Google Cloud BigQuery Reviews & Product Details

I like that Google Cloud BigQuery can handle big tables easily, and I can integrate it with other Google products like GA4 or Looker Dashboard. Fetching and processing traffic data from Google Analytics was super easy for me. Review collected by and hosted on G2.com.

Although I know the product is technical, it could have an easier UI so that it would be much easier for beginners or people with low tech expertise. There could have been several improvements like a tool tip explaining what each button is used for, some knowledge base, or an AI bot to help people out. Review collected by and hosted on G2.com.

the thing i like most is powerful, reliable serverless architecture. my job is to build data pipelines, it lets me completely forget about cluster sizing, scaling up for peak loads, and patching servers, i just point my ETL tools like dbt at BigQuery and the query engine handles multi terabyte transformation instantly using parallel processing. the integration with the whole GCP ecosystem cloud storage for storage and airflow for orchestration is seamless, making it easy to build robust , automated pipelines, its a total game-changer for efficiency. Review collected by and hosted on G2.com.

the bill can spike dramatically, very quickly , we had to spend a significant amount of time setting up internal governance, strict user quotas and mandatory partitioning polices to keep the budget under control. Review collected by and hosted on G2.com.

Data in BigQuery is stored in structured tables and thus it helps me to analyze the large chunk of data very easily. We can also use standard SQL commands enabling fast, scalable and efficient data analysis. It is much economical as you only need to pay for the service you use. Review collected by and hosted on G2.com.

BigQuery is good for handling large amount of data but a simple query also might takes a few seconds to run. Review collected by and hosted on G2.com.

Google Cloud BigQuery is the only platform that comes to my mind when it comes to handling large amount of data. The platform is really intuitive and it comes built-in SQL Query tool, to query my data. Review collected by and hosted on G2.com.

The platform can be overwhelming for beginners, but once they get familiarised it is really useful Review collected by and hosted on G2.com.

well, the main thing that i like is its Google, its customer services are top notch, whenever we face any issues, they resolve it asap, i am using GCP from last 4 years, and each service is amazing, BigQuery is my fav data warehousing tool because it has good speed and scalability, i work with it daily to handle huge datasets, and it give me best performance, its other service are so easy to use that i can integrate and implement my workflow easily,,, the SQL interface is very comfortable and features like partitioning and clustering make queries faster with less cost, i have integrated it with tableau and cloud storage. Review collected by and hosted on G2.com.

personally, i just love it , there are no such things to dislike it, yeah it works slowly sometimes , but its negotiable, i dont have any complaints in it. Review collected by and hosted on G2.com.

I like using Google Cloud BigQuery because it eliminates the complete infrastructure step, which is awesome. The easy-to-use interface is a great option from creating to testing. I appreciate the fast performance and the ability to integrate with other tools, like connecting with Google Looker Studio for visualization. It just makes life easier. The initial setup was very easy, and it provides a smooth analysis process with less setup. No infrastructure setup, easy to understand, and a great user interface are significant positives for me. Review collected by and hosted on G2.com.

Maybe the pricing could be a bit better. Review collected by and hosted on G2.com.

i am using GCP as main cloud platform, along with Azure, and BigQuery is my favorite data warehousing tool and also for model development. i like it because its fast and stable, and also its scalability is great as compare to other cloud. its been more than 2 years , and still using it for handling huge datasets so easily. and i just love the integration of BigQueryML , i mean its amazing i can build and train simple ML models directly using SQL. it helps me a lot when i want to test quick predictions or run feature analysis without moving data to another platform, i have connected it with Vertex AI and looker and Tableau. to make end to end pipelines. and it really easy to use. Review collected by and hosted on G2.com.

i dont have any complaint about performance issue, but yeah its lil bit costly, if i run multiple experiments or large queries, it can get expensive fast,. but its okay because i am getting fast and large scale ML workflows. Review collected by and hosted on G2.com.

GCP is my primary Cloud platform in my company. And i use BigQuery daily for data warehousing and ETL process. I like it , its really very fast as compare to other cloud , and its easy to use for any datasets. i have queried billions of rows using just SQL . And personally i just love the google environment, like it integrates with Google CLoud , dataflow and google storage, also i have integrated it with Tableau for data visualization. its very smooth, i like how easy it is to load data from different source. Review collected by and hosted on G2.com.

its been a year now , and still i am using it without any issues, like costing okay because its performance is very good, but its not for personal use or small project because its lil bit expensive. Review collected by and hosted on G2.com.

It works similarly to other databases, and it also supports scripting in multiple languages such as shell scripts, SQL, and JavaScript. We used it to build interactive vulnerability data dashboards in Google Looker Studio by extracting data from Axonius into BigQuery and then using BigQuery as the data source. Review collected by and hosted on G2.com.

We’ve scheduled multiple SQL jobs, and when they failed during the daily runs, we wanted to send an email notification. However, we weren’t able to configure the email setup. Review collected by and hosted on G2.com.

I really like Google Cloud BigQuery's interface; it’s very neat and everything looks like it's in one place. I can easily switch between BigQuery, Vertex AI, and other tools I need, making transitions smooth and finding whatever I'm looking for pretty easy. It's very convenient. I also appreciate the advanced SQL features it offers compared to standard SQL. It makes some tasks easier, and I find the estimation of query costs really helpful as it allows me to optimize my queries before running them. Review collected by and hosted on G2.com.

no negative point Review collected by and hosted on G2.com.