--- 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. Pros and Cons of Google Cloud BigQuery **Rating:** 5.0/5.0 stars **Reviewed by:** Ravi Chandra Reddy M. | data analysic asperent, Small-Business (50 or fewer emp.) **Reviewed Date:** January 21, 2025 **What do you like best about Google Cloud BigQuery?** It is beginner-friendly for onboarding and comprehensive documentation, and ad-hoc querying and scheduled batch jobs. Native interactions with Google ecosystems make implementation easy, having robust customer support. It is comfortable for frequent use. **What do you dislike about Google Cloud BigQuery?** It causes billing misunderstandings and creates a learning curve for advanced features, affecting users who depend on the limitations of the UI. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** To solve a sales performance issue in real-time, ingest transaction data from POS systems into BigQuery using Pub/Sub. For data transformation, use Dataflow to clean and normalize incoming data. Mainly for analysis, run SQL queries in BigQuery. ### 2. All in one powerhouse. **Rating:** 4.0/5.0 stars **Reviewed by:** sauravraj D. | Fabric Data/BI Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 23, 2025 **What do you like best about Google Cloud BigQuery?** Efficiency and speed of queries even with large data. **What do you dislike about Google Cloud BigQuery?** I like the complex UI, which is not completely clear to use. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It is solving data warehousing in the cloud, as we were using postgreSQL initially, now we've switched everything to Google Big query and it has been very easy to use till now. ### 3. I had used it to store large data set **Rating:** 4.5/5.0 stars **Reviewed by:** Suraj B. | Software Engineer III, Enterprise (> 1000 emp.) **Reviewed Date:** September 14, 2025 **What do you like best about Google Cloud BigQuery?** Its easy to create tables and integrations **What do you dislike about Google Cloud BigQuery?** bit slow in UI GCP and we need to manually create the pipelines **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Its very easy for integration ### 4. Google Big Query and GA4 **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Small-Business (50 or fewer emp.) **Reviewed Date:** September 08, 2025 **What do you like best about Google Cloud BigQuery?** We can connect with GA4 and see the analytics for traffic on our website and many more. **What do you dislike about Google Cloud BigQuery?** Cost is too high we connect google hig query with looker studio it cost us whenever user click on the report i think looker studio should have option to store the data not every time go to big query and get the data. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Anayltics and Business Intelligence ### 5. Easy to query **Rating:** 4.0/5.0 stars **Reviewed by:** Pardeep D. | CEO, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Google Cloud BigQuery?** Store plenty of data and query it like SQL. Low learning curve. **What do you dislike about Google Cloud BigQuery?** Restriction of no of records can be edited in parallel. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Storing huge data and provide quick analysis on the data. ### 6. BigQuery Studio Review **Rating:** 4.5/5.0 stars **Reviewed by:** Ashutosh A. | Assistant Manager Data Analytics, Enterprise (> 1000 emp.) **Reviewed Date:** October 09, 2024 **What do you like best about Google Cloud BigQuery?** Very fast processing, Computing power is very good. Even crores of records also it'll process in 5-10secs. Well Organised, UI is good. Even non techie can understand the things in no time. Scheduling queries creating views is super easy. We can even run AI/ML models in bigquery studio no need to explicitly build the models. **What do you dislike about Google Cloud BigQuery?** Even if you have saved views name in your dataset and if you refresh the page because of network issues or any other issues it wont show your views names instead it'll show untitled query in studio. Then again you have go to your view path and have to open and edit it from your left side panel. If we are working on small project then it is fine But when we're working on big projects where we have to open 10-15 views and edit it then that time it'll be hectic. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** As we have very big data of our company which is in crores. So to handle such big data we needed fast computing power which is solved by bigquery. ### 7. Using BQ for data analysis **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Mid-Market (51-1000 emp.) **Reviewed Date:** April 08, 2025 **What do you like best about Google Cloud BigQuery?** Resources and documentation are easily accessible and formatting a query is also easy. Having multiple data sources to pull from would be tedious if not for the search system available in BQ. This helps as I have to pull data from our storage every day. It is also easy to integrate BQ stores with other tools in the google ecosystem. **What do you dislike about Google Cloud BigQuery?** The search system does not always work when it comes to searching for older saved queries. I end up having to manually scroll through my saved queries to find the one i am looking for. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Metric monitoring ### 8. Truly a serverless offering by GCP **Rating:** 5.0/5.0 stars **Reviewed by:** Sagar G. | Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** October 06, 2024 **What do you like best about Google Cloud BigQuery?