloud BigQuery?** Their support is not as affective as legacy vendors **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It helps us to save cost as we migrated from on prem DBMS to Fully scalable on demand warehouse. ### 9. commendable Experience **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.) **Reviewed Date:** July 18, 2025 **What do you like best about Google Cloud BigQuery?** Google BigQuery provides exceptional speed and scalability, making it ideal for analyzing large datasets efficiently. Its clean, user-friendly interface enhances productivity and ease of use, even for complex tasks, and is easily supports different datasets. The intelligent query assistance and auto-suggestions significantly reduce development time and errors. Easily connect to Looker Studio for visualization. **What do you dislike about Google Cloud BigQuery?** BigQuery is powerful, but its cost structure can be complex and unpredictable for beginners. It lacks some advanced data visualization features, requiring integration with external tools. The interface, although functional, could be more advanced, similar to SQL Workbench or PostgreSQL tools. Additionally, real-time streaming capabilities could be enhanced for even more seamless workflows. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery helps solve the challenge of analyzing massive datasets quickly and efficiently. It eliminates the need for infrastructure management, saving both time and operational costs. This enables faster decision-making and smoother data workflows in our analytics projects. ### 10. All-in-one cloud service. **Rating:** 5.0/5.0 stars **Reviewed by:** Amr a. | Data Solution Architect, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** December 31, 2024 **What do you like best about Google Cloud BigQuery?** Google Cloud offers a wide range of solutions for technology development and deployment, including Computing, Networking, data Storage and management, AI and machine learning, all in one integrated platform. GCP has user-friendly learning tutorials and reliable community support, which makes it easy to solve whatever challenges might come up. **What do you dislike about Google Cloud BigQuery?** The user interface can appear complex to newcomers, as it lacks customization options for the left navigation menu. The inability to remove services not used by users can make the interface unnecessarily crowded. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud helps enhance our business intelligence solutions development capabilities. We use BigQuery's data warehousing service to explore, process, and analyze large datasets, uncovering patterns and insights. Google Dataflow allows us to handle growing data volumes for data preparation and pipeline automation. My team collaborates on Vertex AI to develop and integrate predictive models for forecasting and generative AI capabilities within our solutions. Overall, the Google Cloud Platform helps my team develop and deploy data-intensive solutions by providing robust technology infrastructure to manage and analyze large datasets quickly, allowing us to focus more on core tasks. ### 11. Fast, Scalable Performance with Seamless SQL Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Mid-Market (51-1000 emp.) **Reviewed Date:** February 28, 2026 **What do you like best about Google Cloud BigQuery?** Fast processing, scalable architecture, and seamless SQL integration for large datasets. **What do you dislike about Google Cloud BigQuery?** Costs can escalate quickly without careful query optimization and monitoring. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It enables fast analysis of massive datasets, improving reporting speed and decision-making. ### 12. Best platform for Big Data analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Vivek S. | Product analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** October 06, 2025 **What do you like best about Google Cloud BigQuery?** The ease in writing nested queries feel very intuitive **What do you dislike about Google Cloud BigQuery?** If multiple data sources integration could also be allowed **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Helps me in finding revenue recognition across multiple channels at once ### 13. Great GCP Integration and Usability, but Lacks Azure Support and Business Buy-In **Rating:** 4.0/5.0 stars **Reviewed by:** Jonathan C. | DIrector of Information Systems and Technology, Mid-Market (51-1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Google Cloud BigQuery?** Integration with the larger GCP suite of tools. Ease of use, and supporting documentation. **What do you dislike about Google Cloud BigQuery?** Can be harder to integrate with Azure platform resources. Reliant on opensource technologies Less support from business professionals "it isn't microsoft attitude from leaders" **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It is our Enterprise Data Warehouse and the central storage place for all of our relational data across all business tools. ### 14. Great tool for marketing data aggregation. **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel G. | Head of Data, Analytics & Martech, Enterprise (> 1000 emp.) **Reviewed Date:** January 23, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery has been a reliable tool for marketing data integration. It's serverless, so it's easy to scale and let's us focus on other things rather than maintenance overall. It's fast, so big querys that requires a lot of data takes just a few seconds to get the data. **What do you dislike about Google Cloud BigQuery?