Google BigQuery

What differentiates Google BigQuery from other similar products?

Google BigQuery is well-liked on the front end because it is cost-effective and easy to use, but when it comes to execution, it is an enterprise data warehouse that is totally serverless, has integrated ML and BI is cross-cloud compatible and expands with all of our business data. We can access and use our data wherever it is by using BigQuery, which eliminates the need for a separate repository to store data.

What is your favorite aspect of this product?

I was able to easily analyze data from the many clouds in a secure, quick, and convenient manner using the Google BigQuery platform, and I was able to disseminate only the outputs that were required and of high quality using a single user interface. With the help of this wonderful technology, we can now dramatically streamline our research, learn new things about spatial data, and build entirely new business potential.

What do you dislike most about this product?

The UI did not particularly appeal to me; in my opinion, it should be more understandable, simple to use, customizable, and logical. Except for it, the query quality is excellent and all other operations go without a hitch. I want to design our dashboards as rapidly as possible based on the needs that are currently a little overwhelming.

What recommendations would you give to someone considering this product?

BigQuery is a tool that can be helpful for massive data as its name implies. Since everything can be done inside the BigQuery Platform with a single touch, using manual ML models is no longer necessary to transform large amounts of raw data into profitable analytics. In contrast to competitors, it provides a less complex yet effective data analysis store that will help business expansion and earnings.

What differentiates Google BigQuery from other similar products?

Although data models design and sharing are both feasible through the user interface, I would also like a new feature that would allow me to directly compare analytical data to other outputs. Outside of Google Cloud, add-ons also require improvement. Even though we had an analytical data store, we've been fighting a data disaster at work for years because it was hard to implement and we weren't sure how to use it correctly. Google BigQuery has eliminated the hassle of data maintenance while also transforming our messy data into valuable business insights. It has established itself as our big data's analytical data store.

What is your favorite aspect of this product?

I am a data expert, and I found it useful in that it allowed me to quickly develop and execute machine learning models on our source data at a wider scale inside the Google BigQuery infrastructure, cutting my working time in half. It is a win-win situation because it is faultless, sophisticated, and fairly priced.

What do you dislike most about this product?

Even while the present techniques are effective, some of my clients would rather receive simple warnings when their payment goes over a specific threshold. It occasionally frustrates me that there are so few heuristic options, like grouping and reformatting, because I can't always find what I'm looking for.

What recommendations would you give to someone considering this product?

Any data expert working on a platform other than Google BigQuery is, in my opinion, missing out on the true quality and value of their data. I advise them to compare the effectiveness and results of both analytical data platforms; they will be astounded by Google BigQuery's features and functionality. Its reasonable pricing makes it accessible to even tiny businesses.

What differentiates Google BigQuery from other similar products?

Google BigQuery is very easy to use and manages the storage and compute all by itself

What is your favorite aspect of this product?

The BI Engine included with BigQuery provides faster results for KPIs on any BI tool as compared to any other Data Warehouse

What do you dislike most about this product?

The new UI provided by BigQuery is not very intuitive and it takes a while for users to switch from the old to the new view and understand the functionality

What recommendations would you give to someone considering this product?

This is a super easy to use Data Warehouse which caters to all business requirements and does not require much configuration