** Bigquery is one of that serverless warehouse where you don't have to thing about about compute, since it is managed by GCP, we as a engineers only needs to worry about how to store the data in BQ with effective partitioning and clustering strategy. Bigquery as shifted the tradition from decoupled compute and storage ( spark + warehouse ) to a tightly coupled architecture which has drastically simplified the data platform architecture. **What do you dislike about Google Cloud BigQuery?** I believe costing needs to be controlled, I have seen couple of engineers firing an very expensive queries unknowingly which has significantly increase the billing. I would recommend following changes: 1) There should be pop up kind of thing that we can implement which can warn the users ( on how many GB of data they are scanning along with its cost ). 2) Bigquery can also provide an optional features to the organisation where they can limit the data scan for their data users. ( lets say company decide to cap the data scan to 10 GB, none of the user should be able to query more than that ) 3) With the help of AI, if BQ can provide recommendation based on the query patterns and the table structure, few ways in which they can optimise table scan would be really beneficial. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BQ is solving the problem of having compute and storage present at a common place. We are using the combination of DBT+ BQ to build our data platform. BQ is truly scalable product where we can store TB's of data without worrying about the underlying infrastructure, and this really makes Bigquery special. We are also using Bigquery to create kind of data lake with the help of Biglake table in bigquery where we are using GCS for the storage and BQ infrastructure for querying it. ### 9. SQL and make it better! **Rating:** 4.0/5.0 stars **Reviewed by:** Yash G. | Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 21, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery has the best additional advanced commands and potential for loops, making it a full-stack tool for anything related to Data in big warehouses. Its easy to use interface and simple integration with other google tools makes it really useful. **What do you dislike about Google Cloud BigQuery?** The speed is good but the architecture can get better in my opinion. It's not very easy to understand how some of the larger tables work. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** So large databases can definitely take a lot of time to work with but BigQuery makes it easy by allowing users to have output around BigQuery analytics in a easier way and is so much faster at data aggregations. ### 10. Great solution for Individuals **Rating:** 4.0/5.0 stars **Reviewed by:** Hasan C. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 15, 2025 **What do you like best about Google Cloud BigQuery?** Google Cloud BigQuery offers impressive experience for individuals who want to practice on large datasets and seek high performance. It integrates seamlessly with other Google Cloud tools and provides a great ecosystem. **What do you dislike about Google Cloud BigQuery?** The interface is just too complicated for those just want to start exploring the realm of Google Cloud BigQuery, providing detailed, advanced UI that might be challenging for those who want to practice basic database tasks. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Utilized it as a Data Warehouse and worked very well ### 11. Google BigQuery **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 25, 2025 **What do you like best about Google Cloud BigQuery?** Partition and clustering in BigQuery helped me to save Time and find data easily and google Gemini integration also helped me to improve. **What do you dislike about Google Cloud BigQuery?** Nothing. Everything is good for me all features are very useful **What problems is Google Cloud BigQuery solving and how is that benefiting you?** For data loading and data transformation ### 12. The best I've seen for big data topics **Rating:** 5.0/5.0 stars **Reviewed by:** Duvan Dario D. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 05, 2025 **What do you like best about Google Cloud BigQuery?** ease of use and it is user-friendly **What do you dislike about Google Cloud BigQuery?** prices and lack of integrated data lineage **What problems is Google Cloud BigQuery solving and how is that benefiting you?** data storage and analysis ### 13. Business intelligence analyst **Rating:** 4.5/5.0 stars **Reviewed by:** Rahat A. | Business Intelligence Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** July 29, 2025 **What do you like best about Google Cloud BigQuery?** Easy and scalable data warhousing and transpatlrint views into ETLs **What do you dislike about Google Cloud BigQuery?** Managing the coating as the data grows and we need more space **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It helps us to mentain the single source of truth ### 14. Efficient and powerful data processing tool. **Rating:** 4.5/5.0 stars **Reviewed by:** Shubham B. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** December 30, 2024 **What do you like best about Google Cloud BigQuery?