** While BigQuery is an awesome tool, there are a few things that can be a bit frustrating. Costs can add up quickly if you’re not careful. You need to focus on optimization and spend time setting up tables propperly. Another thing is that the learning curve requires time if you’re not familiar with SQL, getting started can feel overwhelming (a lot of traditional SQL techniques does not work on BigQuery, and some capabilities in BigQuery are not industry standards) **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery is solving some problems we face in digital marketing like data integration and specially data analysis. One of the biggest problems it solves is handling big files or rows of data from various sources like Google Analytics, Google Ads, CRM platforms, etc. We usually dealt with google sheets files for some marketing dashboards in the past, even traditional SQL tables, and the performance wasn't great and the dashboards wheren't stable. BigQuery fixed that. Another key benefit is centralized data storage and analysis. Before BigQuery, data was scattered across multiple platforms (even excel files), making it hard to get a complete picture. ### 15. Easiest and the efficient Cloud based Data Warehouse for use **Rating:** 5.0/5.0 stars **Reviewed by:** P K. | Business Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** January 16, 2025 **What do you like best about Google Cloud BigQuery?** - Ease to use - Ease of Implementation - Number of Features - Support - Price - Efficiency - Lots of functions available - Easy project and Dataset handling **What do you dislike about Google Cloud BigQuery?** The way Google Cloud Big Query has evolved from it's inception is really comendable. So there are very less dislikes at the moment. SQL Support could be further enhanced and integrations with different platforms via APIs can be added **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It is by far the easiest Data Warehouse available in the market. the Big Data Analytics in Big Query is pretty easy and someone who is a beginer can easily pick this up. For me it is helping to store the Ecommerce Data into the Data Warehouse and then perform various analysis on that data and present it to business for further actions. Using this on a daily basis for a few years now, I can say this is by far the best cloud based data warehouse among others like Redhsift, Azure . - Data Storage - Analytics - Data Visualisation - Descriptive Analytics ### 16. The Two Sides of Google Cloud BigQuery **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammad Rasool S. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** January 17, 2025 **What do you like best about Google Cloud BigQuery?** Quick onboarding for begginer with clear UI and comprehensive documentation and supports ad-hoc quering and scheduled batch jobs and native interactions with google ecosystem products make workflows seamless as ease of implementation having robust customer support. For Data analysis helpful for daily use. **What do you dislike about Google Cloud BigQuery?** Misunderstanding of how queries are billed can lead to unexpected costs and requires careful optimization and awareness of best practices and while basic quering is simple, features like partitioning, clustering, and BigQuery ML reequire some learning and users heavily reliant on UI might find some limitations compared to standalone SQL clientsof third-party tools. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** To solve a sales performance in real time as for data ingestion in stream transaction data from POS systems to BigQuery using Pub/Sub and for data transformation we use dataflow to clean and normalize incoming data and mainly for analysis to run SQL queries in BigQuery to calculate metrics like revenue, top selling products, and sales trendas and finally to create a dashboard in Google Data Studio to show real time KPIs. ### 17. Web Developer **Rating:** 5.0/5.0 stars **Reviewed by:** Shafqat A. | Digital Solutions Expert specializing in software support, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** July 24, 2025 **What do you like best about Google Cloud BigQuery?** What I like best about Google Cloud BigQuery is its speed and scalability it handles huge datasets quickly without needing to manage any infrastructure. **What do you dislike about Google Cloud BigQuery?** One downside of BigQuery is that costs can add up quickly if you're not careful with how you structure your queries or manage data usage. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud BigQuery helps solve the problem of analyzing massive datasets without needing complex setup or infrastructure. It allows me to run fast, SQL based queries on large amounts of data, which saves time and makes data driven decisions easier and more efficient. ### 18. Early predictions of LPG cylinder failure using Bigquery, ML and a Looker dashboard. **Rating:** 4.0/5.0 stars **Reviewed by:** Yassiem D. | IT consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** February 13, 2025 **What do you like best about Google Cloud BigQuery?