Google BigQuery Reviews

What do you like best about Google Cloud BigQuery?I use BigQuery every day for data pipelines, querying, and analysis. The standout for me is its speed: queries run quickly even on very large datasets, which means I can finish analysis sooner. Getting set up was straightforward, and the interface is clean and easy to work with. I also schedule queries to generate our daily reports, which cuts down on manual effort. The built-in AI assistant is a helpful addition as well—I can select a query and use AI to customize it, and when something errors out, it can generate a corrected version for me.What do you dislike about Google Cloud BigQuery?When a query is incorrect, the error message often doesn’t clearly indicate where the problem is or what triggered it, which slows down debugging. Another limitation is INSERT throttling: within any 24-hour period, the first 1,500 INSERT statements run immediately, but after that the allowed concurrency for INSERTs to a table drops to 10. For heavier write workloads, this requires extra planning.What problems is Google Cloud BigQuery solving and how is that benefiting you?BigQuery lets me run analyses and build data pipelines on large datasets without having to worry about queries slowing down. Scheduled queries automate our daily reports, so the data is ready on time and we don’t have to trigger runs manually. Overall, it helps me move from raw data to clear answers much faster.

What do you like best about Google Cloud BigQuery?User-friendly interface, Gemini support, seamless data integrationWhat do you dislike about Google Cloud BigQuery?Would love to see a data map that shows how tables are connected to each otherWhat problems is Google Cloud BigQuery solving and how is that benefiting you?Quick data extraction and manipulation.

What do you like best about Google Cloud BigQuery?BigQuery is our data warehouse and everything runs through it. We load product data from Mongo, Salesforce and other sources into it, and it feeds Tableau, Mixpanel and our internal tools. Queries on big event tables are fast, standard SQL is easy to work with, and I don't need to manage any infrastructure. The MCP connector also lets me query the warehouse straight from Claude, which saves me a lot of time on ad-hoc analysis.What do you dislike about Google Cloud BigQuery?Permissions setup takes time. Every new service account or integration needs the right roles (dataViewer, jobUser) at the project or dataset level, and it's not always clear which one is missing. Cost also needs watching, because a query on a big unpartitioned table can get expensive fast. Some Gemini in BigQuery features were also hard to enable and didn't work right away.What problems is Google Cloud BigQuery solving and how is that benefiting you?Product analytics for accessFlow, accessScan and the customer portal: funnels, retention, A/B tests, daily Mixpanel briefs, and ARR reporting for Tableau dashboards.

What do you like best about Google Cloud BigQuery?I really like Google Cloud BigQuery because it makes working with large volumes of data much easier. As a software developer, I use it regularly to collect, organize, and manage Google Ads and CRM data from platforms like LeadSquared. Scheduled queries are especially helpful for automating data refreshes, and SQL makes it straightforward to pull information, join datasets, and analyze lead and conversion performance.What do you dislike about Google Cloud BigQuery?Recommendations to others considering Google Cloud BigQuery?Another thing I appreciate is its integration with Power BI, which simplifies building reports and interactive dashboards. The interface feels clean and user-friendly, so working with data doesn’t feel overly complicated. I also find the pricing reasonable for the features and processing power it provides. Since everything is cloud-based, I don’t have to worry about maintaining physical servers or managing database infrastructure.What problems is Google Cloud BigQuery solving and how is that benefiting you?One limitation I’ve run into with Google Cloud BigQuery is that it doesn’t allow UPDATE, DELETE, or MERGE operations on records that are still in the streaming buffer. This becomes frustrating when I need to make quick corrections or adjust data that was just inserted. In practice, I sometimes have to wait until those records are fully processed before I can make any changes. It would be great if BigQuery offered more flexibility for handling recently streamed data, especially when I’m working with real-time CRM and Google Ads information.

What do you like best about Google Cloud BigQuery?What I like most about BigQuery is that I can work with large amounts of data without worrying too much about managing servers or infrastructure. Running SQL queries is straightforward, and even when working with bigger datasets, the results usually come back quickly. I also like how easily it connects with other Google Cloud services. It makes data analysis much simpler and saves a lot of time compared to handling everything manually.What do you dislike about Google Cloud BigQuery?One thing I find less helpful is that BigQuery costs can become difficult to manage if queries are not optimized properly. Beginners may also need some time to understand the pricing, permissions, and overall setup. The interface can feel a bit overwhelming at first, especially for someone who is new to Google Cloud.What problems is Google Cloud BigQuery solving and how is that benefiting you?BigQuery helps solve the problem of handling and analyzing large amounts of data efficiently. Instead of spending time managing databases and infrastructure, I can focus more on running SQL queries and getting useful insights from the data. It saves time, makes reporting easier, and helps in making better decisions based on data.

What do you like best about Google Cloud BigQuery?Really Fast columnar queries easy to manage and connect with google services such as adds or google play storeWhat do you dislike about Google Cloud BigQuery?Pricing model. The cost of big query can scale super fast especially in self serve analytics teams like mineWhat problems is Google Cloud BigQuery solving and how is that benefiting you?Ability to store massive amount of data generated in our app and for our app by vendors. Also share data sets with more confidence and in a secure way.

What do you like best about Google Cloud BigQuery?Google Cloud BigQuery is incredibly easy to set up. The UI is clear and intuitive, and the Google Cloud platform overall has, in my experience, the best interface among the major providers. The integration with LLMs has also been fantastic, making it easier to connect everything and start seeing immediate ROI. Pricing is more than fair.What do you dislike about Google Cloud BigQuery?There’s still a bit of a learning curve, but overall it’s the most beginner-friendly cloud platform I’ve used.What problems is Google Cloud BigQuery solving and how is that benefiting you?It’s our central data warehouse, and with a few additional scripts running, it does the job of paid applications that would cost thousands of dollars—at pennies on the dollar. If you have an idea, you can build it, test it, and deploy it in an afternoon. Perfect.

What do you like best about Google Cloud BigQuery?BigQuery is a fantastic data warehouse with nearly unlimited computing power where queries finish within seconds. It has several configuration options for cost management, security setup, and storage options.What do you dislike about Google Cloud BigQuery?Sometimes a unified design within Google is lacking with all of the different products like Knowledge Catalog, BigQuery, Data Fusion, etc.What problems is Google Cloud BigQuery solving and how is that benefiting you?It is enabling our business for self-service analytics and also allowing for enterprise data modeling to prepare the data in Looker.

What do you like best about Google Cloud BigQuery?Easily connects to Google products, such as Sheets, Cloud Storage.What do you dislike about Google Cloud BigQuery?Navigation within Google Cloud is difficult. All the different platforms and solutions are very confusing to navigate for non-technical usersWhat problems is Google Cloud BigQuery solving and how is that benefiting you?Able to coordinate the orchestration, ingestion and cleaning of data from lots of external sources

What do you like best about Google Cloud BigQuery?I use Google Cloud BigQuery as our primary data warehouse for data from across the organization. I like that it lets us join data from many group businesses and their sources that we otherwise couldn’t use in combination. It’s easy to use and has a familiar SQL-like interface. Querying data from diverse sources feels like writing a query against one Postgres database and doesn’t require reskilling.What do you dislike about Google Cloud BigQuery?I find the fully qualified table names a bit verbose, though it’s really a non-issue. I’d like to be able to alias them uniquely to my account, so I can use a simple name like Products instead of project-dataset.Products.What problems is Google Cloud BigQuery solving and how is that benefiting you?I can join data from many group businesses and their sources that we otherwise couldn’t use in combination.