** BigQuery is very good at handling large datasets with high speed and scalability and integration with GA4 and Looker enables help in analytics and actionable insights. **What do you dislike about Google Cloud BigQuery?** The cost structure becomes expensive for complex queries. Also SQL interface has a learning curve for beginners. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery simplifies large-scale data analysis mainly GA4 data, and helps us to query huge datasets quickly insights. Also, the integration with Looker Studio is seamless. We schedule the query one single time and it does it job and customer behaviour. It helps boost decisions as per the insight we get from the dashboard. ### 15. Great Cloud BI Tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.) **Reviewed Date:** February 13, 2025 **What do you like best about Google Cloud BigQuery?** My company, Randstad, uses BigQuery as our data warehouse to store all our lead information and marketing metrics. It pulls numbers from various sources and then creates master data sources, which we use for the performance dashboards we present to internal stakeholders. More recently, we have been using Big Query to host our historical data from Google Analytics. **What do you dislike about Google Cloud BigQuery?** One of the things I dislike about BigQuery is that you need to be somewhat technical to use the product, it is confusing if you are not. A lot of people in my organization won't even go to the platform because it stresses them out. Also, if you don't know where the data is hosted it is hard to know where everything is. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery is solving the problem of hosting all of our data in one central location so we have a source of truth when getting numbers for our reporting purposes. ### 16. Google Cloud Review **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** September 12, 2025 **What do you like best about Google Cloud BigQuery?** Main advantages are it's features like Serverless Architecture, Automatic scaling, Integration, Security and Reliability and ML integration. **What do you dislike about Google Cloud BigQuery?** Some of the downsides are it's Unpredictable pricing, Data Loading and governance (not much support), Performance for small loads **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Pricing stratagies needs to changed and charged accordingly. ### 17. Legitimate survey about Google Cloud BigQuery. **Rating:** 4.5/5.0 stars **Reviewed by:** Rhea D. | Customer Care Executive, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 17, 2025 **What do you like best about Google Cloud BigQuery?** It is very assist full with putting away huge unstructured information and further etl the information and utilized for examination. Customer Support is great **What do you dislike about Google Cloud BigQuery?** Seller secure in, deceiving specialized documentation, lacking help, over the top expensive. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** I think Google BigQuery is the ideal vault for our scrubbed information to be all utilized for examination and deciding patterns. It's the ideal framework to connect to utilizing various ETL instruments and can be designed to be utilized by individuals with tremendously varying specialized abilities, from somebody that simply has to rapidly get an outline of how something is doing with some grouped details, to somebody that necessities to do a profound jump into a specific region and work out any patterns or issues. ### 18. Big Query is very useful **Rating:** 5.0/5.0 stars **Reviewed by:** Ambrose N. | Owner, Small-Business (50 or fewer emp.) **Reviewed Date:** January 11, 2025 **What do you like best about Google Cloud BigQuery?** I am able to use BigQuery to query my large integrated Google Analytics database and visualize the results in a metter of seconds very simply. Documentation was widely available for me to make BigQuery a regular part of my workflow. **What do you dislike about Google Cloud BigQuery?** There is a bit of a learning curve, but with AI solutions and the widely available documentation, it isn't too difficult to get started. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Helps me create reports and visualizations in realtime so i can make informated decisions on my business related products. ### 19. Machine Learning BigQuery **Rating:** 4.5/5.0 stars **Reviewed by:** Abhishek C. | Business development manager, Small-Business (50 or fewer emp.) **Reviewed Date:** February 20, 2025 **What do you like best about Google Cloud BigQuery?** No infrastructure management is required; Google manages everything which ideal allows ease of usage. Customer support is unique and friendly. Easy to implement with slack and internal CRM apps. used it on daily basis. while multiple features allowed me to connect with global database in very few query calls. **What do you dislike about Google Cloud BigQuery?** Pricing is costly for new firm specially startup **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery is a powerful data warehouse, which allows me and my team to analyse the short fall of data insight on unique formats. ideally allow to solve a big hurdle of data from one centre to another. ### 20. Unlocking Big Data Potential with Google Cloud BigQuery **Rating:** 4.5/5.0 stars **Reviewed by:** akash s. | Salesforce Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** November 06, 2024 **What do you like best about Google Cloud BigQuery?