** It's a powerful data science tool with serverless architecture and excellent scalability It efficiently processes large datasets using SQL It works well with other Google Cloud services and visualization tools It offers flexible pay-as-you-go pricing Despite some limitations (like query costs and table renaming restrictions), it's considered highly valuable for data scientists' careers **What do you dislike about Google Cloud BigQuery?** Cannot rename tables.Must replace entire datasets if table names need changing Querying can be expensive. Testing queries on live data can incur significant costs No 'undo' function for queries. Datasets can expire and be lost if not monitored Need to be cautious with live data. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Early predicting LPG cylinder failure during revalidation using machine learning and visualising the findings in a dashboard. This allows closer inspection and scrapping eary saving time and costs of revalidation of a cylinder likely to fail. ### 19. Amazing product by google **Rating:** 5.0/5.0 stars **Reviewed by:** Joy M. | Associate System Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2025 **What do you like best about Google Cloud BigQuery?** The best thing according to me about the google cloud bigquery is the user friendly UI of the product that allows new people to use it effortlessly **What do you dislike about Google Cloud BigQuery?** The thing that i dislike the most about the google cloud bigquery is the integration of the bigquery with or without the use of adapters with third party analytics tools. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** The problems that we are solving using the google cloud bugquery is the processing and analysis of large volume of data to create reports out of it. ### 20. Powerful Analytics Tool to handle large data sets **Rating:** 4.5/5.0 stars **Reviewed by:** RAJJAT K. | Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 28, 2025 **What do you like best about Google Cloud BigQuery?** I think it is one of the best tool have been using frequently to handle large data sets, query can be easily written and very fast queries execution, further can be easily further integrated with standard google tools such as Google Sheets, Looker Studio, and other Google Cloud services, simplifying analysis and easy implementation. There customer support is also very responsive. **What do you dislike about Google Cloud BigQuery?** I think it is best but have used majority of time standard traditional database, hence i feel troubleshooting long queries is not as intuitive as in traditional databases. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** As an analyst, I have been using Google Cloud BigQuery to handle large-scale web and app data, enabling faster stakeholders decisioning-making and streamlined reporting. It allows me to run very complex SQL queries on large datasets within seconds. Its seamlessly integrate directly with the Google Sheets and Looker Studio data visualization and reporting shared with the senior stakeholders. ### 21. The Google BigQuery **Rating:** 4.5/5.0 stars **Reviewed by:** Trupti N. | Member, Enterprise (> 1000 emp.) **Reviewed Date:** February 20, 2025 **What do you like best about Google Cloud BigQuery?** The efficiency of handling a large set of data to query and retrieve results within few seconds/minutes of time depending on the size of dataset. **What do you dislike about Google Cloud BigQuery?** Sometimes the constraints of not clearly stating the errors while uploading dataset. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud BigQuery is solving the problem of storing large datasets on it very easily and often provides the ease to analyse the users to do their query, retrieve results and gain insights for what they were looking for within few time very efficiently. It is benefitting me a lot, as being a user for almost long time I have used and met my needs in google cloud bigQuery very easily without any hurdles. I have stored and queried many queries on large datasets for meeting my needs for analysis. ### 22. Big query can be easily used withing gcp for analysing big data **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consumer Electronics | Mid-Market (51-1000 emp.) **Reviewed Date:** July 31, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery is used daily for fast data analysis, like tracking sales, customer behavior, or marketing results. It’s serverless, easy to use, and handles huge data. Businesses use it for reports, forecasts, and insights without managing servers. Specially it can handle big data makes it good for use **What do you dislike about Google Cloud BigQuery?** It is not ideal for frequent updates, cost is high. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Since I have to handle huge amount of data. Hence it is a good platform to handle bigdata. Can be integrated with looker for analysis and visualization ### 23. Easy and Fast Way to Handle Big Data **Rating:** 4.5/5.0 stars **Reviewed by:** Ramraja Y. | Data Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** January 10, 2025 **What do you like best about Google Cloud BigQuery?** I am learning BigQuery during my internship at Brainwave Matrix Solutions, and it is easy to use. It works fast. I can run SQL queries quickly and get results, even as a beginner. It also works well with other Google Cloud tools. BigQuery handles big data easily. It’s really helping me as I learn. **What do you dislike about Google Cloud BigQuery?** It can be hard to understand all the features for someone who is new. The UI of the system can be made simpler to understand and can be remembered easily for someone new like me. