Google BigQuery

What differentiates Google BigQuery from other similar products?

In all big organizations, Google BigQuery is used to assist uncover business value from very big, diverse data sets. Google BigQuery is smartly crafted to analyze data with millions of entries using a syntax similar to SQL. It makes use of the data processing equipment that is incorporated into the Google Cloud Platform to deliver extremely rapid performance.

What is your favorite aspect of this product?

Google BigQuery is an excellent and quick data warehouse system with quick data access. Our data appeared to be easily integrated into the cloud, and utilizing BigQuery with BI tools makes it simple to retrieve. It has greatly increased our analytical capacity and advanced our company. Comparatively speaking to other software packages we have used, running queries is simple and quick.

What do you dislike most about this product?

I don't have many complaints about the user side of things. The one thing we might say we don't like is the price, although BigQuery is reasonably priced compared to other cloud service providers. They share many of the same features as other cloud service providers. The costs could skyrocket if we don't correctly structure the queries.

What recommendations would you give to someone considering this product?

Google BigQuery is a powerful big data solution that is designed to assist users to comprehend and control all the different sorts of data gathered from numerous data sources in their organization. Google BigQuery also offers real-time statistics, enabling managers to decide on sales targets or customer demands based on the most recent data rather than conjecture.

What differentiates Google BigQuery from other similar products?

Google BigQuery is among the fastest, most user-friendly, cloud-based data-querying technologies available. The best ever aspect is that it grants us access to a vast data processing and storage system that can deal with even the most difficult requests. With Google BigQuery, query execution is incredibly quick, and the underlying engine constantly seeks to scale or improve query performance to fulfill SLAs.

What is your favorite aspect of this product?

With Google BigQuery, we can create a robust and comprehensive data warehouse with full reporting and dashboarding capabilities for our company. I enjoyed Big data access and validation using a straightforward browser and data cleaning to produce reliable results. Ml was made easy by Google BigQuery. Due to the fact that we don't have to pay for hardware, it is significantly more affordable than on-site data storage.

What do you dislike most about this product?

One problem that I have encountered there is that BigQuery does not support all SQL statements. You must have a basic understanding of coding to use this platform. It could cost you a lot of money if you use incorrect code and submit all the data to a huge query. Finding some tables and pinning a project can be challenging in some circumstances.

What recommendations would you give to someone considering this product?

Without a doubt, I'd advise it. Companies that have the ability to evaluate information from several different sources might learn important details about the actions of their customers. Google BigQuery is an effective tool for data analytics since it offers quick access to vital corporate data. The best tool for handling extraordinarily massive volumes of data is Google BogQuery.

What differentiates Google BigQuery from other similar products?

In our company, we use BigQuery to hold incredibly detailed data. Our end-users and staff are then given extremely thorough reports based on the data that has been gathered. Members of Google Support are excellent at solving problems and answering questions. Any concerns or questions will be promptly addressed professionally, along with suggestions for how the offered solutions might be improved.

What is your favorite aspect of this product?

A vast number of datasets can be stored by Google BigQuery at the most subtle level. Query execution is done extremely quickly even in seconds when compared to conventional SQL servers. Ingesting files and APIs in batches and streams can be readily possible. Automating reporting and refinement, executing business logic, merging data from many sources, and reformatting are all simple with Google BigQuery.

What do you dislike most about this product?

Sometimes utilizing Google BigQuery can be problematic due to the different syntax requirements. You must take precautions while conducting any queries because the expense is too high: we have to pay per query. It can be a little hard to handle somebody with less technical understanding because it calls for SQL knowledge.

What recommendations would you give to someone considering this product?

Moving to Google BigQuery just makes perfect sense if your business has a huge amount of data and you require quick data processing; otherwise, there are less expensive options available. So, after carefully evaluating your needs, implement it if you determine that it is required for your business setting.