** The best part about Google Cloud BigQuery is its ability to handle massive datasets with lightning-fast SQL-like queries , making it ideal for quick data analysis and real-time insights.Plus , it's fully managed , so there's no need to worry about infrastructure. **What do you dislike about Google Cloud BigQuery?** Google Cloud BigQuery is powerful , but it has some downsides first is Understanding its price pricing structure cab be challenging , especially for new users or thoes on budget. second is it's designed for big datasets , so for smaller or real-time needs , it can feel slower or less efficient. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud BigQuery solves key data challenges by allowing organizations to store and analyze massive datasets without managing infrastructure. Its fast query performance enables quick, data-driven decisions, while seamless integration with other tools centralizes analysis. With flexible, usage-based pricing, BigQuery provides a cost-effective, scalable solution that simplifies data management and supports efficient, large-scale analytics. ### 21. How likely i use BigQuery **Rating:** 5.0/5.0 stars **Reviewed by:** Satish C. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** March 04, 2025 **What do you like best about Google Cloud BigQuery?** It's highly scalable, cost-effective, and integrates with other Google Cloud services.BigQuery provides a uniform way to work with both structured and unstructured data and supports open table formats like Apache Iceberg, Delta, and Hudi and it automatically scales based on your data size and query complexity. **What do you dislike about Google Cloud BigQuery?** Managing Row-level security or Column-level encryption is not as straightforward as in Snowflake or Databricks. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud BigQuery is a modern cloud-based data warehouse that solves several points in big data storage, processing, and analytics. Faster execution of ETL pipelines and Data Analysis. ### 22. One of the best warehousing platform **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Real Estate | Enterprise (> 1000 emp.) **Reviewed Date:** March 12, 2025 **What do you like best about Google Cloud BigQuery?** easy to use faster execution provides partition based storage has active and archival based storage easily integrates with other applications **What do you dislike about Google Cloud BigQuery?** the UI can be improved when you have multiple tabs it becomes slow to navigate through them **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Using BQ as central warehousing platform. Serves as a SOT solution for our system. Due to its time travel benefit you can retrieve your tables back. Utilizing partitioning and clustering benefits a lot. The serverless nature helps to scale well and cost for only the data size scanned. ### 23. Google BigQuery : Great serverless Data warehousing platform **Rating:** 4.5/5.0 stars **Reviewed by:** Mukul M. | Associate Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** November 13, 2024 **What do you like best about Google Cloud BigQuery?** Google BigQuery is one of the great serverless data warehousing platform. It is very scalable and flexible. It also provides support for delta tables. Ease of use in writing and running complex queries with big datasets. **What do you dislike about Google Cloud BigQuery?** It Provides amazing Features but the pricing is too high. User support of BigQuery is also an issue Otherwise, the best platform **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Its ability to run complex queries of TB/GB size data without making it slow and giving you an instant output so that we can do the analysis faster and save much of our time. It provides Scalability, Security benefits but pricing is too high. ### 24. Best Experience yet **Rating:** 5.0/5.0 stars **Reviewed by:** Abanob K. | Software Development Engineer I, Mid-Market (51-1000 emp.) **Reviewed Date:** April 05, 2025 **What do you like best about Google Cloud BigQuery?** Saving queries in the editor for every login **What do you dislike about Google Cloud BigQuery?** not optimized engines. the queries takes alot of time if they are joins **What problems is Google Cloud BigQuery solving and how is that benefiting you?** syncing data from multiple sources ### 25. Excellent all around data and database management environment **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Small-Business (50 or fewer emp.) **Reviewed Date:** February 11, 2025 **What do you like best about Google Cloud BigQuery?** I appreciate the autocompletion, connectivity to other platforms within Google and via 3rd party integrations. Scheduled queries are very helpful for tranformations and other repeating data processes. **What do you dislike about Google Cloud BigQuery?** Not a 'dislike' per se, but increased/improved AI integration would be great. Right now I use ChatGPT very frequently to help with BQ queries because it's better than Gemini, but hopefully that changes in the future. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** As a data warehouse - we are generally able to pull in data from disparate data souces and work with it in a centralized location. ### 26. Best software **Rating:** 5.0/5.0 stars **Reviewed by:** Umitpal s. | Food Service Worker, Small-Business (50 or fewer emp.) **Reviewed Date:** March 21, 2025 **What do you like best about Google Cloud BigQuery?