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery helps me handle large datasets easily. Running SQL queries is fast and simple. I have learned intermediate-level SQL and basic Python analysis with it. I am now working on a Blinkit sales data analysis project. BigQuery makes it easy to find trends and insights from large data. It is also helping me improve my skills. ### 24. My Review About Google Bigquery **Rating:** 5.0/5.0 stars **Reviewed by:** Manikya A. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 31, 2025 **What do you like best about Google Cloud BigQuery?** The queries and its executions can be done easily in Bigquery. **What do you dislike about Google Cloud BigQuery?** There is nothing I as such dislike about Google BigQuery **What problems is Google Cloud BigQuery solving and how is that benefiting you?** The platform is very user friendly. The Data preview feature is very useful and the queries and its executions are very easy to execute. ### 25. The Data Powerhouse **Rating:** 4.5/5.0 stars **Reviewed by:** Ashwin R. | Systems Engineer (Product Specialist), Enterprise (> 1000 emp.) **Reviewed Date:** July 01, 2025 **What do you like best about Google Cloud BigQuery?** Fast analytical capabilities on large datasets and the ability to build ML Models with BQML **What do you dislike about Google Cloud BigQuery?** Not much suitable for building OLTP workloads **What problems is Google Cloud BigQuery solving and how is that benefiting you?** My clients often lack core machine learning knowledge but tend to have developers handy with SQL. For them, BQML is a good headstart for building ML models, that too without having to move data out of BigQuery. ### 26. Quick for large datasets analytics but have to be cautious **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** October 05, 2025 **What do you like best about Google Cloud BigQuery?** I found it easy to use, especially since I previously worked with PostgreSQL and really needed something more straightforward. I appreciate the features and the overall user experience that BigQuery offers. **What do you dislike about Google Cloud BigQuery?** This platform is notorious for its lack of strict quotas and limitations during the initial setup, which can lead to significant costs if you are not careful. In our experience, running queries on large datasets ended up costing us a substantial amount due to this oversight. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** We took advantage of BigQuery's horizontal scaling, which allowed us to run queries on large datasets in just a few seconds. This has been a significant benefit to our operations, helping us reduce latency in our core services. ### 27. Reliable, Scalable, and User-Friendly **Rating:** 5.0/5.0 stars **Reviewed by:** Jathin Chowdary M. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 02, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery makes handling large datasets fast and easy, with no infrastructure to manage. Its SQL support, seamless GCP integration, and powerful features like partitioning and federated queries are especially useful. **What do you dislike about Google Cloud BigQuery?** Cost management can be tricky with on-demand pricing, especially for large or frequent queries. The interface is functional but could be more intuitive for advanced workflows. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery helps us analyze massive datasets quickly without managing infrastructure. It enables faster decision-making by allowing teams to run complex queries in seconds, improving our reporting and data-driven strategies. ### 28. Amazing autoscale and support. ETL made easy **Rating:** 5.0/5.0 stars **Reviewed by:** Antarix K. | AI Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** October 09, 2025 **What do you like best about Google Cloud BigQuery?** Autoscale and speed. The query and integration with google storage is seem less and Looker studio does amazing job with reporting **What do you dislike about Google Cloud BigQuery?** Cost is the major factor and pay as you go is heavy on the pocket. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** ETL on master table creation. Mostly transformation ### 29. Fast, scalable, and great for large-scale data analysis. **Rating:** 5.0/5.0 stars **Reviewed by:** Om P. | Compliance Officer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 30, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery's ability to handle petabyte-scale queries with ease, its seamless integration with Google Sheets, and its SQL-like syntax make it a powerful yet user-friendly data warehouse. **What do you dislike about Google Cloud BigQuery?** Pricing model can get expensive for exploratory querying. It lacks a more intuitive UI for casual users and can overwhelm beginners with its billing setup. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud BigQuery helps us quickly process large-scale data, streamline analytics workflows, and improve reporting accuracy through real-time insights. ### 30. BigQuery - Perfect for Beginners and new Businessesq **Rating:** 4.0/5.0 stars **Reviewed by:** Uwais K. | Senior Product Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** March 12, 2025 **What do you like best about Google Cloud BigQuery?