** I strongly recommend it because it is best software in the market according to my experience. it trusted by 90 million people every year and make smarter software decision. **What do you dislike about Google Cloud BigQuery?** According to my experience it is buffering sometimes due network issues so they should work on it. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Yes it is solving my day to day so it every helpful for me & it is make life so simple 😊 ### 27. Great Experience - Google Cloud BigQuery **Rating:** 4.5/5.0 stars **Reviewed by:** Sandeep K. | Project Manager Analytics, Small-Business (50 or fewer emp.) **Reviewed Date:** September 16, 2024 **What do you like best about Google Cloud BigQuery?** Google Cloud BigQuery has several standout features Such as Serverless Architecture, Scalability, Speed, Real-time Data Ingestion, Security and Compliance **What do you dislike about Google Cloud BigQuery?** While Google Cloud BigQuery has many strengths, there are a few aspects that I as a users find challenging are Cost, Flat Table requirement, Overkill for small Datasets **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Serverless Architecture: BigQuery is fully managed and serverless, meaning you don’t have to worry about infrastructure management. This allows you to focus on analyzing data rather than maintaining servers. Scalability: It can handle massive datasets, scaling from gigabytes to petabytes seamlessly. This makes it suitable for both small and large-scale data projects. Speed: BigQuery’s distributed analysis engine can query terabytes of data in seconds and petabytes in minutes, providing incredibly fast SQL analytics. ### 28. Very fast and efficient **Rating:** 5.0/5.0 stars **Reviewed by:** Adnan Laraib A. | Technical Support Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 20, 2025 **What do you like best about Google Cloud BigQuery?** It's serverless architecture lets us use languages like python and sql to answer your organisation's biggest issues with limited infrastructure management. It provides a great way to support all data types , works across clouds , and also has built in machine learning and business intelligence . **What do you dislike about Google Cloud BigQuery?** It has some limitations regarding data export , limited customaization , dependence on Google cloud platform , limited integrations , complexity etc. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Big query is fully integrated with other google cloud platform (GCP) services making it easy to analyze data in conjuction with other GCP resources and tools. ### 29. Best cloud based data warehouse/management tool **Rating:** 4.0/5.0 stars **Reviewed by:** Durgesh m. | Software dev, Small-Business (50 or fewer emp.) **Reviewed Date:** November 25, 2024 **What do you like best about Google Cloud BigQuery?** -Writing query is straightforward as its same as SQL -Integration with other Gcloud products is seamless -Can easily migrate data from database to BigQuery & prepare analytics -Fairly priced -Clean UI & allows easy searching **What do you dislike about Google Cloud BigQuery?** - No cons as such but running large query takes lot of time **What problems is Google Cloud BigQuery solving and how is that benefiting you?** I have used Google BigQuery to prepare statistics & anaytics from Datastore which also part of Google cloud and it heleped so much with discovering insights, Sales pipelines etc. Integrating Datastore to Bigquery was also simple. ### 30. Reviewing BigQuery **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.) **Reviewed Date:** April 05, 2025 **What do you like best about Google Cloud BigQuery?** Fast query processing with big data, easy analytics. **What do you dislike about Google Cloud BigQuery?** The pricing model can feel a bit opaque—it’s based on the amount of data scanned, so even a small mistake in your SQL (like not partitioning or filtering correctly) can lead to surprisingly high costs. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Big data processing, scalability, running complex queries on TB fast. ### 31. sweet experience on Google Cloud BigQuery **Rating:** 5.0/5.0 stars **Reviewed by:** Dinesh M. | software developer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 20, 2024 **What do you like best about Google Cloud BigQuery?** What I like best about Google Cloud BigQuery is how fast and scalable it is for analyzing large datasets. You can run complex SQL queries on massive amounts of data in seconds, without worrying about managing servers or infrastructure. It’s also fully managed,i mean you don’t need to worry about backups or maintenance. it's super easy to integrate with other Google Cloud services, which makes building data pipelines and analytics workflows smoother. **What do you dislike about Google Cloud BigQuery?** only one thing I dislike about Google Cloud BigQuery is its pricing , it’s based on how much data you process in your queries, which can become expensive if you're working with very large datasets or running frequent, complex queries without careful optimization. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery iprovides fully managed, serverless solution, so i don’t have to worry about scaling servers or maintaining databases. i can run complex SQL queries on terabytes or petabytes of data in seconds, allowing you to generate insights quickly. ### 32. Big Query review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Small-Business (50 or fewer emp.) **Reviewed Date:** February 11, 2025 **What do you like best about Google Cloud BigQuery?** Google Cloud Bigquery is a data warehouse solution and the area is outshines is its integration with the cost billing and the use of SQL querying, making it easier for people who already have SQL skills **What do you dislike about Google Cloud BigQuery?** Big Query is pretty limited on the OLTP workloads and real time data processing **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery helps me in approaching data warehousing and analytics challenges by providing fast insights. This leads to improved decision-making. ### 33. BigQuery An upcoming game changer for Data Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Deepak P. | Associate, Enterprise (> 1000 emp.) **Reviewed Date:** September 16, 2024 **What do you like best about Google Cloud BigQuery?** Scalability: BigQuery has no problems handling huge data sets in terms of performance. - Speed: Even with advanced queries, query speeds are exceptionally quick. - interface: Easy interface with Google Sheets and Analytics, among other Google Cloud services. - Security: Strong security measures, such as access limits and encryption. **What do you dislike about Google Cloud BigQuery?** Learning Curve: New users might discover it hard to pick things up, especially if they have never used SQL before. - Cost: For a great deal of pricing may become costly and complex. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** 1. *Faster insights*: I can quickly extract insights from enormous data sets because of BigQuery's speed. 2. *Efficient analysis*: Features including scalability and integration enhance the efficiency of data analysis. 3. *Improved security*: I have additional faith in data protection because of the robust safety precautions. 4. *Simplified workflow*: Data analysis becomes less complex due to BigQuery's simplicity. 5. *Better decision-making*: Quicker answers and more effective analysis make decisions easier. ### 34. BigQuery is an easily availble database **Rating:** 4.5/5.0 stars **Reviewed by:** John W. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 17, 2025 **What do you like best about Google Cloud BigQuery?** BigQuery is reachable via my Google Collab account **What do you dislike about Google Cloud BigQuery?** Google Collab has download data-size limitations! **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Like any database it allows complex CTE queries ### 35. Best Query Interpeter **Rating:** 5.0/5.0 stars **Reviewed by:** Sachin B. | Data Analyst, Construction, Mid-Market (51-1000 emp.) **Reviewed Date:** March 13, 2025 **What do you like best about Google Cloud BigQuery?** Big query in google sheet literally too much biggest helper for me from taking data from db and send data to looker studio and all ease of use **What do you dislike about Google Cloud BigQuery?** Google big query is little bit slower but it's best we can say need of some tech side person **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Very Best to Solving big puzle in data via big query and simplest thing ### 36. A Comprehensive guide to Google BigQuery **Rating:** 5.0/5.0 stars **Reviewed by:** Venkata M. | Bench Sales Recruiter, Small-Business (50 or fewer emp.) **Reviewed Date:** September 16, 2024 **What do you like best about Google Cloud BigQuery?** Google BigQuery is designed for fast querying of large data sets.It can handle massive datasets with ease BigQuery supports real-time data ingestion and analysis Bigquery is a powerful feature for users looking to incorporate machine learning in to their data workflows without needing specialized knowledge,It is easy to navigate and user friendly interface,BigQuery supports various formats and methods for importing or exporting the data. **What do you dislike about Google Cloud BigQuery?** Although BigQuery supports real time data ingestion there can be some latency between when data is ingested and when it becomes available for querying,which may be a drawback for use cases requiring immediate analysis **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Manging large scale data storage and processing can be complex,Integrating and processing data from various source can be cumbersome.It improves Query performance and robust security,users can perform sophisticated analyitics and build machine learning models,It is cost efficient and easy to use.Built-in security features help to protect sensitive data. ### 37. Well synced with Google marketing products **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.) **Reviewed Date:** February 11, 2025 **What do you like best about Google Cloud BigQuery?** The data I mostly work are marketing data sets like Google analytics, Google ads, Dv360 and campaign manager data and to transfer these data to bigquery its very seemless. **What do you dislike about Google Cloud BigQuery?** Since it charges based on query we have to be extra carefully and optimize our queries in order to cut cost **What problems is Google Cloud BigQuery solving and how is that benefiting you?** We are creating customer data platform so we can get the unified view of our customers. This helps in segmentation and retargeting ### 38. Cloud BigQuery Review **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** May 02, 2025 **What do you like best about Google Cloud BigQuery?** It’s intuitive for the most part and has nice UX features **What do you dislike about Google Cloud BigQuery?