** It is an easy platform to use There are many tools to get data into it and integrate other systems into it There are a lot of resources to learn more on how to use it It is easy to get started and implement into a business **What do you dislike about Google Cloud BigQuery?** It is not a relational database There are still not enough people with good experience on BigQuery in South Africa **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Data Warehousing - we didn't have a data warehouse or platform before this Analytics - we used Sheets before this. It has literally changed the way we see and use data Apps - we build apps that use BQ as the database ### 31. Good Cloud Computing services by Google Cloud Platform (GCP) **Rating:** 4.5/5.0 stars **Reviewed by:** Rishabh S. | Cloud Computing, Enterprise (> 1000 emp.) **Reviewed Date:** June 20, 2024 **What do you like best about Google Cloud BigQuery?** Google Cloud Provides a lot of features including Advanced Data Analytics and Machine Learning Capabilities. One of the best features of Data Analytics is BigQuery. It is a serverless architecture which also ensures quick deployments. BigQuery is SQL compatible which makes it easier to use. It also gives real time analytics. **What do you dislike about Google Cloud BigQuery?** Although Google Cloud has a lot of features, it comes with some cons as well. One of its demerit is tha it is costly as compared to other cloud computing services. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud can handle and analyze large datasets making our jobs very easy. It gives real time analytics which is crucial for businesses dependent on them. BigQuery is SQL compatible. We use SQL to easily query throught the large datasets. ### 32. Your all inclusive, complete data package **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** July 31, 2025 **What do you like best about Google Cloud BigQuery?** I really like the wide range of tools available in Google Cloud that can be used with BigQuery. Additionally, BigQuery is super easy to set up and really simple to use on a day-to-day basis. **What do you dislike about Google Cloud BigQuery?** The only complication I have faced is the slight challenge with integrating BigQuery with other tools to share data. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery offers a complete package from integrating data from different sources to offering all ETL services under one roof. ### 33. BigQuery Pros and Cons **Rating:** 5.0/5.0 stars **Reviewed by:** sarthak j. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** February 24, 2025 **What do you like best about Google Cloud BigQuery?** One of the best features of BigQuery is its serverless architecture and scalability, allowing SQL queries to execute terabytes of data. It also supports federated queries and scheduled queries. Sometimes, when building a data warehouse, it functions as an independent service to manage data completely, without the need to configure any other services. **What do you dislike about Google Cloud BigQuery?** I would say the disadvantage of BigQuery is its high cost, which is why small businesses don’t use it as much. Additionally, it does not support keys like primary keys or foreign keys. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It allows us to query huge volumes of data using SQL. The Autherized View and scheduled queries are key features that benefit most developers. ### 34. big query database **Rating:** 5.0/5.0 stars **Reviewed by:** Pallavi H. | Data engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 07, 2025 **What do you like best about Google Cloud BigQuery?** It's very good , can handle large data and support realtime inserts along with partitioning support **What do you dislike about Google Cloud BigQuery?** Nothing much that I don't like about bigquery **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It's solving realtime inserts of bulk data issue It's supporting orc formats ### 35. A super managed platform with cost effective solutions **Rating:** 4.0/5.0 stars **Reviewed by:** Ashish C. | Central Operations - Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** October 04, 2025 **What do you like best about Google Cloud BigQuery?** No infra required because of server less. Very cost effective. **What do you dislike about Google Cloud BigQuery?** SQL and Data modelling is a must for this. It can't give low latency. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It solves the problem of vast amount of data by using queries . ### 36. Powerful data processing system **Rating:** 4.5/5.0 stars **Reviewed by:** Vaibhav B. | product Manager, Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2025 **What do you like best about Google Cloud BigQuery?** scalability and data limits which bigquery Excells **What do you dislike about Google Cloud BigQuery?** Per MB 10 min billable units, I cant normal use BQ to power my most application **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Handling data at scale and with speed ### 37. Effortless Big Data Analysis with Powerful Integrations **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** June 25, 2025 **What do you like best about Google Cloud BigQuery?** I like that Google Cloud BigQuery offers serverless, real-time analytics at petabyte scale with no infrastructure management, and provides powerful built-in machine learning and governance features for seamless, secure data analysis **What do you dislike about Google Cloud BigQuery?