** Can be a bit cluttered at times and don’t love the jargon **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Streamlining data that’s otherwise all over the place ### 39. Game changer! **Rating:** 5.0/5.0 stars **Reviewed by:** Rashi K. | Employee Experience Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** February 11, 2025 **What do you like best about Google Cloud BigQuery?** Well it is insanely fast and integrates easily! I appreciate how easy it is to get insights **What do you dislike about Google Cloud BigQuery?** hmmm .. i guess that as users we might not know the cost of running a query given that the cost is determined based on the queries we feed in **What problems is Google Cloud BigQuery solving and how is that benefiting you?** I can run queries on large transaction data in real time to detect frauds and other red-flag cases (I am from fintech space) ### 40. Simple and Effecient **Rating:** 4.5/5.0 stars **Reviewed by:** Abdullah E. | Yield & Revenue Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** April 04, 2025 **What do you like best about Google Cloud BigQuery?** Simplicity of integration with other google related services and software. **What do you dislike about Google Cloud BigQuery?** Not enough customization for my needs, or integration with our current system software. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It provides scalable solutions for my data needs and integrates easily with other google services that my company uses. ### 41. It was pleasant **Rating:** 2.5/5.0 stars **Reviewed by:** Deniz . | Unemployed, Small-Business (50 or fewer emp.) **Reviewed Date:** March 24, 2025 **What do you like best about Google Cloud BigQuery?** It is easy to use and its fast. It handles large datasets very quickly as well. **What do you dislike about Google Cloud BigQuery?** The cost is sometimes unpredictable, and updates sometimes is slow **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Google Cloud BigQuery solves big data processing challenges. It supports real time insights and also it integrates well with ML tools. ### 42. Evaluating of Google cloud **Rating:** 4.0/5.0 stars **Reviewed by:** Shyamprasad Reddy G. | Senior System Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 21, 2025 **What do you like best about Google Cloud BigQuery?** Uses a distributed architecture and colmunar storage for high speed sql queries. **What do you dislike about Google Cloud BigQuery?** Complex pricing model- understanding storage query and streaming requests requires careful planning. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** It solves the analysing big data by offering a server-less, scalable platform with high performance. It handles petabyte scale datasets and eliminates the needs for managing infrastructure, making it easier to team to work on analysis. ### 43. My experience with the server is good and overall I will give the platform 4/5 stars. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Mid-Market (51-1000 emp.) **Reviewed Date:** September 12, 2024 **What do you like best about Google Cloud BigQuery?** The best part of the software is how easy it is to to use with all the entries Google cloud eco system especially the design of Google SQL cloud that resemble the traditional PostgreSQL UI. It make integration super easy for me. **What do you dislike about Google Cloud BigQuery?** It's very expensive and their billing system is enormous. I also think they can integrate a basic data visualization into the BigQuery studio to make data engineer job a lot easier. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Cloud Database storage, as a data engineer they have make my job a lot easier, however they could improve their API to connect to other company database. The API system is very complicated to use. I understand this is good for security but there's a way they could utilize some advanced 2FA techniques to make using the API a lot more easier for the users. ### 44. Easy to integrate and scale **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.) **Reviewed Date:** January 29, 2025 **What do you like best about Google Cloud BigQuery?** There are 2 things which i like most about BigQuery, 1st is the ease of integration and 2nd is how easy it is to scale because of its severless architecture, it also has upcoming machine learning and ai capabilities, i have yet to try those but so far it is been great using it. **What do you dislike about Google Cloud BigQuery?** I have little to dislike about bigquery but some of the things that i dont like are, poor customer service and a steep learning curve. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** I am not required to manage big storage or softwares in order to store huge amount of data and analyse and gain insights,it saves my time and resources ### 45. used Google Cloud BigQuery for analyzing large datasets **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** May 02, 2025 **What do you like best about Google Cloud BigQuery?** The setup was minimal, and its serverless architecture meant I didn’t need to manage infrastructure **What do you dislike about Google Cloud BigQuery?** Cost unpredictability: Since it's billed based on data processed, poorly written queries or large scans can become expensive quickly. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** BigQuery handles petabyte-scale datasets without requiring infrastructure management. This allows me to analyze massive volumes of data quickly and without worrying about provisioning or scaling servers. ### 46. fast,easy, our go-to data warehouse sulotion **Rating:** 5.0/5.0 stars **Reviewed by:** Matan H. | ds team lead, Small-Business (50 or fewer emp.) **Reviewed Date:** October 24, 2024 **What do you like best about Google Cloud BigQuery?** end to end pipeline made easy with bq, we use it on hourly basis and the consule is very nice for quick checks. very easy to implement all wrappers to integrate our pipelines **What do you dislike about Google Cloud BigQuery?** In some things documentation is quite not understandable and not fully coverage everything. do not have "debug" emulator for dev porpuses before prod. so it is always will price in compute. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** democrezating data patterns. fullt managable data warehouse. easy serving data to 3rd party services ### 47. Google cloud bigquery helpful analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Publishing | Mid-Market (51-1000 emp.) **Reviewed Date:** February 02, 2025 **What do you like best about Google Cloud BigQuery?** We can do the analysis of the raw data by connecting different platforms. **What do you dislike about Google Cloud BigQuery?** We need to have some SQL knowledge to run the query to get the desired result. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** With the help of google bigquery we are able to analyze the raw data which is filling the missing links in the data and helping us in taking the data driven decesions. ### 48. BigQuery for storage **Rating:** 4.5/5.0 stars **Reviewed by:** Abhijith Y. | Data engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 05, 2024 **What do you like best about Google Cloud BigQuery?** At my previous role, i liked few thing i liked ,where I leveraged Google BigQuery as the primary storage solution for handling large volumes of data in automotive analytics projects for Jaguar Land Rover. I developed and implemented ETL processes to ingest and store data efficiently in BigQuery, ensuring seamless integration and easy access for analysis. The two main features that help in cost saving are the clustering and partitioning of the data based on data. **What do you dislike about Google Cloud BigQuery?** Most of the features of google bigquery are good and cost effective .The only thing that can be imporoved are integrating bigquery with more systems. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** We utilized Google Cloud BigQuery to address several critical challenges in managing and analyzing large volumes of automotive data for Jaguar Land Rover. BigQuery’s scalable architecture solved our scalability issues, allowing us to handle vast datasets efficiently without performance bottlenecks. This significantly improved our query execution times, enabling faster data analysis and timely insights. The integration capabilities of BigQuery simplified our ETL processes, allowing us to seamlessly ingest and transform data from diverse sources. Additionally, BigQuery's cost-effective pay-as-you-go model helped us manage our expenses better by only paying for the resources we used. ### 49. Fast, scalable, but pricey **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** March 07, 2025 **What do you like best about Google Cloud BigQuery?** Incredibly fast, integrates easily with other Google Cloud services, and supports standard SQL, making it easy to use. **What do you dislike about Google Cloud BigQuery?** When I used to use it, it was pay per query pricing can get expensive if not monitored. Overall, it's a powerful and scalable data warehousing solution. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** Infrastructure is the biggest plus. It is easy to analyze massive datasets without worrying about performance. It runs complex queries in seconds, plus, it scales automatically, so performance isn’t an issue even with huge data loads. ### 50. Google Cloud BigQuery: Ultimate tool for Big Data Analysis **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Reviewed Date:** November 21, 2024 **What do you like best about Google Cloud BigQuery?** It's Performance, Scalability, Speed, Serverless Architecture, Cost Efficiency, Integration with Google Cloud, Real time analysis, SQL Support, ML integration. **What do you dislike about Google Cloud BigQuery?** It's Storage Cost, Query limitations, Good for large scale analytics but not good for low-latency transactional applications, Limited support in Transactions, Export limitations, Data load limitations, No support for non-relational data. **What problems is Google Cloud BigQuery solving and how is that benefiting you?** For managing data which is in multiple sources like on-premises, cloud, and third-party services and integrating it for analysis can be complex. So on that time in used it made easy to centralised and analyze that data. This integration saves time and reduces many complexity. ## 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=4§ion=pricing&secure%5Bexpires_at%5D=2026-07-01+08%3A13%3A36+-0500&secure%5Bsession_id%5D=b57183c3-7601-4935-b162-c7f671e51b2f&secure%5Btoken%5D=9435609e305700d763638d642804f3ede3990d7b9c4eb3fba6e0b8a10aec0eca&format=llm_user) ## Google Cloud BigQuery Integrations - 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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) - 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