** BigQuery’s pricing can escalate quickly if queries aren’t well optimized, and there are various usage quotas and limits that can restrict very high-volume or complex workloads. Additionally, working with BigQuery often requires strong SQL and data engineering skills, which can be a barrier for some teams **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud BigQuery solves the problem of scattered, siloed data by centralizing it for fast, unified analysis, enabling quicker, data-driven decisions and reducing costs. This benefits me by providing instant insights from all my business data in one place, streamlining operations and supporting smarter growth ### 38. Architecture & Design BigQuery is a serverless, distributed SQL engine built on Dremel. **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** September 08, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery offers a powerful balance of speed, scalability, and simplicity for analytical workloads. Engineers can offload infrastructure concerns and focus on schema design, cost optimization, and SQL logic **What do you dislike about Google Cloud BigQuery?** Cost Pitfalls • Pricing is per TB scanned. Poorly written queries (e.g., SELECT *) can be extremely costly. • Requires engineering discipline: partitioning, clustering, pruning, and query tuning are essential. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Compute resources are automatically allocated per query, so there’s no cluster to size or tune. • Can handle thousands of concurrent queries without noticeable degradation. ### 39. Big query is a game changer for real time analytics and massive data processing **Rating:** 5.0/5.0 stars **Reviewed by:** Lakshmi B. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 23, 2025 **What do you like best about Google Cloud BigQuery?** To run complex SQL queries on terabytes of data in seconds and Easy to use, easy UI and the best for easy integration with looker. Fast qyery execution for trillion rows. So very useful for developers and analysts **What do you dislike about Google Cloud BigQuery?** poorly optimized query can become expensive, long debugging, nested SQL queries are challenging **What problems is Google Cloud BigQuery solving and how is that benefiting you?** processing the big data and analyzing them quickly, no infrastructure management, speed query processing, real time analytics ### 40. First Class Warehouse Solution **Rating:** 4.5/5.0 stars **Reviewed by:** Antoine L. | Data Platform Product Owner, Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2025 **What do you like best about Google Cloud BigQuery?** Having the option to use on-demand or capacity based pricing models is great **What do you dislike about Google Cloud BigQuery?** It is missing a better integration with dbt **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery makes handling large amounts of data every easy and very fast. We can focus on just what logic we need and what results we want and not so much (if not never) about the performances and the infrastructure behind it. ### 41. Easy and very efficient **Rating:** 4.0/5.0 stars **Reviewed by:** Vishal L. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** July 24, 2025 **What do you like best about Google Cloud BigQuery?** We can easily code a complex query and debug. **What do you dislike about Google Cloud BigQuery?** Taking more time to execute for complex query **What problems is Google Cloud BigQuery solving and how is that benefiting you?** query writing is easy with function support provided by BigQuery ### 42. Easy to use , and easily understood concept **Rating:** 5.0/5.0 stars **Reviewed by:** Suryanshu S. | Project Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 06, 2025 **What do you like best about Google Cloud BigQuery?** The fastest execution of large data sets. **What do you dislike about Google Cloud BigQuery?** Yet to find that dislike thing about gcp **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It is solving the analysis of large amounts of data within seconds ### 43. Efficient solution with seamless integration **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Online Media | Enterprise (> 1000 emp.) **Reviewed Date:** July 29, 2025 **What do you like best about Google Cloud BigQuery?** Notable features includes the ability to handle large dataset queries at scale coupled with its easy epf usage through standard SQL queries **What do you dislike about Google Cloud BigQuery?** Cost implications which could baloon depending on the query dataset & it's ability to handle and process data in real time and at scale **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Primarily solving for analytics at scale involving large and complex user datasets ### 44. GBQ is the main database we use for our company’s data and dashboards. **Rating:** 4.0/5.0 stars **Reviewed by:** Tri L. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** July 09, 2025 **What do you like best about Google Cloud BigQuery?** There’s a lot of inter connectivity between GBQ and the rest of the Google cloud environment which is nice because of how large and varied GCP is and the services it offers. **What do you dislike about Google Cloud BigQuery?** The complexity of it requires the documentation to be very technical which can be a problem for someone who isn’t familiar with the technology. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It stores data and allows us to query data quickly and efficiently. ### 45. BigQuery - Powerful Data Warehouse Solution **Rating:** 5.0/5.0 stars **Reviewed by:** Salman K. | Subordinate Consultant, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** January 09, 2025 **What do you like best about Google Cloud BigQuery?** There are Lots of features in Bigquery which are helpful to developers working in it.Even Non technicals can run there queries in big query using the help of Gemini.You can also estimate the cost behind each query before even running it.It is very easy in use also for new comers.i do work with Bigquery almost all time of day. **What do you dislike about Google Cloud BigQuery?** There are some things which are not available like bigquery cannot be directly integrated with solutons like Microsoft Sharepoint. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Bigquery is used as Data warehouse solution in our organization for storing data from different sources Like SAP,other Databases etc.Using all these data we create data models in way of Tables or views and provide it for visualization tool for users. ### 46. Google Cloud- Is it there? **Rating:** 4.5/5.0 stars **Reviewed by:** Juhi T. | Account Coordinator, Mid-Market (51-1000 emp.) **Reviewed Date:** April 22, 2025 **What do you like best about Google Cloud BigQuery?** Security, security, and security! The term Google resonates with trust and security. I know when I use Google Cloud, my data is 100% secure, no questions asked. **What do you dislike about Google Cloud BigQuery?** Limited Regional reach, which I hope they work on **What problems is Google Cloud BigQuery solving and how is that benefiting you?** We are a Google Cloud Premier Partner and Workspace and Cloud is are most used space, since we recommend these to our clients. Google cloud is amazing as a one stop shop for data management. It works wonderfully for a relatively small organisation as we do not need to own and maintain our data centres saves a lot on CapEx expense and can focus on budgeting while working on deliverables. ### 47. Amazing experience **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Networking | Small-Business (50 or fewer emp.) **Reviewed Date:** April 05, 2025 **What do you like best about Google Cloud BigQuery?** One thing I most enjoy about Google Cloud BigQuery is that it is scalable and quick. You can run complex queries against huge data sets in seconds without having to provision or manage servers. It handles all the heavy lifting under the hood, and that is just huge in terms of productivity improvement. **What do you dislike about Google Cloud BigQuery?** What I dislike about Google Cloud BigQuery is primarily the cost control feature. While the performance is excellent, it's incredibly easy to rack up costs if queries are not optimized to a degree. If the users have no idea how data is scanned. The on-demand pricing model must be kept under close scrutiny, especially in teams where many people are querying huge amounts of data. In addition, performance tuning and debugging may be somewhat opaque at times. While tools like the Query Plan and Execution Details help, it is not always simple to understand why a query is slow or expensive, especially for users with less experience. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It helped in solving some of the problems like handling huge data sets effectively. BigQuery allows us to run complex analysis queries without worrying about the infrastructure or bottlenecks in performance. The serverless means that we do not have to keep clusters running and worry about scaling. It helped us move from batch reporting to on-demand analysis, and we are able to respond faster to problems and trends. ### 48. Best platform for analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Ashu S. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 20, 2025 **What do you like best about Google Cloud BigQuery?** No need to manage infrastructure; Google handles scaling, maintenance, and performance tuning automatically. Works well with other Google Cloud services (Cloud Storage, Dataflow, AI/ML tools) and external platforms like Looker, Tableau, and BigQuery ML for advanced analytics.Can process streaming data in real-time, making it ideal for use cases like fraud detection and live analytics. I don’t have to manage infrastructure, scaling, or indexing manually. It allows you to run SQL queries on massive datasets without worrying about performance tuning. **What do you dislike about Google Cloud BigQuery?** BigQuery follows a pay-per-query model, meaning costs can spike unexpectedly if queries are not optimized. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud BigQuery solves the challenge of processing and analyzing massive datasets efficiently without the need for complex infrastructure management. Traditional databases struggle with scalability and performance when handling terabytes or petabytes of data, but BigQuery’s serverless architecture allows businesses to run complex SQL queries in seconds. It eliminates the need for manual indexing and tuning, enabling seamless data analysis at scale. ### 49. i'd love to use Good cloud Bigquery **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** September 12, 2025 **What do you like best about Google Cloud BigQuery?** first of all the best thing about google cloud Bigquery is the GCP IDE, Easy to connect the data from diff sources & also we can export the data from bigquery to next steps like machine learning/ report creation etc. It's very ease of integration, implementation. customer support. frequency of use. **What do you dislike about Google Cloud BigQuery?** didn't encountered any dislike feature in google cloud bigquery **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Insights into the business on how well the marketing campaigns running. ### 50. Big Query Review **Rating:** 4.0/5.0 stars **Reviewed by:** Aamaan S. | Freelance Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** February 27, 2025 **What do you like best about Google Cloud BigQuery?** The best thing about big query is -quick response -better grid view -less complexity -easy to use for beginners **What do you dislike about Google Cloud BigQuery?** I have used big query in my organization and the only thing I didn't like that it is costly **What problems is Google Cloud BigQuery solving and how is that benefiting you?** I am Data Engineer and I was once working on a migration project and that was the first time I was introduced to BigQuery and my first reaction was how to use this?? Because I was from AWS background and when I used it was soo good and beginner friendly I got use to it in 2-3 days and in 2-3 day I can write queries, upload data in BigQuery, vizualize data in BigQuery, basically it helps to remove complexity for beginners, it is fast and that's all ## Google Cloud BigQuery Discussions - [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes - [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote - [When we can integrate](https://www.g2.com/discussions/when-we-can-integrate) - 1 comment, 1 upvote - [How BQ legacy SQl is different form the standard SQL?](https://www.g2.com/discussions/16021-how-bq-legacy-sql-is-different-form-the-standard-sql) - 1 comment, 1 upvote - [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment - [View Google Cloud BigQuery pricing details and edition comparison](https://www.g2.com/products/google-cloud-bigquery/reviews?page=3§ion=pricing&secure%5Bexpires_at%5D=2026-07-01+14%3A54%3A17+-0500&secure%5Bsession_id%5D=f090fa2d-b1e2-4632-a1b1-396e617321fb&secure%5Btoken%5D=81a4b404e8a64cc11e5394865b5f040fa152830d92e189887148b5ce1bc2575d&format=llm_user) ## Google Cloud BigQuery Integrations - [Ab Initio](https://www.g2.com/products/ab-initio/reviews) - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [AM](https://www.g2.com/products/am/reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [AppSheet](https://www.g2.com/products/appsheet/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews) - [CrowdStrike Falcon Endpoint Protection Platform](https://www.g2.com/products/crowdstrike-falcon-endpoint-protection-platform/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [DATAflow](https://www.g2.com/products/dataflow/reviews) - [Data Studio](https://www.g2.com/products/data-studio/reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - [Google Analytics 360](https://www.g2.com/products/google-analytics-360/reviews) - [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews) - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews) - [Grafana Labs](https://www.g2.com/products/grafana-labs/reviews) - [Hightouch](https://www.g2.com/products/hightouch/reviews) - [Informatica PowerCenter](https://www.g2.com/products/informatica-powercenter/reviews) - [Looker](https://www.g2.com/products/looker/reviews) - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [pandas python](https://www.g2.com/products/pandas-python/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Prefect](https://www.g2.com/products/prefect/reviews) - [Purple DS](https://www.g2.com/products/purple-ds/reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - [Python](https://www.g2.com/products/python/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [Talend Cloud Data Integration](https://www.g2.com/products/talend-cloud-data-integration/reviews) ## Google Cloud BigQuery Features **Management** - Reporting - Auditing **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Storage** - Data Model - Data Types **Centralized computation** - Centralized Computation **Statistical Tool** - Scripting - Data Mining - Algorithms **Marketing Operations** - ROI Tracking - Data Collection - Customer Insights - Multi-User Access - Spend Management - White Label **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Availability** - Auto Sharding - Auto Recovery - Data Replication **Localized computation** - Localized computation **Data Analysis** - Analysis - Data Interaction **Integrations** - Hadoop Integration - Spark Integration **Deployment** - On-Premise - Cloud **Performance** - Integrated Cache **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Campaign Activity** - Campaign Insights - Reports and Dashboards - Campaign Stickiness - Multichannel Tracking - Brand Optimization - Predictive Analytics **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Agentic AI - Marketing Analytics** - Autonomous Task Execution - Cross-system Integration - Proactive Assistance **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Support** - Multi-Model - Operating Systems **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Google Cloud BigQuery Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (708 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,284 reviews) - [Cloudera](https://www.g2.com/products/cloudera/reviews) - 4.1/5.0 (131 reviews)